{ "count" : 129270, "data" : [ { "id" : "6a191e7758b93c861e39f7d4", "title" : "Release Train Engineer - IT for MO", "industry" : "Technology", "salary" : { "min" : 2800000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for IT in Bangalore, India, adjusted for Manager seniority and Senior experience level in the Technology industry." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "SAFe RTE certification" ], "timestamp" : "2026-06-15T09:51:14.426", "fingerprint" : "5360afa05b8c4ec555a043459dc09276b96d8a0282a382ecc0ca6738a2e23198", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=887318", "externalId" : "887318", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Agile delivery, Program leadership, SAFe framework", "majorSkillsList" : [ "Agile delivery", "Program leadership", "SAFe framework" ], "coreResponsibilities" : "Lead PI Planning, Facilitate ART syncs, Facilitate system demos, Facilitate Inspect & Adapt workshops, Orchestrate cross-team dependencies, Manage risks (ROAM), Resolve impediments, Ensure predictable delivery, Manage cadence and flow, Track ART-level KPIs, Report ART-level KPIs, Partner with Product Management, Partner with Architects, Partner with Business Owners, Align priorities and execution, Coach Scrum Masters, Coach teams on Lean-Agile, Coach teams on SAFe, Drive continuous improvement, Enhance delivery maturity, Enhance operational excellence, Foster transparency, Foster accountability, Foster collaboration", "teamCollaboration" : "Cross-team dependencies; Cross-functional teams; Scrum Masters and teams", "projectManagementSkills" : [ "Agile delivery", "Program leadership", "Cadence management", "Flow management" ], "domainKnowledge" : "Enterprise-scale Agile", "domainList" : [ "enterprise-scale-agile" ], "domainSpecificKnowledge" : [ "Enterprise-scale Agile" ], "communicationSkills" : "Executive communication", "problemSolvingSkills" : "Risk management; Impediment resolution", "outcomesObjectives" : "Predictable delivery of digital products; Enhance delivery maturity; Enhance operational excellence", "qualificationsBasic" : "8+ years Agile delivery, 2+ years program leadership, SAFe framework understanding, Enterprise-scale Agile execution, Manage complex digital programs, Multiple cross-functional teams, Stakeholder management, Executive communication skills", "qualificationsPreferred" : "SAFe RTE certification", "remoteFriendly" : false, "rawDescription" : "Description - External Key Responsibilities Lead and facilitate Program Increment (PI) Planning , ART syncs, system demos, and Inspect & Adapt workshops Orchestrate cross-team dependencies, risk management (ROAM), and impediment resolution Ensure predictable delivery of digital products through effective cadence and flow management Track and report ART-level KPIs (velocity trends, predictability, quality, flow metrics) Partner with Product Management, Architects, and Business Owners to align priorities and execution Coach Scrum Masters and teams on Lean-Agile principles and SAFe practices Drive continuous improvement initiatives to enhance delivery maturity and operational excellence Foster a culture of transparency, accountability, and collaboration Qualifications & Experience 8+ years of experience in Agile delivery, with 2+ years in a program-level leadership role Strong understanding of SAFe framework and enterprise-scale Agile execution Experience managing complex digital programs with multiple cross-functional teams Strong stakeholder management and executive communication skills SAFe RTE certification preferred Description - External Key Responsibilities Lead and facilitate Program Increment (PI) Planning , ART syncs, system demos, and Inspect & Adapt workshops Orchestrate cross-team dependencies, risk management (ROAM), and impediment resolution Ensure predictable delivery of digital products through effective cadence and flow management Track and report ART-level KPIs (velocity trends, predictability, quality, flow metrics) Partner with Product Management, Architects, and Business Owners to align priorities and execution Coach Scrum Masters and teams on Lean-Agile principles and SAFe practices Drive continuous improvement initiatives to enhance delivery maturity and operational excellence Foster a culture of transparency, accountability, and collaboration Qualifications & Experience 8+ years of experience in Agile delivery, with 2+ years in a program-level leadership role Strong understanding of SAFe framework and enterprise-scale Agile execution Experience managing complex digital programs with multiple cross-functional teams Strong stakeholder management and executive communication skills SAFe RTE certification preferred Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Release Train Engineer - IT for MO. Skills: Agile delivery, Program leadership, SAFe framework. Lead PI Planning. Facilitate ART syncs", "createdAt" : "2026-06-14T02:01:15.377", "lastUpdated" : "2026-06-15T09:51:14.426", "ingestTimestamp" : "2026-06-14T02:01:15.377", "mongoId" : "6a191e7758b93c861e39f7d4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agile delivery", "Program leadership", "SAFe framework", "Cadence management", "Flow management", "Enterprise-scale Agile", "SAFe RTE certification" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 1548.5955, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677ab0", "title" : "Freigabe (Release) Management", "industry" : "Manufacturing", "salary" : { "min" : 1150000.0, "max" : 1850000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Release Management role in Pune, India, adjusted for the manufacturing industry and full-time employment." }, "location" : "India-Maharashtra-Pune", "locations" : [ "India-Maharashtra-Pune", "5th & 6th Floor, Wing B, Building Congo, Block 1.3, , Pune" ], "timestamp" : "2026-06-16T01:04:42.569", "fingerprint" : "0265702b3dda2a5051f2fc5d124ba411acbb5282eb7d27b5feae3e353990784c", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883947", "externalId" : "883947", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 8, "experienceLevel" : "Mid", "technicalSkills" : "Unigraphics NX, Teamcenter, Microsoft office", "professionalSkills" : [ "Product Data Management", "Engineering Change Management", "Variants Control", "BOM management" ], "hardSkillsList" : [ "Excel knowledge" ], "hardSkills" : [ { "name" : "Excel knowledge", "level" : "intermediate" } ], "majorSkills" : "Product Data Management, Release Management, Change Management", "majorSkillsList" : [ "Product Data Management", "Release Management", "Change Management" ], "coreResponsibilities" : "Perform Product Data Management tasks, Perform related tasks", "teamCollaboration" : "Interact with German teams", "domainKnowledge" : "MB Norms; DBL standards", "domainList" : [ "mb-norms", "dbl-standards" ], "domainSpecificKnowledge" : [ "MB Norms", "DBL standards" ], "toolProficiency" : [ "Unigraphics NX", "Teamcenter", "Excel" ], "specialRequirements" : "Minimum one year working exposure with Europe/ European clients", "qualificationsBasic" : "2-8 years of experience in Product Data Management, Worked with Global Companies, Microsoft office skills, Good Excel knowledge, Power point presentation, Know how CAD Software Unigraphics NX, Know how Teamcenter", "qualificationsPreferred" : "German OEMs/Tier 1s preferred, Experience in MB Norms, Experience in DBL standards, DIALOG advantage, SMARAGD advantage, German Language will be an added advantage", "remoteFriendly" : false, "rawDescription" : "Job Description for Product Data Management Activity for Interior & Exterior components Education & Training: B.E (Mechanical / Production), Relevant Experience Required: About 2-8 years of experience in Product Data Management (Release and Engineering Change Management). Must have had worked with Global Companies (German OEMs/Tier 1s preferred) Skill Requirements: Knowhow of Product Data Management (Release) Activity, Knowledge of Change Management, Variants Control & BOM management Experience in MB Norms and DBL standards, DIALOG and SMARAGD will be an advantage. Intercultural Experience: Minimum one year working exposure with Europe/ European clients. Must be able to interact with the German teams. German Language will be an added advantage. Must be a Team Player; should have the attitude to work with the team & also shoulder individual responsibility wherever needed Microsoft office skills with good Excel knowledge, power point presentation Know how CAD Software Unigraphics NX and Teamcenter Job Responsibilities: Perform Product Data Management & related tasks based on customer requirement. BE - Mechanical Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Freigabe (Release) Management. Skills: Product Data Management, Release Management, Change Management. Perform Product Data Management tasks. Perform related tasks", "createdAt" : "2026-06-14T21:28:47.227", "lastUpdated" : "2026-06-16T01:04:42.569", "ingestTimestamp" : "2026-06-14T21:28:47.227", "mongoId" : "69ce5e3b9bc74574cb677ab0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Excel knowledge", "Product Data Management", "Release Management", "Change Management", "Engineering Change Management", "Variants Control", "BOM management", "MB Norms", "DBL standards", "Unigraphics NX", "Teamcenter", "Excel" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1371.6809, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a191e7758b93c861e39f836", "title" : "Freigabe (Release) Management", "industry" : "Manufacturing", "salary" : { "min" : 1150000.0, "max" : 1850000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Release Management role in Pune, India, adjusted for the manufacturing industry and full-time employment." }, "location" : "India-Maharashtra-Pune", "locations" : [ "India-Maharashtra-Pune", "5th & 6th Floor, Wing B, Building Congo, Block 1.3, , Pune" ], "timestamp" : "2026-06-16T00:23:34.207", "fingerprint" : "50564f4fc17239a320f4f0fda7eab465f7d3da2f98fcf4b4dfe3409d3144d1bc", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883947", "externalId" : "883947", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 8, "experienceLevel" : "Mid", "technicalSkills" : "Unigraphics NX, Teamcenter", "professionalSkills" : [ "Product Data Management", "Engineering Change Management", "Variants Control", "BOM management" ], "majorSkills" : "Product Data Management, Release Management, Change Management", "majorSkillsList" : [ "Product Data Management", "Release Management", "Change Management" ], "coreResponsibilities" : "Perform Product Data Management tasks, Perform related tasks based on customer requirement", "teamCollaboration" : "Work with the team; Interact with German teams", "domainKnowledge" : "Product Data Management; Release Activity; Change Management; Variants Control; BOM management; MB Norms; DBL standards; DIALOG; SMARAGD", "domainList" : [ "product-data-management", "release-activity", "change-management", "variants-control", "bom-management", "mb-norms", "dbl-standards", "dialog", "smaragd" ], "domainSpecificKnowledge" : [ "Product Data Management", "Release Activity", "Change Management", "Variants Control", "BOM management", "MB Norms", "DBL standards", "DIALOG", "SMARAGD" ], "toolProficiency" : [ "Microsoft office", "Excel", "PowerPoint", "Unigraphics NX", "Teamcenter" ], "qualificationsBasic" : "2-8 years of experience in Product Data Management, Worked with Global Companies, Minimum one year working exposure with Europe/ European clients, Must be able to interact with the German teams, Microsoft office skills, Good Excel knowledge, Power point presentation", "qualificationsPreferred" : "German OEMs/Tier 1s preferred, German Language will be an added advantage, Experience in MB Norms, Experience in DBL standards, Experience in DIALOG, Experience in SMARAGD", "remoteFriendly" : false, "rawDescription" : "Job Description for Product Data Management Activity for Interior & Exterior components Education & Training: B.E (Mechanical / Production), Relevant Experience Required: About 2-8 years of experience in Product Data Management (Release and Engineering Change Management). Must have had worked with Global Companies (German OEMs/Tier 1s preferred) Skill Requirements: Knowhow of Product Data Management (Release) Activity, Knowledge of Change Management, Variants Control & BOM management Experience in MB Norms and DBL standards, DIALOG and SMARAGD will be an advantage. Intercultural Experience: Minimum one year working exposure with Europe/ European clients. Must be able to interact with the German teams. German Language will be an added advantage. Must be a Team Player; should have the attitude to work with the team & also shoulder individual responsibility wherever needed Microsoft office skills with good Excel knowledge, power point presentation Know how CAD Software Unigraphics NX and Teamcenter Job Responsibilities: Perform Product Data Management & related tasks based on customer requirement. BE - Mechanical Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Freigabe (Release) Management. Skills: Product Data Management, Release Management, Change Management. Perform Product Data Management tasks. Perform related tasks based on customer requirement", "createdAt" : "2026-06-14T19:19:42.444", "lastUpdated" : "2026-06-16T00:23:34.207", "ingestTimestamp" : "2026-06-14T19:19:42.444", "mongoId" : "6a191e7758b93c861e39f836", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product Data Management", "Release Management", "Change Management", "Engineering Change Management", "Variants Control", "BOM management", "Release Activity", "MB Norms", "DBL standards", "DIALOG", "SMARAGD", "Microsoft office", "Excel", "PowerPoint", "Unigraphics NX", "Teamcenter" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1353.2656, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306028f292fd229cf86b56", "title" : "Release Manager II - VALORANT", "company" : "Riot Games", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Release Manager II in Los Angeles, United States, adjusted for the technology industry and company size." }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "timestamp" : "2026-06-16T07:10:30.982", "fingerprint" : "82f1ef97b17e3e6d09f574e77dc670f54f6982b63bd68dfefcc4d16cb0ad2e25", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.riotgames.com/en/work-with-us/job/7981549?gh_jid=7981549", "externalId" : "7981549", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CI/CD, Jenkins, Perforce, Git, Datadog, JIRA, Scripting, Automation", "professionalSkills" : [ "Release Management", "Live Operations", "DevOps", "Process management", "Continuous improvement" ], "hardSkillsList" : [ "Release pipeline maintenance", "Risk identification", "Issue resolution", "Delivery pipeline improvement", "Workflow automation" ], "hardSkills" : [ { "name" : "Release pipeline maintenance", "level" : "intermediate" }, { "name" : "Risk identification", "level" : "intermediate" }, { "name" : "Issue resolution", "level" : "intermediate" }, { "name" : "Delivery pipeline improvement", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "majorSkills" : "Release Management, Live Service Health, Delivery Pipeline", "majorSkillsList" : [ "Release Management", "Live Service Health", "Delivery Pipeline" ], "coreResponsibilities" : "Operate release process, Improve release process, Operate deployment process, Improve deployment process, Maintain release pipeline readiness, Identify release pipeline risks, Drive release pipeline issues to resolution, Coordinate across development teams, Coordinate across operations teams, Coordinate across product teams, Facilitate decisions impacting live service health, Review release practices, Strengthen release practices, Identify release pipeline gaps, Contribute to delivery pipeline improvements, Implement solutions, Engage with technical systems, Engage with tooling, Investigate technical issues, Leverage automation, Partner with engineers to improve reliability, Partner with engineers to improve efficiency, Support consistent release practices, Reinforce consistent release practices", "teamCollaboration" : "Collaboration with Release Managers; Coordination across teams; Partnering with engineers", "projectManagementSkills" : [ "Delivering on scoped projects" ], "domainKnowledge" : "Live service operations; PC software environments; Live service environments; Game development pipeline", "domainList" : [ "live-service-operations", "pc-software-environments", "live-service-environments", "game-development-pipeline" ], "domainSpecificKnowledge" : [ "Live service operations", "PC software environments", "Live service environments", "Game development pipeline" ], "toolProficiency" : [ "Jenkins", "Perforce", "Git", "Datadog", "JIRA" ], "communicationSkills" : "Craft clear messages; Tailor messaging", "problemSolvingSkills" : "Troubleshoot issues; Drive issues to resolution; Identify gaps; Investigating issues", "qualificationsBasic" : "3 years of experience in Release Management, Experience with CI/CD pipelines, Experience with Jenkins, Experience with Perforce, Experience with Git, Experience with Datadog, Experience with JIRA, Ability to troubleshoot issues, Ability to collaborate effectively with engineers, Comfort working with technical systems, Using scripting, Using automation, Using AI-assisted tools, Written communication skills, Verbal communication skills, Ability to tailor messaging, Drive issues to resolution, Coordinating work across multiple teams, Delivering on scoped projects", "qualificationsPreferred" : "4+ years of experience in Release Management, Release management experience in cross-platform, Release management experience in cross-play, Release management experience in cross-progression features", "rawDescription" : "As a Release Manager II on VALORANT, you'll be joining the team responsible for updating and deploying our game to our players everywhere. You will be involved with improving our product delivery pipeline with a continuous delivery mindset, using both process and technology at your disposal. You understand what fuels games as a live service and have a passion to improve the experience for internal developers getting content out the door, and most importantly, for our players. You are a communication authority able to craft efficient and clear messages to any size group or situation. You will wrangle processes and organize teams to keep the momentum building and foster teamwork and continuous improvement across the organization. Responsibilities: Operate and improve the release and deployment process in collaboration with other Release Managers, ensuring a high-quality global player experience Own specific areas of the release pipeline, maintaining readiness, identifying risks, and driving issues to resolution Coordinate across development, operations, and product teams, facilitating decisions that impact live service health Partner with product teams to review and strengthen release practices, identifying risks early and driving mitigations before they impact players Identify gaps in the delivery pipeline and contribute to improvements, working with other Release Managers and partner teams to implement solutions Engage with technical systems and tooling, investigating issues, leveraging automation, and partnering with engineers to improve reliability and efficiency Support and reinforce consistent release practices across teams, contributing to a culture of accountability and continuous improvement Required Qualifications: A minimum of 3 years of experience in Release Management or related roles (e. g. Technical QA, Live Operations, DevOps) within PC software or live service environments, demonstrating ownership of release or live service operations Experience working with CI/CD pipelines and development tools (e. g. Jenkins, Perforce, Git, Datadog, JIRA), with the ability to troubleshoot issues and collaborate effectively with engineers Comfort working with technical systems, including using scripting, automation, or AI-assisted tools to improve workflows Strong written and verbal communication skills, with the ability to tailor messaging to different audiences Proven ability to drive issues to resolution in a live service or operational environment Experience coordinating work across multiple teams and delivering on scoped projects Desired Qualifications: 4+ years of experience in Release Management or related roles (e. g. Technical QA, Live Operations, DevOps) within PC software or live service environments Release management experience in cross-platform, cross-play, or cross-progression features For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.", "summaryDescription" : "Release Manager II - VALORANT at Riot Games. Skills: Release Management, Live Service Health, Delivery Pipeline. Operate release process. Improve release process", "postedDate" : "2026-06-15T23:27:05.796", "createdAt" : "2026-06-15T23:27:05.796", "lastUpdated" : "2026-06-16T07:10:30.982", "ingestTimestamp" : "2026-06-15T23:27:05.796", "mongoId" : "6a306028f292fd229cf86b56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Release pipeline maintenance", "Risk identification", "Issue resolution", "Delivery pipeline improvement", "Workflow automation", "Release Management", "Live Service Health", "Delivery Pipeline", "Live Operations", "DevOps", "Process management", "Continuous improvement", "Delivering on scoped projects", "Live service operations", "PC software environments", "Live service environments", "Game development pipeline", "Jenkins", "Perforce", "Git", "Datadog", "JIRA" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1336.8408, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f7b7", "title" : "SUMS- Freigabe (Release) Management", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Release Management role in the Automotive industry in Bangalore, India, adjusted for entry-level experience and full-time employment." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore" ], "certifications" : [ "SUMS certification" ], "timestamp" : "2026-06-15T23:12:29.041", "fingerprint" : "07f3972afc0a9db8aa69253436d61f72b0069d0b87a0496345bc92f9118e347e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=892371", "externalId" : "892371", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 3, "experienceLevel" : "Entry", "technicalSkills" : "IBM Rhapsody, UnigraphicsNX", "professionalSkills" : [ "Product data management", "BOM management", "Documentation", "Risk management", "Issue management" ], "hardSkillsList" : [ "Effect Chain mapping", "Software Update Management", "Doorman process", "SUMS certification", "ZKU validation", "WESP validation", "Regulatory standards", "Country specific regulations", "KEM documentation", "Engineering BOM", "Structure level", "Product development process", "Automotive systems", "Automotive components", "Product documentation", "Parts release", "MS Excel", "PowerPoint presentation" ], "hardSkills" : [ { "name" : "Effect Chain mapping", "level" : "intermediate" }, { "name" : "Software Update Management", "level" : "intermediate" }, { "name" : "Doorman process", "level" : "intermediate" }, { "name" : "SUMS certification", "level" : "intermediate" }, { "name" : "ZKU validation", "level" : "intermediate" }, { "name" : "WESP validation", "level" : "intermediate" }, { "name" : "Regulatory standards", "level" : "intermediate" }, { "name" : "Country specific regulations", "level" : "intermediate" }, { "name" : "KEM documentation", "level" : "intermediate" }, { "name" : "Engineering BOM", "level" : "intermediate" }, { "name" : "Structure level", "level" : "intermediate" }, { "name" : "Product development process", "level" : "intermediate" }, { "name" : "Automotive systems", "level" : "intermediate" }, { "name" : "Automotive components", "level" : "intermediate" }, { "name" : "Product documentation", "level" : "intermediate" }, { "name" : "Parts release", "level" : "intermediate" }, { "name" : "MS Excel", "level" : "intermediate" }, { "name" : "PowerPoint presentation", "level" : "intermediate" } ], "majorSkills" : "Release Management, Product Data Management, Effect Chain Mapping, BOM Management", "majorSkillsList" : [ "Release Management", "Product Data Management", "Effect Chain Mapping", "BOM Management" ], "coreResponsibilities" : "Handle IBM Rhapsody, Conduct training session, Map ECU, Validate software part numbers, Ensure certificates meet SUMS-related regulatory standards, Support country specific audits, Demonstrate Effect Chain Mapping, Perform Product Data Management/Release tasks, Create BOM, Maintain product documentation, Consult with design engineers, Understand intent of engineering change notice, Perform standard part creation, Coordinate with process and method team, Maintain quality standards, Share knowledge across team members, Manage risks, Manage issues impacting project deliverables, Integrate with Team in India & Germany", "teamCollaboration" : "Interact with German teams; Work with German teams; Work independently; Team playing skills; Cross functional responsibility; Coordinate with process and method team; Shared knowledge; Integration with Team in India & Germany", "projectManagementSkills" : [ "Risk management", "Issue management" ], "domainKnowledge" : "Automotive components; Automotive systems; German OEMs; Tier 1 suppliers; Mercedes Benz cars portfolio; SUMS regulations; Effect chain mapping; Product data management; Engineering BOM; Structure level; PLM tool; Parts release lifecycle; Product development process; Functional relationships; Country specific audits; ZKU; WESP; SUMS certification; KEM documentation", "domainList" : [ "automotive-components", "automotive-systems", "german-oems", "tier-1-suppliers", "mercedes-benz-cars-portfolio", "sums-regulations", "effect-chain-mapping", "product-data-management", "engineering-bom", "structure-level", "plm-tool", "parts-release-lifecycle", "product-development-process", "functional-relationships", "country-specific-audits", "zku", "wesp", "sums-certification", "kem-documentation" ], "domainSpecificKnowledge" : [ "Automotive components", "Automotive systems", "German OEMs", "Tier 1 suppliers", "Mercedes Benz cars portfolio", "SUMS regulations", "Effect chain mapping", "Product data management", "Engineering BOM", "Structure level", "PLM tool", "Parts release lifecycle", "Product development process", "Functional relationships", "Country specific audits", "ZKU", "WESP", "SUMS certification", "KEM documentation" ], "toolProficiency" : [ "IBM Rhapsody", "UnigraphicsNX", "MS Excel", "PowerPoint" ], "communicationSkills" : "Presentation skills; Communication skills; Coordination skills; Analytical skills; Assertive skills", "documentationSkills" : "Product documentation; Documentation activity; Engineering BOM; Structure level; KEM documentation", "problemSolvingSkills" : "Analytical skills; Assertive skills", "outcomesObjectives" : "Achieve SUMS certification; Zero nonconformity’s (NCs)", "qualificationsBasic" : "0 to 3 years of experience in product data management, Experience in product documentation, Expertise in engineering BOM, Knowledge on any PLM tool, Basic life cycle of parts release, In depth understanding of automotive systems, Good understanding of product development process, Good knowledge on any PLM tool, Basic life cycle", "qualificationsPreferred" : "Worked with German OEMs/Tier 1s, German communication is desirable, Knowledge of Mercedes Benz cars portfolio", "remoteFriendly" : false, "rawDescription" : "\" System Engineering (Effect Chain Mapping) - Deep understanding to handle IBM Rhapsody and similar tools for Effect Chain mapping. Excellent understanding of Software Update Management process & Doorman process Ability to conduct training session for larger audience Clarity to map ECU, components, software and are mapped according to regulations to achieve SUMS certification Good understanding of all ECU’s which is regulation relevant. Detailed awareness of all regulations and implications on overall product quality ZKU (Zertifikatskonformität Überprüfung)- Validate software part numbers for all carlines in WESP & Ensure certificates meet SUMS-related regulatory standards. All Mercedes Vanlines and related SUMS dependency awareness Awareness of different country specific SUMS regulations and effect chain mapping. Support country specific audits (eg: China audit) by demonstrating Effect Chain Mapping, resulting in zero nonconformity’s (NCs). Clear awareness of KEM documentation Excellent communication and presentation skills Documentation: Short Description : New addition for Documentation activity About 0 to 3 years of experience in product data management for Automotive components. Must have worked with Global Companies (German OEMs/Tier 1s preferred).Expertise in engineering BOM and structure level. Knowledge on any PLM tool and basic life cycle Detailed JD : Education: B.E (Mechanical / Production/Automotive) Relevant Experience Required: About 0 to 3 years of experience in product data management for Automotive components. Must have worked with Global Companies (German OEMs/Tier 1s preferred) Requirements: Technical competence: • Experience in the field of product documentation in OEM’s / Tier 1 suppliers • Expertise in engineering BOM and structure level • Should have good knowledge on any PLM tool and basic life cycle of parts release. • In depth understanding of automotive systems i.e., functional relationships of automotive systems and components • Good understanding of product development process (planning, development, production, pre and after sales etc…) • Knowledge of “Mercedes Benz” cars portfolio will be an added advantage Professional skills: • Ability to interact and work with the German teams • German communication is desirable • Good team playing skills and ability to work independently with little supervision • Knowledge of “Mercedes Benz” cars portfolio will be an added advantage • Excellent in communication and coordination • Demonstrate excellent analytical and assertive skills • Good in MS Excel and power point presentation skills Job Responsibilities: • Perform Product Data Management/Release tasks based on customer requirement • Creating BOM and maintaining product documentation for all Mercedes-Benz - car lines by understanding business requirements and interacting with German counter parts • Consultation with design engineers and understand the intent of engineering change notice. Perform standard part creation using UnigraphicsNX • Cross functional responsibility to coordinate with process and method team and maintain quality standards as required • Ensure knowledge is shared across the team members • To manage risks and issues impacting project deliverables • Seamless integration with the Team in India & Germany Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "SUMS- Freigabe (Release) Management. Skills: Release Management, Product Data Management, Effect Chain Mapping, BOM Management. Handle IBM Rhapsody. Conduct training session", "createdAt" : "2026-06-14T21:57:50.895", "lastUpdated" : "2026-06-15T23:12:29.041", "ingestTimestamp" : "2026-06-14T21:57:50.895", "mongoId" : "6a191e7758b93c861e39f7b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Effect Chain mapping", "Software Update Management", "Doorman process", "SUMS certification", "ZKU validation", "WESP validation", "Regulatory standards", "Country specific regulations", "KEM documentation", "Engineering BOM", "Structure level", "Product development process", "Automotive systems", "Automotive components", "Product documentation", "Parts release", "MS Excel", "PowerPoint presentation", "Release Management", "Product Data Management", "Effect Chain Mapping", "BOM Management", "Product data management", "BOM management", "Documentation", "Risk management", "Issue management", "German OEMs", "Tier 1 suppliers", "Mercedes Benz cars portfolio", "SUMS regulations", "Effect chain mapping", "PLM tool", "Parts release lifecycle", "Functional relationships", "Country specific audits", "ZKU", "WESP", "IBM Rhapsody", "UnigraphicsNX", "PowerPoint" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 1296.8632, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16840c58b93c861eae6eff", "title" : "Junior Release Manager", "company" : "DECA Games", "industry" : "Technology", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Release Manager in Bangalore, India, adjusted for the gaming industry and entry-level experience." }, "location" : "Worldwide, worldwide", "locations" : [ "Worldwide", "worldwide" ], "timestamp" : "2026-06-16T04:59:16.471", "fingerprint" : "b28516ab4c479dda79c9de1a2ebe06016d6eb498cdcd3d449c43e19002dc1643", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://deca-games.breezy.hr/p/7d3aa57d29f801-junior-release-manager", "externalId" : "7d3aa57d29f801", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnātaka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "workMode" : "remote" } ], "locationText" : "Bangalore, Karnātaka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "rawDescription" : "About DECA Games At DECA, we believe great games should last for decades, with player experience at the heart of everything we do. From the beginning, our mission has been to build vibrant, long-lasting online communities—and we know that starts with creating the right environment for ambitious, c", "summaryDescription" : "Junior Release Manager at DECA Games", "createdAt" : "2026-06-14T21:47:24.934", "lastUpdated" : "2026-06-16T04:59:16.471", "ingestTimestamp" : "2026-06-14T21:47:24.934", "mongoId" : "6a16840c58b93c861eae6eff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 1292.5216, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.85 }, { "id" : "6a305ed6f292fd229cf74cc0", "title" : "Analytics Engineer (m/f/d)", "company" : "Statista", "industry" : "Data", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Analytics Engineer in Germany, adjusted for mid-seniority, technology industry, and Hamburg location." }, "location" : "Hamburg or Berlin", "locations" : [ "Hamburg or Berlin" ], "timestamp" : "2026-06-16T10:04:06.650", "fingerprint" : "6baa565c4cbc0e446456a9ebeb3d8c319e869f8b58c426dd08801dd6bdc4e531", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/statista/27f98734-2ba5-439a-a5c0-df5060013761/application", "externalId" : "27f98734-2ba5-439a-a5c0-df5060013761", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.5501721,10.0013165" }, { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Hamburg, Germany; Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Dbt, Snowflake, BigQuery, Redshift, CI/CD", "professionalSkills" : [ "Data modeling", "Business requirements", "Data governance", "Data architecture", "Problem-solving" ], "hardSkillsList" : [ "Dimensional modeling", "Star schemas" ], "hardSkills" : [ { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "Star schemas", "level" : "intermediate" } ], "majorSkills" : "Data modeling, Data transformation, Data quality", "majorSkillsList" : [ "Data modeling", "Data transformation", "Data quality" ], "coreResponsibilities" : "Design scalable data models, Build scalable data models, Optimize scalable data models, Transform raw data, Create clean datasets, Create reliable datasets, Create documented datasets, Define data requirements, Ensure stakeholder alignment, Implement data quality checks, Maintain data quality checks, Implement data testing, Maintain data testing, Implement data monitoring, Maintain data monitoring, Develop semantic layers, Manage semantic layers, Standardize business metrics, Govern business metrics, Improve data accessibility, Improve data usability, Promote best practices, Promote clear data structures, Document data models, Document data definitions, Document data workflows, Contribute to data governance, Contribute to data harmonization, Contribute to data automation, Enable AI-driven analytics", "teamCollaboration" : "Data engineers; Analysts; Tracking teams; Business stakeholders", "domainKnowledge" : "Business data platform; Data literacy; Scalable data architecture", "domainList" : [ "business-data-platform", "data-literacy", "scalable-data-architecture" ], "domainSpecificKnowledge" : [ "Business data platform", "Data literacy", "Scalable data architecture" ], "toolProficiency" : [ "Dbt", "Snowflake", "BigQuery", "Redshift", "CI/CD" ], "communicationSkills" : "English communication", "documentationSkills" : "Document data models; Document definitions; Document workflows", "continuousLearning" : "Career opportunities; Training opportunities", "problemSolvingSkills" : "Analytical mindset; Problem-solving skills", "qualificationsBasic" : "3+ years analytics engineering experience, SQL skills, Data modeling experience, Modern data stack experience, Cloud data warehouse experience", "qualificationsPreferred" : "German language skills a plus, AI-assisted development workflows experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? Your role - Design, build, and optimize scalable data models using modern data stack tools (e.g., dbt, Snowflake) - Transform raw data into clean, reliable, and well-documented datasets for analytics, reporting, and operational use - Collaborate closely with data engineers, analysts, tracking teams, and business stakeholders to define data requirements and ensure alignment - Implement and maintain data quality checks, testing, and monitoring to ensure accuracy and reliability - Develop and manage semantic layers to standardize and govern key business metrics - Improve data accessibility and usability across teams by promoting best practices and clear data structures - Document data models, definitions, and workflows to enhance transparency and data literacy - Contribute to data governance, harmonization, and automation initiatives, including enabling AI-driven analytics use cases Your profile - 3+ years of experience in analytics engineering, data engineering, or a related role - Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas) - Hands-on experience with modern data stack tools and technologies (e.g., dbt, CI/CD) and openness to AI-assisted development workflows (e.g., Claude Code or similar) - Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) - Strong attention to detail with a quality-focused and structured working style - Interest in data governance, standards, and scalable data architecture - Analytical mindset with strong problem-solving skills - Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: - Work from abroad up to 30 calendar days a year - Hybrid work and flex-time - International team and social events - Subsidized urban mobility and access to fitness and wellness options - Free access to Langdock and all its amazing functionalities - Career & training opportunities - Attractive locations and modern offices - Mental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.", "summaryDescription" : "Analytics Engineer (m/f/d) at Statista. Skills: Data modeling, Data transformation, Data quality. Design scalable data models. Build scalable data models", "createdAt" : "2026-06-16T00:25:17.100", "lastUpdated" : "2026-06-16T10:04:06.650", "ingestTimestamp" : "2026-06-16T00:25:17.100", "mongoId" : "6a305ed6f292fd229cf74cc0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Dimensional modeling", "Star schemas", "Data modeling", "Data transformation", "Data quality", "Business requirements", "Data governance", "Data architecture", "Problem-solving", "Business data platform", "Data literacy", "Scalable data architecture", "Dbt", "Snowflake", "BigQuery", "Redshift", "CI/CD" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1268.1138, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a8a7b74d8ee00a06820c8", "title" : "Agile - Release Train Engineer (RTE) (Experienced and Senior)", "company" : "The Boeing Company", "salary" : { "min" : 118150.0, "max" : 159850.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Berkeley, MO", "locations" : [ "USA - Berkeley, MO", "United States of America" ], "certifications" : [ "SAFe Program Consultant (SPC)", "SAFe Release Train Engineer Certification (RTE)", "SAFe Scrum Master (SSM)", "Project Management Institute- Agile Certified Practitioner (PMI-ACP)" ], "timestamp" : "2026-06-12T21:20:57.775", "fingerprint" : "e9bec702b25f0b1cfd229760de9b70528ecde77c183e53abbcd3486734e3a2c3", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---Berkeley-MO/Agile---Release-Train-Engineer--RTE---Experienced-and-Senior-_JR2026513776-1", "externalId" : "JR2026513776", "locationPoint" : "-34.48333,150.85", "structuredLocations" : [ { "city" : "Berkeley", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7544952,-90.3312256" } ], "locationText" : "Berkeley, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Jira, Confluence", "professionalSkills" : [ "Lean-Agile practices", "Agile execution", "Roadmap development", "Dependency mapping", "Cross-functional collaboration", "Strategy alignment", "Risk management", "Dependency management", "Process improvement" ], "hardSkillsList" : [ "Agile delivery", "Agile metrics", "Lean practices", "Agile practices" ], "softSkillsList" : [ "Servant leader", "Coach" ], "hardSkills" : [ { "name" : "Agile delivery", "level" : "intermediate" }, { "name" : "Agile metrics", "level" : "intermediate" }, { "name" : "Lean practices", "level" : "intermediate" }, { "name" : "Agile practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Servant leader" }, { "name" : "Coach" } ], "majorSkills" : "Release Train Engineer, Agile methodologies, Lean-Agile practices", "majorSkillsList" : [ "Release Train Engineer", "Agile methodologies", "Lean-Agile practices" ], "coreResponsibilities" : "Coach leaders and teams in Lean-Agile practices, Drive relentless improvement, Assess agility level of organization, Foster preparation of Vision, Foster preparation of Objectives, Foster preparation of Program Backlogs, Ensure backlogs are managed, Track execution of features, Track execution of capabilities, Facilitate roadmap development, Support inter-team dependency mapping, Support intra-team dependency mapping, Prepare for quarterly planning, Facilitate quarterly planning, Execute the plan, Encourage cross-functional collaboration, Work with Product Management, Work with Product Owners, Work with Scrum Masters, Help ensure strategy alignment, Help ensure execution alignment, Help manage risks, Help manage dependencies, Escalate impediments, Track impediments, Ensure standards are established, Ensure standards are followed, Monitor metrics, Improve metrics, Track flow of value, Improve flow of value", "teamCollaboration" : "Cross-functional collaboration; Inter-team dependency mapping; Intra-team dependency mapping", "projectManagementSkills" : [ "Agile", "SAFe", "Scrum Master", "Roadmap planning", "Quarterly planning" ], "domainKnowledge" : "Mission systems software; Scaled Agile Framework; Lean principles; Agile methodologies", "domainList" : [ "mission-systems-software", "scaled-agile-framework", "lean-principles", "agile-methodologies" ], "domainSpecificKnowledge" : [ "Mission systems software", "Scaled Agile Framework", "Lean principles", "Agile methodologies" ], "toolProficiency" : [ "Jira", "Confluence" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Critical thinking", "specialRequirements" : "Ability to obtain U. S. Secret Security Clearance, U. S. Citizenship required, Interim U. S. Secret Clearance Post-Start required, Final U. S. Secret Clearance Post-Start required", "qualificationsBasic" : "Bachelor's Degree, Ability to obtain U. S. Secret Security Clearance, 2+ years of experience with Scaled Agile Framework, 2+ years of experience with Agile methodologies, 2+ years of experience with Agile delivery, 2+ years of experience with metrics, 1+ years of experience in a leadership role, U. S. Citizenship required", "qualificationsPreferred" : "Agile/SAFe training and/or certification, SAFe Program Consultant (SPC), SAFe Release Train Engineer Certification (RTE), SAFe Scrum Master (SSM), Project Management Institute- Agile Certified Practitioner (PMI-ACP), Critical thinking skills, Excellent written and verbal communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Agile - Release Train Engineer (RTE) (Experienced and Senior) **Company:** The Boeing Company The Boeing Company is currently seeking a highly motivated **Agile -** **Release Train Engineer (RTE) (Experienced and Senior)** to become part of a large Air Dominance Division Mission Systems Software team using Agile in **Berkeley, MO**. This position will lead and/or support an agile organization to implement new software capabilities within the platform as defined by a capability roadmap. The organization is responsible for the full lifecycle of software development including requirements, design, implementation, and testing for mission systems. The agile leader will be a servant leader and coach who oversees and optimizes the flow of value on the program using various tools including Jira and Confluence. The responsibilities of this position include: facilitating workshops as needed, escalate impediments, manage risk, help ensure value delivery, and drive relentless improvement. This leader will also coach leaders and teams in new processes and mindsets and will help sustain and relentlessly improve the Agile execution on the program. The candidate must have a solid grasp of how to scale Lean and Agile practices, and understand the unique opportunities and challenges associated with facilitating and continuously aligning a large organization with multiple stakeholders. Our team is currently hiring for a broad range of experience levels including: Experienced and Senior Engineers. **Position Responsibilities:** * Coaches’ leaders and teams in Lean-Agile practices and mindsets * Drives relentless improvement and assess the agility level of the organization and help them improve * Fosters preparation of Vision, Objectives and Program Backlogs * Ensures backlogs are managed in accordance with defined standards * Tracks the execution of features and capabilities * Facilitates roadmap development * Supports inter- and intra-team dependency mapping * Prepares for and facilitates quarterly planning and execution of the plan * Encourages cross-functional collaboration across the organization * Works with Product Management, Product Owners, Scrum Masters and other stakeholders to help ensure strategy and execution alignment * Help manage risks and dependencies * Escalate and track impediments * Ensure standards are established and followed * Monitor and improve metrics to track and improve the flow of value **Basic Qualifications (Required Skills/ Experience):** * Bachelor’s Degree * Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) * 2+ years of experience with Scaled Agile Framework or Agile Methodologies * 2+ years of experience with Agile delivery and metrics * 1+ years of experience in a leadership role **Preferred Qualifications (Desired Skills/Experience):** * **Level 3 /** Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work * experience **OR** Bachelor’s Degree and 9+ years of directly related work experience **OR** 13+ years of related, relevant experience * **Level 4 /** Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience **OR** Bachelor’s Degree and 13+ years of directly related work experience **OR** 17+ years of related, relevant experience * Agile/SAFe training and/or certification, for example: * SAFe Program Consultant (SPC) * SAFe Release Train Engineer Certification (RTE) * SAFe Scrum Master (SSM) * Project Management Institute- Agile Certified Practitioner (PMI-ACP) * Familiarity with Jira and Confluence * Critical thinking skills * Excellent written and verbal communication skills **Conflict of Interest:** Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **CodeVue Coding Challenge:** To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. **Total Rewards & Pay Transparency: ** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced Level (Level 3): $118,150 - $159,850.00. Summary Pay Range for Senior Level (Level 4): $147,900 - $200,100.00. **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** This position offers relocation based on candidate eligibility. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Agile - Release Train Engineer (RTE) (Experienced and Senior) at The Boeing Company. Skills: Release Train Engineer, Agile methodologies, Lean-Agile practices. Coach leaders and teams in Lean-Agile practices. Drive relentless improvement", "postedDate" : "2026-06-10T16:52:27.050", "createdAt" : "2026-06-11T16:52:26.989", "lastUpdated" : "2026-06-12T21:20:57.775", "ingestTimestamp" : "2026-06-11T16:52:26.989", "mongoId" : "6a2a8a7b74d8ee00a06820c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---Berkeley-MO/Agile---Release-Train-Engineer--RTE---Experienced-and-Senior-_JR2026513776-1", "salaryAnnualMin" : 118150, "salaryAnnualMax" : 159850, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Agile delivery", "Agile metrics", "Lean practices", "Agile practices", "Servant leader", "Coach", "Release Train Engineer", "Agile methodologies", "Lean-Agile practices", "Agile execution", "Roadmap development", "Dependency mapping", "Cross-functional collaboration", "Strategy alignment", "Risk management", "Dependency management", "Process improvement", "Agile", "SAFe", "Scrum Master", "Roadmap planning", "Quarterly planning", "Mission systems software", "Scaled Agile Framework", "Lean principles", "SAFe Program Consultant (SPC)", "SAFe Release Train Engineer Certification (RTE)", "SAFe Scrum Master (SSM)", "Project Management Institute- Agile Certified Practitioner (PMI-ACP)", "Jira", "Confluence" ], "skillCount" : 31, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 1266.5768, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69ce5e3b9bc74574cb677aeb", "title" : "Freigabe (Release) Management", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Freigabe (Release) Management role in Pune, India, adjusted for the automotive industry and company size." }, "location" : "India-Maharashtra-Pune", "locations" : [ "India-Maharashtra-Pune", "5th & 6th Floor, Wing B, Building Congo, Block 1.3, , Pune" ], "timestamp" : "2026-06-15T09:36:44.717", "fingerprint" : "8bfc254fa45bb7862fcd123d9e5f9940405ed14a0c99cb9b88d8c1024389ec52", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881152", "externalId" : "881152", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 8, "experienceLevel" : "Mid", "technicalSkills" : "Unigraphics NX, Teamcenter, Microsoft Office, Excel, PowerPoint", "professionalSkills" : [ "Product Data Management", "Release Management", "Engineering Change Management", "Variants Control", "BOM Management" ], "hardSkillsList" : [ "Data management", "Change evaluation", "Change implementation", "Change tracking", "Data integrity", "Configuration consistency" ], "softSkillsList" : [ "Communication skills", "Team-oriented mindset" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Change evaluation", "level" : "intermediate" }, { "name" : "Change implementation", "level" : "intermediate" }, { "name" : "Change tracking", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Configuration consistency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" }, { "name" : "Team-oriented mindset" } ], "majorSkills" : "Release Management, Change Management, BOM Management, Product Data Management", "majorSkillsList" : [ "Release Management", "Change Management", "BOM Management", "Product Data Management" ], "coreResponsibilities" : "Perform PDM activities, Manage releases, Execute Change Management processes, Evaluate changes, Implement changes, Track changes, Manage variants control, Manage Bill of Materials, Ensure adherence to MB Norms, Ensure adherence to DBL standards, Ensure adherence to Daimler systems, Collaborate with global stakeholders, Support PDM activities, Ensure data integrity, Ensure configuration consistency", "teamCollaboration" : "Global stakeholders; German teams; European teams; Cross-cultural teams; Global teams", "domainKnowledge" : "Automotive components; Interior components; Exterior components; MB Norms; DBL standards", "domainList" : [ "automotive-components", "interior-components", "exterior-components", "mb-norms", "dbl-standards" ], "domainSpecificKnowledge" : [ "Automotive components", "Interior components", "Exterior components", "MB Norms", "DBL standards" ], "toolProficiency" : [ "Unigraphics NX", "Teamcenter", "Microsoft Office", "Excel", "PowerPoint" ], "communicationSkills" : "Communication skills", "qualificationsBasic" : "2–8 years relevant experience, Product Data Management experience, Release Management experience, Engineering Change Management experience, Change Management knowledge, Variants Control knowledge, BOM Management knowledge, Hands-on Unigraphics NX, Hands-on Teamcenter, Microsoft Office proficiency, Excel proficiency, PowerPoint proficiency", "qualificationsPreferred" : "MB Norms familiarity, DBL standards familiarity, Daimler systems familiarity, DIALOG experience, SMARAGD experience, Prior experience with global automotive OEMs, Prior experience with Tier 1 suppliers, German OEMs experience preferred, German Tier 1s experience preferred, One year working exposure with European clients, One year working exposure with European projects, Interact effectively with German stakeholders, German language skills", "remoteFriendly" : false, "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: • Perform Product Data Management (PDM) activities including release management in line with customer and project requirements • Execute Engineering Change Management processes, including change evaluation, implementation, and tracking • Manage variants control and Bill of Materials (BOM) with high accuracy and compliance to standards • Ensure adherence to MB Norms, DBL standards, and applicable Daimler systems • Collaborate closely with global stakeholders, especially German and European teams, for seamless data management and releases • Support PDM-related activities for Interior & Exterior automotive components • Utilize PLM and CAD tools to ensure data integrity and configuration consistency Required Skills and Experience: • 2–8 years of relevant experience in Product Data Management (Release and Engineering Change Management) • Strong knowledge of Change Management, Variants Control, and BOM Management • Hands-on experience with Unigraphics NX and Teamcenter • Familiarity with MB Norms, DBL standards; experience with DIALOG and SMARAGD is an advantage • Proficiency in Microsoft Office tools, especially Excel and PowerPoint • Strong communication skills with the ability to work in cross-cultural and global teams • Team-oriented mindset with the ability to take individual ownership when required Educational Qualifications: • Bachelor’s degree in Mechanical Engineering or Production Engineering Preferred Qualifications (Good to Have): • Prior experience working with global automotive OEMs or Tier 1 suppliers (German OEMs/Tier 1s preferred) • Minimum one year of working exposure with European clients or projects • Ability to interact effectively with German stakeholders; German language skills are an added advantage • Experience in Interior and Exterior automotive component development environments Why Join Us? • Be part of a purpose-driven organization shaping the future of mobility • Work on global automotive projects with leading-edge technologies • Collaborate with diverse, international teams across geographies • Access world-class infrastructure, learning platforms, and career growth opportunities Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Freigabe (Release) Management at MBRDI. Skills: Release Management, Change Management, BOM Management, Product Data Management. Perform PDM activities. Manage releases", "createdAt" : "2026-06-14T02:50:09.973", "lastUpdated" : "2026-06-15T09:36:44.717", "ingestTimestamp" : "2026-06-14T02:50:09.973", "mongoId" : "69ce5e3b9bc74574cb677aeb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data management", "Change evaluation", "Change implementation", "Change tracking", "Data integrity", "Configuration consistency", "Communication skills", "Team-oriented mindset", "Release Management", "Change Management", "BOM Management", "Product Data Management", "Engineering Change Management", "Variants Control", "Automotive components", "Interior components", "Exterior components", "MB Norms", "DBL standards", "Unigraphics NX", "Teamcenter", "Microsoft Office", "Excel", "PowerPoint" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1254.4613, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c612974d8ee00a08f405b", "title" : "Freight Release Coordinator", "industry" : "Logistics", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Freight Release Coordinator in Cerritos, United States, adjusted for the logistics industry." }, "location" : "Cerritos, CA", "locations" : [ "Cerritos, CA" ], "timestamp" : "2026-06-15T22:25:00.995", "fingerprint" : "9dc4047693f63f85d3c55e6dcaef4c61c639c06f51a4ee6c18b8b0699ddae650", "source" : "jazzhr", "language" : "en", "externalId" : "G0txFSLRhk", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cerritos", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8644291,-118.0539323" } ], "locationText" : "Cerritos, California, United States", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "majorSkills" : "Process management, Cross-functional coordination, Vendor management, Stakeholder management", "majorSkillsList" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management" ], "coreResponsibilities" : "Manage freight release processes, Coordinate with internal departments, Liaise with external vendors, Track operational metrics, Plan and allocate resources, Identify areas for improvement", "teamCollaboration" : "Cross-functional teams; External vendors; Internal departments", "domainKnowledge" : "Freight release; Logistics operations", "domainList" : [ "freight-release", "logistics-operations" ], "domainSpecificKnowledge" : [ "Freight release", "Logistics operations" ], "qualificationsBasic" : "5+ years experience", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Freight Release Coordinator. Skills: Process management, Cross-functional coordination, Vendor management, Stakeholder management. Manage freight release processes. Coordinate with internal departments", "createdAt" : "2026-06-14T18:44:49.745", "lastUpdated" : "2026-06-15T22:25:00.995", "ingestTimestamp" : "2026-06-14T18:44:49.745", "mongoId" : "6a2c612974d8ee00a08f405b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Freight release", "Logistics operations" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "_score" : 1204.3248, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.9 }, { "id" : "69f30e3e4c40e2acd18dfc4e", "title" : "Configuration Release Management", "company" : "VetsEZ", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Configuration Release Management roles in Atlanta, adjusted for mid-seniority and the government industry." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta", "GA" ], "timestamp" : "2026-06-15T08:18:47.711", "fingerprint" : "c6a884df8b2f1eb618f210f149b2ce1baf63c1d784989d0816581868cf4ed052", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://vetsez.breezy.hr/p/54f90653d68b01-configuration-release-management-remote-opportunity", "externalId" : "54f90653d68b01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "DevSecOps", "majorSkills" : "Release Management, Configuration Management", "majorSkillsList" : [ "Release Management", "Configuration Management" ], "coreResponsibilities" : "Deploy to PreProd, Deploy to Production, Provide first line support", "domainKnowledge" : "Department of Veteran Affairs", "domainList" : [ "department-of-veteran-affairs" ], "domainSpecificKnowledge" : [ "Department of Veteran Affairs" ], "toolProficiency" : [ "Jenkins" ], "qualificationsBasic" : "DevSecOps Engineer experience, Configuration Release Management SME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "VetsEZ is seeking a DevSecOps Engineer, Configuration and Release Management SME to work as part of a team on our HDM Program supporting the Department of Veteran Affairs. The successful candidate will utilize Jenkins to deploy to PreProd and Production environments, provide first line support to d", "summaryDescription" : "Configuration Release Management at VetsEZ. Skills: Release Management, Configuration Management. Deploy to PreProd. Deploy to Production", "createdAt" : "2026-06-13T23:26:46.218", "lastUpdated" : "2026-06-15T08:18:47.711", "ingestTimestamp" : "2026-06-13T23:26:46.218", "mongoId" : "69f30e3e4c40e2acd18dfc4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Release Management", "Configuration Management", "Department of Veteran Affairs", "Jenkins" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1187.3043, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2abe2274d8ee00a06ecb6d", "title" : "Agile - Release Train Engineer (RTE) (Experienced and Senior)", "company" : "The Boeing Company", "salary" : { "min" : 118150.0, "max" : 159850.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Berkeley, MO", "locations" : [ "USA - Berkeley, MO", "United States of America" ], "certifications" : [ "SAFe Program Consultant (SPC)", "SAFe Release Train Engineer Certification (RTE)", "SAFe Scrum Master (SSM)", "Project Management Institute- Agile Certified Practitioner (PMI-ACP)" ], "timestamp" : "2026-06-14T02:56:21.903", "fingerprint" : "3fb87b1957cbd3dbae2837272e03586cdfc532450e1161142081c6ded3e723d5", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Berkeley-MO/Agile---Release-Train-Engineer--RTE---Experienced-and-Senior-_JR2026513776", "externalId" : "JR2026513776", "locationPoint" : "-34.48333,150.85", "structuredLocations" : [ { "city" : "Berkeley", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7544952,-90.3312256" } ], "locationText" : "Berkeley, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Jira, Confluence", "professionalSkills" : [ "Lean-Agile practices", "Agile execution", "Roadmap development", "Dependency mapping", "Cross-functional collaboration", "Strategy alignment", "Risk management", "Dependency management", "Metrics monitoring" ], "hardSkillsList" : [ "Agile methodologies", "Agile delivery", "Metrics analysis", "Lean practices" ], "softSkillsList" : [ "Leadership", "Servant leader", "Coach" ], "hardSkills" : [ { "name" : "Agile methodologies", "level" : "intermediate" }, { "name" : "Agile delivery", "level" : "intermediate" }, { "name" : "Metrics analysis", "level" : "intermediate" }, { "name" : "Lean practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Servant leader" }, { "name" : "Coach" } ], "majorSkills" : "Release Train Engineer, Agile coaching, Agile execution", "majorSkillsList" : [ "Release Train Engineer", "Agile coaching", "Agile execution" ], "coreResponsibilities" : "Coach leaders and teams in Lean-Agile practices, Coach leaders and teams in mindsets, Drive relentless improvement, Assess agility level of organization, Help organization improve, Foster preparation of Vision, Foster preparation of Objectives, Foster preparation of Program Backlogs, Ensure backlogs are managed, Track execution of features, Track execution of capabilities, Facilitate roadmap development, Support inter-team dependency mapping, Support intra-team dependency mapping, Prepare for quarterly planning, Facilitate quarterly planning, Execute the plan, Encourage cross-functional collaboration, Work with Product Management, Work with Product Owners, Work with Scrum Masters, Work with other stakeholders, Ensure strategy alignment, Ensure execution alignment, Help manage risks, Help manage dependencies, Escalate impediments, Track impediments, Ensure standards are established, Ensure standards are followed, Monitor metrics, Improve metrics, Track flow of value, Improve flow of value, Facilitate workshops, Escalate impediments, Manage risk, Ensure value delivery, Drive relentless improvement, Coach leaders in new processes, Coach leaders in new mindsets, Sustain Agile execution, Improve Agile execution", "teamCollaboration" : "Cross-functional collaboration; Inter-team dependency mapping; Intra-team dependency mapping; Stakeholder alignment", "projectManagementSkills" : [ "Agile", "SAFe", "Roadmap planning", "Program Backlogs" ], "domainKnowledge" : "Mission Systems Software; Air Dominance Division; Lean practices; Agile practices; Scaled Agile Framework", "domainList" : [ "mission-systems-software", "air-dominance-division", "lean-practices", "agile-practices", "scaled-agile-framework" ], "domainSpecificKnowledge" : [ "Mission Systems Software", "Air Dominance Division", "Lean practices", "Agile practices", "Scaled Agile Framework" ], "toolProficiency" : [ "Jira", "Confluence" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Critical thinking", "specialRequirements" : "Ability to obtain U. S. Secret Security Clearance, U. S. Citizenship required, Interim U. S. Secret Clearance Post-Start required, Final U. S. Secret Clearance Post-Start required", "outcomesObjectives" : "Ensure value delivery; Relentless improvement; Improve flow of value", "qualificationsBasic" : "Bachelor's Degree, Ability to obtain U. S. Secret Security Clearance, 2+ years of experience with Scaled Agile Framework, 2+ years of experience with Agile methodologies, 2+ years of experience with Agile delivery, 2+ years of experience with metrics, 1+ years of experience in a leadership role, U. S. Citizenship required", "qualificationsPreferred" : "Agile/SAFe training and/or certification, SAFe Program Consultant (SPC), SAFe Release Train Engineer Certification (RTE), SAFe Scrum Master (SSM), Project Management Institute- Agile Certified Practitioner (PMI-ACP), Critical thinking skills, Excellent written and verbal communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Agile - Release Train Engineer (RTE) (Experienced and Senior) **Company:** The Boeing Company The Boeing Company is currently seeking a highly motivated **Agile -** **Release Train Engineer (RTE) (Experienced and Senior)** to become part of a large Air Dominance Division Mission Systems Software team using Agile in **Berkeley, MO**. This position will lead and/or support an agile organization to implement new software capabilities within the platform as defined by a capability roadmap. The organization is responsible for the full lifecycle of software development including requirements, design, implementation, and testing for mission systems. The agile leader will be a servant leader and coach who oversees and optimizes the flow of value on the program using various tools including Jira and Confluence. The responsibilities of this position include: facilitating workshops as needed, escalate impediments, manage risk, help ensure value delivery, and drive relentless improvement. This leader will also coach leaders and teams in new processes and mindsets and will help sustain and relentlessly improve the Agile execution on the program. The candidate must have a solid grasp of how to scale Lean and Agile practices, and understand the unique opportunities and challenges associated with facilitating and continuously aligning a large organization with multiple stakeholders. Our team is currently hiring for a broad range of experience levels including: Experienced and Senior Engineers. **Position Responsibilities:** * Coaches’ leaders and teams in Lean-Agile practices and mindsets * Drives relentless improvement and assess the agility level of the organization and help them improve * Fosters preparation of Vision, Objectives and Program Backlogs * Ensures backlogs are managed in accordance with defined standards * Tracks the execution of features and capabilities * Facilitates roadmap development * Supports inter- and intra-team dependency mapping * Prepares for and facilitates quarterly planning and execution of the plan * Encourages cross-functional collaboration across the organization * Works with Product Management, Product Owners, Scrum Masters and other stakeholders to help ensure strategy and execution alignment * Help manage risks and dependencies * Escalate and track impediments * Ensure standards are established and followed * Monitor and improve metrics to track and improve the flow of value **Basic Qualifications (Required Skills/ Experience):** * Bachelor’s Degree * Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) * 2+ years of experience with Scaled Agile Framework or Agile Methodologies * 2+ years of experience with Agile delivery and metrics * 1+ years of experience in a leadership role **Preferred Qualifications (Desired Skills/Experience):** * **Level 3 /** Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work * experience **OR** Bachelor’s Degree and 9+ years of directly related work experience **OR** 13+ years of related, relevant experience * **Level 4 /** Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience **OR** Bachelor’s Degree and 13+ years of directly related work experience **OR** 17+ years of related, relevant experience * Agile/SAFe training and/or certification, for example: * SAFe Program Consultant (SPC) * SAFe Release Train Engineer Certification (RTE) * SAFe Scrum Master (SSM) * Project Management Institute- Agile Certified Practitioner (PMI-ACP) * Familiarity with Jira and Confluence * Critical thinking skills * Excellent written and verbal communication skills **Conflict of Interest:** Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **CodeVue Coding Challenge:** To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. **Total Rewards & Pay Transparency: ** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced Level (Level 3): $118,150 - $159,850.00. Summary Pay Range for Senior Level (Level 4): $147,900 - $200,100.00. **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** This position offers relocation based on candidate eligibility. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Agile - Release Train Engineer (RTE) (Experienced and Senior) at The Boeing Company. Skills: Release Train Engineer, Agile coaching, Agile execution. Coach leaders and teams in Lean-Agile practices. Coach leaders and teams in mindsets", "postedDate" : "2026-06-10T01:06:38.527", "createdAt" : "2026-06-12T01:06:38.470", "lastUpdated" : "2026-06-14T02:56:21.903", "ingestTimestamp" : "2026-06-12T01:06:38.470", "mongoId" : "6a2abe2274d8ee00a06ecb6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Berkeley-MO/Agile---Release-Train-Engineer--RTE---Experienced-and-Senior-_JR2026513776", "salaryAnnualMin" : 118150, "salaryAnnualMax" : 159850, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Agile methodologies", "Agile delivery", "Metrics analysis", "Lean practices", "Leadership", "Servant leader", "Coach", "Release Train Engineer", "Agile coaching", "Agile execution", "Lean-Agile practices", "Roadmap development", "Dependency mapping", "Cross-functional collaboration", "Strategy alignment", "Risk management", "Dependency management", "Metrics monitoring", "Agile", "SAFe", "Roadmap planning", "Program Backlogs", "Mission Systems Software", "Air Dominance Division", "Agile practices", "Scaled Agile Framework", "SAFe Program Consultant (SPC)", "SAFe Release Train Engineer Certification (RTE)", "SAFe Scrum Master (SSM)", "Project Management Institute- Agile Certified Practitioner (PMI-ACP)", "Jira", "Confluence" ], "skillCount" : 32, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 1164.284, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e44c40e2acd1b9992a", "title" : "Sr. Product Release Manager, Global Product Release Management", "company" : "Amazon Advertising LLC", "industry" : "Project/Program/Product Management--Non-Tech, Customer Solutions Management, Advertising", "salary" : { "min" : 152000.0, "max" : 205800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:41:33.562", "fingerprint" : "c98701bbcfd9bd509359784b6e043896788be4ea66c416afa2af22b04909bbaf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412994/apply", "externalId" : "db307ce8-c080-44d0-900e-440af26861e1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Release planning", "Launch risk mitigation", "Operational simplification", "Prioritization", "Self-service execution", "Scalable processes", "Product architecture", "Business priorities", "Technical requirements", "Cross-functional communication", "Stakeholder alignment", "Product development strategy", "Business decisions", "Investment decisions", "Product automation", "Customer experience", "Partner buy-in", "Release readiness", "Project plans", "Dependency logs", "Release calendars", "Status updates", "Post-mortems", "Automate activities", "Global standardization", "Testing rigor", "Process bottlenecks", "Productivity gains", "Operational processes", "Product requirements", "User workflow", "Advertiser experiences", "Ad product", "Product services", "Issue resolution", "End-to-end user experience", "Advertiser experience", "Ad campaign management", "Product knowledge", "Ad product portfolio", "End-to-end systems", "Back-end data flows", "User experience" ], "hardSkillsList" : [ "Data analysis", "Performance evaluation", "Strategic decision making", "Operational simplification", "Process automation", "Product architecture understanding", "Business priority rationalization", "Technical requirement rationalization", "Cross-functional communication management", "Stakeholder needs alignment", "Customer experience improvement", "Roadmap development", "Project plan development", "Risk log development", "Dependency log development", "Release calendar development", "Status update creation", "Post-mortem analysis", "Process simplification", "Activity automation", "Global standardization promotion", "Testing rigor improvement", "Process bottleneck removal", "Productivity gain driving", "Operational process expertise", "Product architecture expertise", "User workflow expertise", "Service expertise", "Advertiser experience scaling", "Product simplification", "Tool simplification", "Issue resolution driving", "Business understanding", "Product growth understanding", "Business opportunity assessment", "Execution risk assessment", "Campaign management" ], "softSkillsList" : [ "Influence", "Motivate", "Creative solutions", "Navigate ambiguity", "Define path forward", "High standards" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" }, { "name" : "Strategic decision making", "level" : "intermediate" }, { "name" : "Operational simplification", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Product architecture understanding", "level" : "intermediate" }, { "name" : "Business priority rationalization", "level" : "intermediate" }, { "name" : "Technical requirement rationalization", "level" : "intermediate" }, { "name" : "Cross-functional communication management", "level" : "intermediate" }, { "name" : "Stakeholder needs alignment", "level" : "intermediate" }, { "name" : "Customer experience improvement", "level" : "intermediate" }, { "name" : "Roadmap development", "level" : "intermediate" }, { "name" : "Project plan development", "level" : "intermediate" }, { "name" : "Risk log development", "level" : "intermediate" }, { "name" : "Dependency log development", "level" : "intermediate" }, { "name" : "Release calendar development", "level" : "intermediate" }, { "name" : "Status update creation", "level" : "intermediate" }, { "name" : "Post-mortem analysis", "level" : "intermediate" }, { "name" : "Process simplification", "level" : "intermediate" }, { "name" : "Activity automation", "level" : "intermediate" }, { "name" : "Global standardization promotion", "level" : "intermediate" }, { "name" : "Testing rigor improvement", "level" : "intermediate" }, { "name" : "Process bottleneck removal", "level" : "intermediate" }, { "name" : "Productivity gain driving", "level" : "intermediate" }, { "name" : "Operational process expertise", "level" : "intermediate" }, { "name" : "Product architecture expertise", "level" : "intermediate" }, { "name" : "User workflow expertise", "level" : "intermediate" }, { "name" : "Service expertise", "level" : "intermediate" }, { "name" : "Advertiser experience scaling", "level" : "intermediate" }, { "name" : "Product simplification", "level" : "intermediate" }, { "name" : "Tool simplification", "level" : "intermediate" }, { "name" : "Issue resolution driving", "level" : "intermediate" }, { "name" : "Business understanding", "level" : "intermediate" }, { "name" : "Product growth understanding", "level" : "intermediate" }, { "name" : "Business opportunity assessment", "level" : "intermediate" }, { "name" : "Execution risk assessment", "level" : "intermediate" }, { "name" : "Campaign management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Influence" }, { "name" : "Motivate" }, { "name" : "Creative solutions" }, { "name" : "Navigate ambiguity" }, { "name" : "Define path forward" }, { "name" : "High standards" } ], "majorSkills" : "Release management, Product management, Global stakeholder management, Process design", "majorSkillsList" : [ "Release management", "Product management", "Global stakeholder management", "Process design" ], "coreResponsibilities" : "Lead release management globally, Equip internal service teams, Support advertisers with products, Mitigate launch risk, Protect advertiser experience, Protect customer experience, Deliver operational simplification, Prioritize features, Enable self-service execution, Build scalable processes, Build scalable mechanisms, Launch ad products, Maintain ad products, Find creative solutions, Drive cross-team initiatives, Identify scaled opportunities, Help partners implement readiness solutions, Expedite market launches, Improve product performance, Track program health, Track program success, Evaluate performance, Derive insights, Influence strategic decisions, Influence product development strategy, Launch advertising solutions, Enable business decisions, Enable investment decisions, Provide data, Provide insights, Identify opportunities, Automate products, Improve customer experience, Gain partner buy-in, Implement mechanisms, Raise release readiness bar, Develop roadmaps, Develop project plans, Develop risks logs, Develop dependency logs, Develop release planning calendars, Develop status updates, Develop post-mortems, Build simplified processes, Automate repeatable activities, Promote global standardization, Improve testing rigor, Remove internal process bottlenecks, Drive productivity gains, Leverage expertise, Influence prioritization, Enable ad products innovation, Simplify products, Improve products, Accelerate progress, Provide design guidance, Provide operational guidance, Mitigate launch impacts, Enable common business understanding, Manage user acceptance testing, Drive ongoing issue resolution, Create ad campaigns, Manage ad campaigns", "teamCollaboration" : "Global stakeholders; Upstream stakeholders; Downstream stakeholders; Cross-functional teams; Service organizations; Product organizations", "projectManagementSkills" : [ "Program management", "Release management", "Project planning", "Roadmap development", "Risk management", "Dependency management", "Schedule management", "Deadline management", "Trade-off management" ], "domainKnowledge" : "Digital advertising; Ad serving; Amazon DSP; eCommerce advertising; Global release management", "domainList" : [ "digital-advertising", "ad-serving", "amazon-dsp", "ecommerce-advertising", "global-release-management" ], "domainSpecificKnowledge" : [ "Digital advertising", "Ad serving", "Amazon DSP", "eCommerce advertising", "Global release management" ], "communicationSkills" : "Verbal communication; Written communication; Influence; Earn trust", "documentationSkills" : "Roadmaps; Project plans; Risk logs; Dependency logs; Release calendars; Status updates; Post-mortems", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Analytical skills; Problem solving; Root cause analysis; Troubleshooting; Identify opportunities; Assess performance drivers", "outcomesObjectives" : "Expedite market launches; Improve product performance; Launch successful ad products; Maintain successful ad products; Raise release readiness bar; Improve customer experience; Drive productivity gains", "qualificationsBasic" : "Program management skills, Analytical skills, Deal with ambiguity, Influence global stakeholders, Communicate with global stakeholders, Think and move quickly, Manage difficult tradeoffs, Meet deadlines, Strategy experience, Change management experience, Release management experience, Roll-out large scale initiatives experience, Execute strategic initiatives, Execute operational initiatives, Plan projects, Schedule projects, Implement projects, Work with team members, Design scalable processes, Implement strategic projects, Solve business problems, Focus on continuous improvement, Lead cross functional groups, Work with cross functional groups, Verbal communication skills, Written communication skills, Earn trust at all levels, Analyze data, Assess performance drivers", "qualificationsPreferred" : "Digital advertising experience, Ad serving experience, Amazon DSP working knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. Amazon Ads is looking for a Senior Product Release Manager, Global Release Management to lead release management globally for advertising products, tools and services that impact all Amazon advertisers and customers. As our ad products evolve, the Release Management team's core function is to ensure all internal services teams are systematically equipped to support advertisers be successful with our products. Beyond release planning and launch risk mitigation to protect the advertiser and customer experience, Release Management focuses on delivering operational simplification of products through upstream prioritization of features that enable effective, self-service execution for users. Release Managers build scalable processes and mechanisms with up and downstream stakeholders in order to launch, and maintain successful ad products. The candidate will have high standards for themselves and everyone they work with, and will be constantly looking around corners to prevent short-sighted decisions. This role requires a strong ability to find creative solutions to challenging problems, excellent communication skills, ability to easily navigate ambiguity and define a path forward. You must know how to influence and motivate to get the right things done. Key job responsibilities While Product Managers drive product vision and technical requirements; Release Managers provide data-driven cross-product business understanding of releases impact and success. They drive shared goals and gain investments prioritization alignment. Lastly, Release Managers are excellent at driving results, able to coordinate large, multi-functional projects on-time, anticipate bottlenecks, provide escalation management, make trade-offs, and balance business needs versus technical constraints. They are involved in reviewing product workflow design and balance near term business need with longer term implications for Amazon. They rationalize business priorities and technical requirements with cross-functional teams, effectively managing cross-functional communication to ensure all business and technical stakeholder’s needs are aligned. This is a multi-faceted role requiring a breadth of skills and expertise: - Engage with global stakeholders to understand priorities, and drive cross-team initiatives - Identify scaled opportunities to help partners implement readiness solutions that expedite market launches and improve product performance - Track program(s) health and success by evaluating performance and deriving insights via structured analyses in order to influence strategic decisions A day in the life Sr. Product Release Managers lead product releases that are large in scope and impact to customers and to the advertising business. They are expected to influence product development strategy to launch the right advertising solutions for advertisers. They enable optimal business and investments decisions for upstream and downstream executing teams through providing data and insights that help identify opportunities for product automation and improved CX. Beyond RM responsibilities, they autonomously gain partner buy-in and implement mechanisms that raise the release readiness bar for all advertising Products and tools globally. They independently develop roadmaps, project plans, risks and dependency logs, releases planning calendars, status updates, and post-mortems. They build simplified processes that automate repeatable activities, promote global standardization, improve testing rigor, remove internal process bottlenecks, and drive productivity gains. They leverage their expertise of operational processes and their deep understanding of product architecture to influence prioritization of product requirements. About the team Senior Product Release Managers leverage user workflow and services expertise to enable ad products innovation into Advertiser experiences that scale. Release Management works at the intersection of ad product and services to simplify and improve products and tools, accelerating progress toward issue-free self-service solutions. RM owns critical business functions within CCS; 1) providing design and operational product requirement guidance for product prioritization, 2) mitigating launch impacts across services teams, 3) enabling a common business understanding of product growth and business opportunity vs. execution and CX risks, 4) managing user acceptance testing (UAT), and lastly, 5) driving ongoing open product issue resolution. The RM team acts as the guardrail for the end-to-end user and advertiser experience successfully creating and managing ad campaigns. As the strategic bi-directional voice between Product and Service organizations, RMs have a broad scope of product knowledge, from a deep understanding of their ad product portfolio to end-to-end systems, back-end data flows, and user experience. RMs influence at all levels without authority by acting as the voice of the product customer (internal and advertiser) and shopper customer. Basic Qualifications: - Strong program management and analytical skills, be comfortable dealing with ambiguity, and have the ability to effectively influence and communicate with global stakeholders - Proven ability to think and move quickly and manage difficult tradeoffs to meet deadlines - Experience in strategy, change management, release management and rolling-out large scale initiatives - Experience executing both strategic and operational initiatives - Experience planning, scheduling, implementing projects in a demanding, change-oriented, fast-paced environment requiring a high degree of deadline-driven productivity - Proven ability to work with team members to design scalable processes, implement strategic projects that solve business problems, with focus on continuous improvement - Ability to lead and work effectively with cross functional groups - Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels, including senior leadership - Experience analyzing data and best practices to assess performance drivers Preferred Qualifications: - Experience with digital advertising and ad serving - Working knowledge of Amazon DSP Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 152,100.00 - 205,800.00 USD annually", "summaryDescription" : "Sr. Product Release Manager, Global Product Release Management at Amazon Advertising LLC. Skills: Release management, Product management, Global stakeholder management, Process design. Lead release management globally. Equip internal service teams", "postedDate" : "2026-06-13T10:07:37.923", "createdAt" : "2026-06-13T10:07:37.923", "lastUpdated" : "2026-06-15T04:41:33.562", "ingestTimestamp" : "2026-06-13T10:07:37.923", "mongoId" : "69fda4e44c40e2acd1b9992a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412994/apply", "salaryAnnualMin" : 152000, "salaryAnnualMax" : 205800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Performance evaluation", "Strategic decision making", "Operational simplification", "Process automation", "Product architecture understanding", "Business priority rationalization", "Technical requirement rationalization", "Cross-functional communication management", "Stakeholder needs alignment", "Customer experience improvement", "Roadmap development", "Project plan development", "Risk log development", "Dependency log development", "Release calendar development", "Status update creation", "Post-mortem analysis", "Process simplification", "Activity automation", "Global standardization promotion", "Testing rigor improvement", "Process bottleneck removal", "Productivity gain driving", "Operational process expertise", "Product architecture expertise", "User workflow expertise", "Service expertise", "Advertiser experience scaling", "Product simplification", "Tool simplification", "Issue resolution driving", "Business understanding", "Product growth understanding", "Business opportunity assessment", "Execution risk assessment", "Campaign management", "Influence", "Motivate", "Creative solutions", "Navigate ambiguity", "Define path forward", "High standards", "Release management", "Product management", "Global stakeholder management", "Process design", "Product strategy", "User stories", "Cross-functional collaboration", "Release planning", "Launch risk mitigation", "Prioritization", "Self-service execution", "Scalable processes", "Product architecture", "Business priorities", "Technical requirements", "Cross-functional communication", "Stakeholder alignment", "Product development strategy", "Business decisions", "Investment decisions", "Product automation", "Customer experience", "Partner buy-in", "Release readiness", "Project plans", "Dependency logs", "Release calendars", "Status updates", "Post-mortems", "Automate activities", "Global standardization", "Testing rigor", "Process bottlenecks", "Productivity gains", "Operational processes", "Product requirements", "User workflow", "Advertiser experiences", "Ad product", "Product services", "Issue resolution", "End-to-end user experience", "Advertiser experience", "Ad campaign management", "Product knowledge", "Ad product portfolio", "End-to-end systems", "Back-end data flows", "User experience", "Program management", "Project planning", "Risk management", "Dependency management", "Schedule management", "Deadline management", "Trade-off management", "Digital advertising", "Ad serving", "Amazon DSP", "eCommerce advertising", "Global release management" ], "skillCount" : 104, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 1133.1589, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "eCommerce" }, { "id" : "69fc49a74c40e2acd1a833fa", "title" : "Sr. Release Engineer & Administration Manager (Salesforce)", "company" : "Hyundai Capital America", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Release Engineer & Administration Manager in Plano, United States, adjusted for manager seniority, FinTech industry, and company size." }, "location" : "United States-Texas-Plano", "locations" : [ "United States-Texas-Plano", "
Dallas, TX (HCA_DallasTX)
6100 W. Plano Parkway, Suite 2000
Suite 2000
Plano, 75093

" ], "timestamp" : "2026-06-16T01:11:19.574", "fingerprint" : "d09e153fef35d70fef1ccc159e84d04ff5822674f0b5c4aafd21a05f675d29a7", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=115944", "externalId" : "115944", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Plano", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.0136764,-96.6925096" } ], "locationText" : "Plano, Texas, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Sr. Release Engineer & Administration Manager (Salesforce) is responsible for owning the end-to-end Salesforce release lifecycle and core platform administration. This role serves as a technical expert and execution leader, ensuring reliable deployments, platform stability, and strong governance across a complex Salesforce ecosystem. What You Will Do 1. DevOps & Release Management · Manage DevOps across multiple Salesforce orgs including: o Pipelines, environments, and promotion paths o User stories, commits, and deployment artifacts o Automated validations, test level enforcement, and rollback strategies · Define and enforce branching and deployment strategies aligned with DevOps best practices. · Manage release cycles, including planned releases, hotfixes, emergency fixes, and freeze windows. · Ensure all deployments meet quality gates (test coverage, static code analysis, approvals. · Troubleshoot Copado deployment failures, conflicts, and metadata issues. · Partner with Copado support and Salesforce teams for upgrades, enhancements, and best practices. · Act as a senior technical advisor to Product, Development, QA, and Business teams on release feasibility and platform constraints. · Participate in design and planning discussions to influence solutions that align with release strategy and platform best practices. 2. Salesforce Administration & Configuration Governance · Lead Salesforce administrative operations, including: o User provisioning, roles, profiles, permission sets o Security controls, MFA, login IP relaxations o Audit logging, monitoring, and compliance support · Perform advanced Salesforce administration across applicable clouds (e.g., Sales Cloud, Service Cloud, Experience Cloud, Industry Clouds). · Design and maintain scalable configurations including objects, fields, automation, validation rules, flows, and security controls. · Coordinate Salesforce seasonal releases and mandatory platform updates. · Ensure compliance with enterprise security, audit, and data protection requirements. · Own operational runbooks and incident response for Salesforce production issues. · Support audits and internal controls by ensuring changes align with governance, security, and compliance requirements. 3. Environment Strategy & Platform Stability · Own Salesforce environment strategy (Dev, SIT, UAT, Pre‑Prod, Prod). · Govern sandbox creation, refresh schedules, and data seeding strategies. · Manage forward and backward promotions using Copado while keeping multi orgs in sync. · Oversee production deployment users, access provisioning, and segregation of duties. · Ensure platform changes are deployed with minimal disruption and clear communication to stakeholders. 4. Continuous Improvement & DevOps Optimization · Identify opportunities to improve release efficiency, automation, and reliability. · Evaluate and recommend Salesforce DevOps tools, processes, and best practices. · Establish and track operational metrics such as deployment success, defect escapes, and rollback · frequency. · Stay current on Salesforce seasonal releases, DevOps advancements, and platform changes. What You Will Bring · Minimum 8 years progressive IT experience with 5+ years’ experience with the Salesforce platform and supporting enterprise-scale Salesforce implementations with multiple stakeholders. · Experience with Copado DevOps tool in an enterprise environment. · Bachelor’s degree in Information Systems, Computer Science, Engineering or related discipline. · Salesforce + Copado certification is a plus · Proven experience managing Salesforce releases using Copado DevOps tool across multiple teams and orgs. · Strong knowledge of: o Salesforce metadata and deployment dependencies o Copado pipelines, user stories, and quality gates o CI/CD concepts and release governance · Strong ability to analyze system requirements and design effective data solutions. · Strong troubleshooting skills with the ability to resolve complex release issues. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent communication skills, with the ability to influence without authority. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment. · Must have the ability to challenge, when appropriate, existing practices. · Strong background in Agile delivery and enterprise governance. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-Texas-Plano", "summaryDescription" : "Sr. Release Engineer & Administration Manager (Salesforce) at Hyundai Capital America", "createdAt" : "2026-06-14T20:48:07.285", "lastUpdated" : "2026-06-16T01:11:19.574", "ingestTimestamp" : "2026-06-14T20:48:07.285", "mongoId" : "69fc49a74c40e2acd1a833fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 1121.9237, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677ab4", "title" : "Software Integration and Release Management", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Technology", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Software Integration and Release Management role in Shanghai, China, adjusted for the technology industry and company size." }, "location" : "China (Mainland)-Shanghai-Shanghai", "locations" : [ "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-15T14:08:43.524", "fingerprint" : "57fb4ffd6b8f7f34d5d74018d5e24574dc57036cc244dd19400a64365197cd11", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882631", "externalId" : "882631", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2312707,121.4700152" } ], "locationText" : "Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "QNX, QNX hypervisor, Android, AUTOSAR, Java, Shell, Gradle, Jenkins", "professionalSkills" : [ "Process management", "Quality management", "Project management" ], "hardSkillsList" : [ "Software integration", "Release management", "Version release", "Smoke testing", "CICD integration", "CICD release" ], "hardSkills" : [ { "name" : "Software integration", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Version release", "level" : "intermediate" }, { "name" : "Smoke testing", "level" : "intermediate" }, { "name" : "CICD integration", "level" : "intermediate" }, { "name" : "CICD release", "level" : "intermediate" } ], "majorSkills" : "Software integration, Release management, QNX integration, Android integration", "majorSkillsList" : [ "Software integration", "Release management", "QNX integration", "Android integration" ], "coreResponsibilities" : "Compile platform software, Integrate platform software, Release platform software, Ensure release quality, Manage version release, Integrate QNX, Integrate QNX hypervisor, Integrate Android layers, Integrate Android modules, Integrate AUTOSAR, Integrate software modules, Deploy software modules, Perform smoke testing, Promote software integration, Solve integration issues, Manage integration tools, Manage release tools, Manage integration scripts, Manage release scripts, Compile software integration process, Participate CICD construction, Participate CICD integration, Participate CICD release", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Process management", "Quality management", "Project management" ], "domainKnowledge" : "Intelligent cockpit platform; ADAS platform; In-vehicle infotainment software; Android/Adas system; Vehicle development process", "domainList" : [ "intelligent-cockpit-platform", "adas-platform", "in-vehicle-infotainment-software", "android-adas-system", "vehicle-development-process" ], "domainSpecificKnowledge" : [ "Intelligent cockpit platform", "ADAS platform", "In-vehicle infotainment software", "Android/Adas system", "Vehicle development process" ], "toolProficiency" : [ "Gradle", "Jenkins" ], "communicationSkills" : "English skill", "problemSolvingSkills" : "Troubleshooting integration issues", "outcomesObjectives" : "Ensure release quality", "qualificationsBasic" : "Bachelor's in computer science, 3 years working experience, In-vehicle infotainment software development, Managing series production software integration, Managing series production software publication, Good Java programming skills, Good Shell programming skills, Good knowledge Android/Adas system, Good knowledge development toolchain, Good knowledge methodology, Good knowledge publication process, Proficient process management theories, Proficient quality management theories, Proficient project management theories, Formulate software product development process, Implement software product development process, Excellent English skill, CET-6 is mandatory", "qualificationsPreferred" : "Good experiences mobile development, Good experiences internet development, Good experiences Android/Adas development, Good experiences Android/Adas integration, Familiar vehicle development process, Germany language preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Task description § Responsible for the compilation and integration of the intelligent cockpit/ adas platform software and version release, ensure the release quality, and do a good job in version management; § Mainly responsible for the integration of QNX, QNX hypervisor, Android layers/modules as well as applications; autosar integration. § Responsible for the integration and deployment of software modules in the hardware environment and smoke testing, and promote and solve related problems; § Responsible for software integration and release related tools/script development; § Responsible for compiling the process of software integration and release; § Participate in the construction of CICD (Continuous Integration Continuous Delivery) integration and release related links. Qualification Education · Bachelor in computer science, robotics, electrical engineering or a related field Experience · At least 3 years working experience in the In-vehicle infotainment software development, and managing series production software integration and publication, prefer to have good experiences in mobile, internet, Android/Adas development/integration. · Good experience in in-vehicle infotainment software development and Android/Adas developing, integration, packaging and publishing. · Good Java and Shell programming skills. · Good knowledge and understanding of Android/Adas system, development toolchain, methodology and publication process. · Have good knowledge and understanding of gradle and Jenkins. · Proficient in the basic theories, methods and tools of process management, quality management and project management, be able to independently formulate and implement the software product development process, and be familiar with the vehicle development process is preferred. · Excellent English skill, CET-6 is mandatory, Germany is preferred. Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "Software Integration and Release Management at Mercedes-Benz Digital Tech Ltd.. Skills: Software integration, Release management, QNX integration, Android integration. Compile platform software. Integrate platform software", "createdAt" : "2026-06-14T08:22:25.571", "lastUpdated" : "2026-06-15T14:08:43.524", "ingestTimestamp" : "2026-06-14T08:22:25.571", "mongoId" : "69ce5e3b9bc74574cb677ab4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software integration", "Release management", "Version release", "Smoke testing", "CICD integration", "CICD release", "QNX integration", "Android integration", "Process management", "Quality management", "Project management", "Intelligent cockpit platform", "ADAS platform", "In-vehicle infotainment software", "Android/Adas system", "Vehicle development process", "Gradle", "Jenkins" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1087.9032, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6e74d8ee00a0978f1b", "title" : "Staff Data Scientist, Core Data & Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 152000.0, "max" : 203000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-16T02:10:23.328", "fingerprint" : "c0ce89dfe8c11add95be3aaf7ed48e2be53322e2dc9cdcd23296ccd830799e17", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/ff0706a6-c1c4-4b90-a910-62dbe342536e/application", "externalId" : "ff0706a6-c1c4-4b90-a910-62dbe342536e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. This role will be primarily focused on building data assets and analytics solutions for the revenue organization. As a Staff Data Scientist, you’ll have the unique, challenging, and rewarding opportunity to be responsible for using the latest developments in statistics and machine learning. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build accurate and reliable Machine Learning models for use throughout the organization. You’ll be able to create and own greenfield opportunities to make big positive impacts on the revenue organization. You’ll have the chance to own the data science technology of one or more critical initiatives core business domains, from collaborating with stakeholders, through the full model development lifecycle. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you’re not in the Denver metro area or the listed states, relocation reimbursement to Denver is available. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Provide subject matter expertise and ownership of one or more foundational models involving measurement, forecasting, or optimization of our content - Establish and lead best practices, setting the example for the team - Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling - Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior - Provide customized views of large and complex datasets to support data analysis and business decision-making - Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities - Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance - Harden data pipelines and models for production deployment and monitoring of performance over time as required - Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta’s suite of data to answer domain specific business questions through advanced analytic techniques - Provide mentoring and education to this team and other teams across the company - Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: - 7+ years of experience making significant positive impacts in a professional data science or machine learning role - Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required - A history of and passion for driving important decisions using data and data storytelling - A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus - Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms - Expert-level Python knowledge, skills, and abilities. Spark/PySpark and MLOps experience is a strong plus - Excellent statistical analysis skills, with a solid understanding of experimental design About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $152,000 - $203,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Remote #BI-Remote #BI-Hybrid", "summaryDescription" : "Staff Data Scientist, Core Data & Analytics at Ibotta", "createdAt" : "2026-06-14T20:14:25.387", "lastUpdated" : "2026-06-16T02:10:23.328", "ingestTimestamp" : "2026-06-14T20:14:25.387", "mongoId" : "6a2c8d6e74d8ee00a0978f1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 152000, "salaryAnnualMax" : 203000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1064.7529, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f838", "title" : "Software Integration and Release Management", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Technology", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Software Integration and Release Management role in Shanghai, China, adjusted for the technology industry and company size." }, "location" : "China (Mainland)-Shanghai-Shanghai", "locations" : [ "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-15T09:09:35.643", "fingerprint" : "a89c3c533496119d6fd8bd2fcff916c3961f30805852428a644abc2ee15a0241", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882631", "externalId" : "882631", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2312707,121.4700152" } ], "locationText" : "Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "QNX, QNX hypervisor, Android, Autosar, Java, Shell, Gradle, Jenkins", "professionalSkills" : [ "Software integration", "Version release", "Process management", "Quality management", "Project management" ], "hardSkillsList" : [ "Software integration", "Release management", "Android development", "Adas development", "Java programming", "Shell programming" ], "hardSkills" : [ { "name" : "Software integration", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Android development", "level" : "intermediate" }, { "name" : "Adas development", "level" : "intermediate" }, { "name" : "Java programming", "level" : "intermediate" }, { "name" : "Shell programming", "level" : "intermediate" } ], "majorSkills" : "Software integration, Release management, Android integration, Adas integration", "majorSkillsList" : [ "Software integration", "Release management", "Android integration", "Adas integration" ], "coreResponsibilities" : "Compile platform software, Integrate platform software, Release platform software, Ensure release quality, Manage software versions, Integrate QNX, Integrate QNX hypervisor, Integrate Android layers, Integrate Android modules, Integrate autosar, Integrate software modules, Deploy software modules, Perform smoke testing, Promote software integration, Solve integration issues, Manage integration tools, Manage release tools, Manage integration scripts, Manage release scripts, Compile integration process, Participate CICD construction, Participate release links", "projectManagementSkills" : [ "Process management", "Quality management", "Project management" ], "domainKnowledge" : "Intelligent cockpit platform; Adas platform; Android system; Adas system; Vehicle development process", "domainList" : [ "intelligent-cockpit-platform", "adas-platform", "android-system", "adas-system", "vehicle-development-process" ], "domainSpecificKnowledge" : [ "Intelligent cockpit platform", "Adas platform", "Android system", "Adas system", "Vehicle development process" ], "toolProficiency" : [ "Gradle", "Jenkins" ], "outcomesObjectives" : "Ensure release quality", "qualificationsBasic" : "Bachelor's in computer science, 3 years working experience, In-vehicle infotainment software development, Managing series production software integration, Managing series production software publication, Good Java programming skills, Good Shell programming skills, Good knowledge Android/Adas system, Good knowledge development toolchain, Good knowledge methodology, Good knowledge publication process, Proficient process management, Proficient quality management, Proficient project management, Excellent English skill, CET-6 mandatory", "qualificationsPreferred" : "Good experiences mobile development, Good experiences internet development, Good experiences Android/Adas development, Good experiences Android/Adas integration, Familiar vehicle development process, Germany language preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Task description § Responsible for the compilation and integration of the intelligent cockpit/ adas platform software and version release, ensure the release quality, and do a good job in version management; § Mainly responsible for the integration of QNX, QNX hypervisor, Android layers/modules as well as applications; autosar integration. § Responsible for the integration and deployment of software modules in the hardware environment and smoke testing, and promote and solve related problems; § Responsible for software integration and release related tools/script development; § Responsible for compiling the process of software integration and release; § Participate in the construction of CICD (Continuous Integration Continuous Delivery) integration and release related links. Qualification Education · Bachelor in computer science, robotics, electrical engineering or a related field Experience · At least 3 years working experience in the In-vehicle infotainment software development, and managing series production software integration and publication, prefer to have good experiences in mobile, internet, Android/Adas development/integration. · Good experience in in-vehicle infotainment software development and Android/Adas developing, integration, packaging and publishing. · Good Java and Shell programming skills. · Good knowledge and understanding of Android/Adas system, development toolchain, methodology and publication process. · Have good knowledge and understanding of gradle and Jenkins. · Proficient in the basic theories, methods and tools of process management, quality management and project management, be able to independently formulate and implement the software product development process, and be familiar with the vehicle development process is preferred. · Excellent English skill, CET-6 is mandatory, Germany is preferred. Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "Software Integration and Release Management at Mercedes-Benz Digital Tech Ltd.. Skills: Software integration, Release management, Android integration, Adas integration. Compile platform software. Integrate platform software", "createdAt" : "2026-06-14T01:03:20.292", "lastUpdated" : "2026-06-15T09:09:35.643", "ingestTimestamp" : "2026-06-14T01:03:20.292", "mongoId" : "6a191e7758b93c861e39f838", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software integration", "Release management", "Android development", "Adas development", "Java programming", "Shell programming", "Android integration", "Adas integration", "Version release", "Process management", "Quality management", "Project management", "Intelligent cockpit platform", "Adas platform", "Android system", "Adas system", "Vehicle development process", "Gradle", "Jenkins" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1055.1531, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e54c40e2acd1b999f4", "title" : "Sr Release Manager, Design Engineering", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 136600.0, "max" : 184800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "certifications" : [ "Professional Engineering License", "Architectural License" ], "timestamp" : "2026-06-15T07:43:55.827", "fingerprint" : "81e8e40f18f8e0a7cd6f8a958c687244c4f1aa657337b5d277f7d752d628c2f7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412843/apply", "externalId" : "7567bda3-ea60-4aa9-97c9-2c1f93081051", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Electrical power distribution, Mechanical cooling systems, Structural loads, Civil site work, Architectural layouts, Controls systems, Plumbing infrastructure, Fire protection systems", "professionalSkills" : [ "Design change management", "Feasibility analysis", "Technical reviews", "Lifecycle management", "Cost implications", "Program execution", "Process improvement", "Supply chain management", "Budget tracking" ], "hardSkillsList" : [ "Electrical calculations", "Cooling capacity", "Structural load analysis", "Hydraulic calculations" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Electrical calculations", "level" : "intermediate" }, { "name" : "Cooling capacity", "level" : "intermediate" }, { "name" : "Structural load analysis", "level" : "intermediate" }, { "name" : "Hydraulic calculations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Design Engineering, Infrastructure Services, Change Management", "majorSkillsList" : [ "Design Engineering", "Infrastructure Services", "Change Management" ], "coreResponsibilities" : "Evaluate complex design changes, Analyze technical specifications, Assess design change feasibility, Understand data center designs, Identify technical dependencies, Assess constructability, Review technical calculations, Manage portfolio of design changes, Conduct feasibility analyses, Coordinate technical reviews, Develop implementation plans, Present design change recommendations, Evaluate design improvements, Partner with Electrical Engineers, Collaborate with Mechanical Engineers, Work with Structural Engineers, Engage with Civil Engineers, Coordinate with Architectural teams, Interface with Controls Engineers, Partner with Fire Protection Engineers, Partner with Design Management teams, Collaborate with Finance teams, Work with Construction Management, Engage with Product teams, Coordinate with Commissioning teams, Identify opportunities to streamline workflows, Develop technical documentation, Contribute to automation initiatives, Support integration of cost validation, Drive continuous improvement, Track design change metrics, Maintain design change databases, Support BOD release planning, Participate in leadership reviews", "teamCollaboration" : "Cross-discipline collaboration; Stakeholder coordination; Cross-functional teams", "projectManagementSkills" : [ "Programmatic Design Change Management" ], "domainKnowledge" : "Data center design; Power distribution; Cooling system architectures; Backup power systems; Building infrastructure; Mission critical facilities", "domainList" : [ "data-center-design", "power-distribution", "cooling-system-architectures", "backup-power-systems", "building-infrastructure", "mission-critical-facilities" ], "domainSpecificKnowledge" : [ "Data center design", "Power distribution", "Cooling system architectures", "Backup power systems", "Building infrastructure", "Mission critical facilities" ], "communicationSkills" : "Present recommendations; Articulate technical complexity", "documentationSkills" : "Technical documentation; Design standards; RACI matrices; Standard operating procedures", "continuousLearning" : "Knowledge sharing; Mentorship", "innovationCreativity" : "Evaluate design innovations", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Feasibility analysis", "outcomesObjectives" : "Minimize redesign impacts", "qualificationsBasic" : "6+ years data center design experience, 6+ years industrial engineering experience, Bachelor's degree in Engineering, Knowledge of critical data center equipment, Experience researching new designs", "qualificationsPreferred" : "Professional Engineering License, Architectural License, Knowledge of building codes, Experience carrying design concepts through deployment, Experience reading construction drawings", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. We are seeking a highly technical Design Change Manager to join our GDSCM team, focusing on the Basis of Design (BOD) and Programmatic Design Change Management (PDCM) programs. This role requires deep technical expertise across multiple engineering disciplines and the ability to evaluate complex design changes across 300+ in-flight projects. As a Design Change Manager, you will serve as a technical expert evaluating design change requests across electrical, mechanical, civil, structural, architectural, controls, plumbing, fire protection, and thermal systems. You will conduct feasibility analyses, coordinate technical reviews with principal engineers across all disciplines, and manage the end-to-end lifecycle of design changes from initiation through implementation. You will work closely with Design Engineering, Construction Management, Procurement, Finance, and Product teams to ensure design changes are properly vetted, funded, and executed. Key job responsibilities Technical Design Evaluation • Evaluate complex design changes across multiple engineering disciplines including electrical power distribution, mechanical cooling systems, structural loads, civil site work, architectural layouts, controls systems, plumbing infrastructure, and fire protection systems • Analyze technical specifications, construction drawings, equipment datasheets, and system integration requirements to assess design change feasibility and impact • Understand and explain the complexity of data center designs including power distribution from utility to rack level, cooling system architectures, backup power systems, and building infrastructure • Identify technical dependencies and cross-discipline impacts when evaluating proposed design changes • Assess constructability, maintainability, and operational implications of design modifications • Review and validate technical calculations including electrical load calculations, cooling capacity requirements, structural load analysis, and hydraulic calculations Design Change Management • Manage portfolio of design changes across multiple in-flight projects, ensuring alignment with business priorities and technical requirements • Conduct feasibility analyses and production readiness assessments for proposed design changes, evaluating technical risk, schedule impact, and cost implications • Coordinate technical reviews with principal engineers across mechanical, electrical, structural, civil, architectural, controls, plumbing, and fire protection disciplines • Develop and maintain implementation plans, tracking design change execution from approval through site deployment • Present design change recommendations and cost implications to senior leadership, clearly articulating technical complexity and business impact • Evaluate design improvements and innovations, assessing their applicability across the global portfolio Cross-Discipline Collaboration • Partner with Electrical Engineers on power distribution design, generator sizing, UPS configurations, switchgear specifications, and high-voltage systems • Collaborate with Mechanical Engineers on cooling system design, HVAC configurations, piping layouts, and thermal management strategies • Work with Structural Engineers on foundation design, seismic requirements, equipment support structures, and building loads • Engage with Civil Engineers on site grading, stormwater management, utility routing, and site infrastructure • Coordinate with Architectural teams on building layouts, space planning, and building envelope design • Interface with Controls Engineers on building management systems, monitoring systems, and automation strategies • Partner with Fire Protection Engineers on fire suppression systems, detection systems, and life safety requirements Stakeholder Coordination • Partner with Design Management teams to understand project-specific requirements, constraints, and technical challenges • Collaborate with Finance teams on cost validation, funding strategies, and budget tracking for design changes • Work with Construction Management and Procurement teams to assess schedule impacts, supply chain constraints, and constructability • Engage with Product and Solutions teams to evaluate new equipment, emerging technologies, and design approaches • Coordinate with Commissioning teams to ensure design changes support testing and startup requirements Process Improvement • Identify opportunities to streamline design change workflows and reduce execution timelines while maintaining technical rigor • Develop and maintain technical documentation including standard operating procedures, design standards, technical specifications, and RACI matrices • Contribute to automation initiatives and tooling improvements for design change management • Support integration of cost validation frameworks and bulk funding mechanisms • Drive continuous improvement in technical review processes and design quality standards Program Execution • Track and report on design change metrics including approval timelines, cost avoidance, implementation status, and technical quality • Maintain design change databases and dashboards for cross-functional visibility • Support BOD release planning and coordination to minimize redesign impacts • Participate in weekly leadership reviews presenting program status, key decisions, and technical recommendations About the team The Global Design Standards and Change Management (GDSCM) organization within Data Center Engineering is responsible for establishing and maintaining design standards across the global data center portfolio. Our team manages three mission-critical programs: Basis of Design (BOD) Establishes and governs the foundational technical standards for all global data center designs, ensuring consistency and quality across the portfolio. Programmatic Design Change Management (PDCM) Manages design change requests across 300+ in-flight projects. 360 Equipment Qualification Program (360 EQP) Qualifies equipment and technologies for deployment across the global portfolio, evaluating emerging solutions and driving standardization of critical systems. Together, these programs deliver capacity across the AMER, APAC, and EMEA regions. Why AWS o Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences o Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance o We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture o Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth o We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications: - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually USA, TX, Austin - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually", "summaryDescription" : "Sr Release Manager, Design Engineering at Amazon Data Services, Inc.. Skills: Design Engineering, Infrastructure Services, Change Management. Evaluate complex design changes. Analyze technical specifications", "postedDate" : "2026-06-13T10:12:44.351", "createdAt" : "2026-06-13T10:12:44.351", "lastUpdated" : "2026-06-15T07:43:55.827", "ingestTimestamp" : "2026-06-13T10:12:44.351", "mongoId" : "69fda4e54c40e2acd1b999f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412843/apply", "salaryAnnualMin" : 136600, "salaryAnnualMax" : 184800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical calculations", "Cooling capacity", "Structural load analysis", "Hydraulic calculations", "Mentorship", "Design Engineering", "Infrastructure Services", "Change Management", "Design change management", "Feasibility analysis", "Technical reviews", "Lifecycle management", "Cost implications", "Program execution", "Process improvement", "Supply chain management", "Budget tracking", "Programmatic Design Change Management", "Data center design", "Power distribution", "Cooling system architectures", "Backup power systems", "Building infrastructure", "Mission critical facilities", "Professional Engineering License", "Architectural License" ], "skillCount" : 26, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 1054.4634, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Infrastructure" }, { "id" : "6a2ca61d74d8ee00a09b9ae4", "title" : "Analytics Engineer/Data Analyst (f/m/d) - Data Pricing - Apprenticeship", "company" : "Decathlon Digital", "industry" : "Retail", "salary" : { "min" : 23000.0, "max" : 27000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level apprenticeship in Paris, France, adjusted for the retail industry." }, "location" : "Lille, Upline, Nord, France", "locations" : [ "Lille", "Upline", "Nord", "France", "Paris", "Paris", "France" ], "timestamp" : "2026-06-16T05:46:39.276", "fingerprint" : "03afc98ce41516e119603c5aa868488a26e736db41ea00126017193d0e88c9f6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/decathlontechnologyen/jobs/4861270101", "externalId" : "4861270101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" }, { "city" : "Lille", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.6365654,3.0635282" } ], "locationText" : "Paris, France; Lille, France", "employmentType" : "INTERNSHIP", "technicalSkills" : "SQL, Dbt, Python, Databricks, Git, Airflow, Tableau", "professionalSkills" : [ "Data pipelines", "Decision support", "Business acumen" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Pricing strategy" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Pricing strategy", "level" : "intermediate" } ], "coreResponsibilities" : "Bridge gap between data and decisions, Perform end-to-end data delivery, Extract data, Create decision-support dashboards, Explore data, Analyze data, Answer business questions, Design data pipelines, Maintain data pipelines, Automate reporting, Analyze pricing performance, Challenge the status quo", "teamCollaboration" : "Agile team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Global pricing strategy; Pricing use cases", "domainList" : [ "global-pricing-strategy", "pricing-use-cases" ], "domainSpecificKnowledge" : [ "Global pricing strategy", "Pricing use cases" ], "toolProficiency" : [ "Dbt", "Databricks", "Git", "Airflow", "Tableau" ], "continuousLearning" : "Skills development; Mentorship", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Impact global pricing relevance; Improve sport user satisfaction", "qualificationsBasic" : "Command of SQL", "qualificationsPreferred" : "Dbt, Python, Databricks, Git, Airflow, Tableau, Previous internship or project in Data field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our Data Pricing TEAM is looking for a Analytics Engineer/Data Analyst (f/m/d) on an apprenticeship basis, located in Paris/Lille starting September 2026. OUR TEAM Within an agile team of 5 to 6 analytics professionals (Business Intelligence, Data Analysts, Analytics Engineers) based in Lille and Paris, we drive Decathlon's global pricing strategy. Our challenge? Steering performance during peak commercial seasons (\"In-Season\") and turning data into growth opportunities. You will have a direct impact on our global pricing relevance and the satisfaction of our sport users. YOUR FUTURE CONTRIBUTION Under the guidance of your mentor, you will bridge the gap between raw data and business decisions: End-to-End Data Delivery: Work across the entire data lifecycle, from data extraction to the creation of decision-support dashboards. Ad-hoc Analysis: Explore and analyze data to answer complex business questions (price elasticity, margin analysis, promotional impact). Data Engineering: Design and maintain robust data pipelines using dbt to feed our pricing use cases and automate reporting. In-Season Monitoring you analyze them with business acumen and are comfortable challenging the status quo. Experience: A previous internship or project in the Data field is a plus TECHNICAL STACK Must-have: Strong command of SQL. Nice-to-have: dbt, Python, Databricks, Git, Airflow, and Tableau. WHAT WE OFFER Working equipment provided (Mac or Windows). Local project team within a global network (international career opportunities). Skills development and mentorship. Competitive compensation package (shareholding, bonuses). OUR COMMITMENT TO INCLUSION AND ACCESSIBILITY At Decathlon, we recognize the immense value that diversity brings to our teams, and we continuously strive to foster and cultivate an inclusive and equitable workplace: this is why Inclusion is one of our Human Fundamentals. We encourage people from all backgrounds and abilities to apply, as we are convinced that diversity of thought, culture, identity, and lived experience makes us strong. Decathlon is also committed to providing an inclusive and accessible selection process for all candidates. If you need any adjustments, you can request them via the application form, and this information will remain confidential. These requests do not affect the outcome of the recruitment process. DECATHLON DIGITAL CONTEXT What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life. Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.", "summaryDescription" : "Analytics Engineer/Data Analyst (f/m/d) - Data Pricing - Apprenticeship at Decathlon Digital. Bridge gap between data and decisions. Perform end-to-end data delivery", "postedDate" : "2026-06-14T21:49:17.411", "createdAt" : "2026-06-14T21:49:17.411", "lastUpdated" : "2026-06-16T05:46:39.276", "ingestTimestamp" : "2026-06-14T21:49:17.411", "mongoId" : "6a2ca61d74d8ee00a09b9ae4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Pricing strategy", "Data pipelines", "Decision support", "Business acumen", "Agile", "Global pricing strategy", "Pricing use cases", "Dbt", "Databricks", "Git", "Airflow", "Tableau" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 1036.8334, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc29274d8ee00a0a06d27", "title" : "Lead Analytics Engineer (f/m/d)", "company" : "Enpal", "industry" : "Tech", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for Lead Analytics Engineers in Berlin, Germany, with adjustments for the climate tech industry and company size." }, "location" : "Berlin", "locations" : [ "Berlin" ], "timestamp" : "2026-06-15T13:55:26.238", "fingerprint" : "e963013d7708cef6f9cf4f165ce90ca7df00599a4113776a77a8cf7ea9e2d96d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/enpal/c4a9146a-d300-4579-9e54-4cbe7805c5fc/application", "externalId" : "c4a9146a-d300-4579-9e54-4cbe7805c5fc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Dimensional modeling", "Normalization", "Denormalization", "Integrations", "ETL/ELT pipelines", "Data workflows", "Data models", "Actionable insights", "Roadmap planning", "Sprint execution", "Delivery coordination", "Data pipelines", "Analytical systems" ], "hardSkillsList" : [ "Data modeling", "Dimensional modeling", "Normalization", "Denormalization", "Integrations", "ETL/ELT pipelines", "Data workflows", "Data models", "Actionable insights", "Roadmap planning", "Sprint execution", "Delivery coordination", "Data pipelines", "Analytical systems" ], "softSkillsList" : [ "Mentoring", "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "Normalization", "level" : "intermediate" }, { "name" : "Denormalization", "level" : "intermediate" }, { "name" : "Integrations", "level" : "intermediate" }, { "name" : "ETL/ELT pipelines", "level" : "intermediate" }, { "name" : "Data workflows", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Actionable insights", "level" : "intermediate" }, { "name" : "Roadmap planning", "level" : "intermediate" }, { "name" : "Sprint execution", "level" : "intermediate" }, { "name" : "Delivery coordination", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Leadership" } ], "majorSkills" : "Data ecosystem, Dbt data models, ETL/ELT pipelines, Data models", "majorSkillsList" : [ "Data ecosystem", "Dbt data models", "ETL/ELT pipelines", "Data models" ], "coreResponsibilities" : "Drive scalable data ecosystem, Act as technical lead, Design dbt data models, Build ETL/ELT pipelines, Enhance data workflows, Translate business requirements, Drive prioritization, Lead sprint execution, Coordinate delivery, Mentor team members, Guide team development, Monitor data pipelines, Optimize data pipelines, Evolve analytical systems", "teamCollaboration" : "Across sub-teams; With stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning", "Sprint execution", "Delivery coordination" ], "domainKnowledge" : "Energy transition; Smart energy ecosystem; Decentralized energy", "domainList" : [ "energy-transition", "smart-energy-ecosystem", "decentralized-energy" ], "domainSpecificKnowledge" : [ "Energy transition", "Smart energy ecosystem", "Decentralized energy" ], "toolProficiency" : [ "Dbt", "Power BI" ], "communicationSkills" : "Stakeholder collaboration", "problemSolvingSkills" : "Transforming datasets", "qualificationsBasic" : "7+ years experience, Expertise in SQL, Expertise in data modeling, Hands-on dbt models experience, Design and optimize ETL/ELT pipelines, Experience with Power BI", "qualificationsPreferred" : "Python skills a plus, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One http://Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. metrify is Enpal’s smart metering unit and the digital infrastructure for a smart energy ecosystem. With tens of thousands of iMSys units installed and scalable processes, we make energy measurable, controllable, and economically viable—and, together with our partners, we are laying the groundwork for new business models for the energy transition. WHAT YOU’LL DO - Balancing hands-on engineering with a big-picture vision to drive a scalable, future-proof data ecosystem. - Acting as the central point of contact and technical lead across multiple sub-teams and projects, guiding them toward aligned, optimal solutions. - Designing and scaling dbt data models to improve efficiency and support growing business requirements. - Building and enhancing ETL/ELT pipelines and data workflows aligned with business goals using modern data stack tools (e.g. SQL, Python, cloud data platforms). - Translating business requirements into robust data models and actionable insights in close collaboration with stakeholders. - Driving prioritization and roadmap planning, leading sprint execution and delivery coordination to ensure alignment with business priorities. - Mentoring and guiding a team, fostering professional development, collaboration, and a growth-oriented environment while aligning team goals with business objectives. - Monitoring, optimizing, and evolving data pipelines and analytical systems to ensure reliability and scalability. WHAT YOU’LL BRING - 7+ years of experience in Data Analytics, Data Science, or Data Engineering roles. - Strong expertise in SQL and data modeling, including dimensional modeling, normalization, denormalization, and integrations. - Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders. - Hands-on experience building and maintaining dbt models in production environments with multi-terabyte-sized data assets. - Proven ability to design and optimize ETL/ELT pipelines and data workflows. - Experience working with BI tools such as Power BI for reporting and data visualization. - Ability to work with complex and ambiguous datasets, transforming them into structured and usable data models. - Experience leading projects, managing priorities, and guiding technical delivery within cross-functional teams. - Passion for mentoring, enabling teams, and fostering data-driven cultures. - Python skills are considered a plus, but are not a strict requirement for this position. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential - regardless of whether your experience meets every single requirement. ☀️ WHAT WE OFFER - Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. - The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. - The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. - Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. - Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. - Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. - The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. - Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.", "summaryDescription" : "Lead Analytics Engineer (f/m/d) at Enpal. Skills: Data ecosystem, Dbt data models, ETL/ELT pipelines, Data models. Drive scalable data ecosystem. Act as technical lead", "createdAt" : "2026-06-14T09:42:56.580", "lastUpdated" : "2026-06-15T13:55:26.238", "ingestTimestamp" : "2026-06-14T09:42:56.580", "mongoId" : "6a2cc29274d8ee00a0a06d27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Dimensional modeling", "Normalization", "Denormalization", "Integrations", "ETL/ELT pipelines", "Data workflows", "Data models", "Actionable insights", "Roadmap planning", "Sprint execution", "Delivery coordination", "Data pipelines", "Analytical systems", "Mentoring", "Leadership", "Data ecosystem", "Dbt data models", "Energy transition", "Smart energy ecosystem", "Decentralized energy", "Dbt", "Power BI" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 1027.7837, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304ef6f292fd229cee3de5", "title" : "Product Analytics Lead (m/f/d)", "company" : "InPost", "industry" : "Package/Freight Delivery", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Product Analytics Lead in E-Commerce in Warsaw, Poland, adjusted for seniority and company size." }, "location" : "Warszawa, Województwo mazowieckie, Poland", "locations" : [ "Warszawa", "Województwo mazowieckie", "Poland" ], "timestamp" : "2026-06-16T05:12:04.749", "fingerprint" : "0f6771062632f5096b2468301acffa08a947cc2d648316aa6b3273330add621b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/InPost/744000132220075-product-analytics-lead-m-f-d-", "externalId" : "744000132220075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Województwo mazowieckie", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Województwo mazowieckie, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Spark, Databricks, Python, Medallion architecture, Lakehouse architecture, GCP, Azure, AWS, Power BI, Looker, Tableau", "professionalSkills" : [ "Data Product Development", "Data Layer Development", "Architecture Development", "Data Governance", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development" ], "hardSkillsList" : [ "Data analysis", "Data processing", "Data pipelines", "Data models", "Data governance", "Data quality", "Statistical methods" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product Analytics, Data Engineering, Data Governance, Data Analysis", "majorSkillsList" : [ "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis" ], "coreResponsibilities" : "Own end-to-end delivery of data products, Gather requirements, Perform data analysis, Address business problems, Propose solution architecture, Implement objects in production, Coordinate visualisation with BI team, Monitor quality, Maintain documentation, Build data layer for InPost Pay, Evolve data layer, Support product analytics, Ensure object documentation quality, Ensure business definitions quality, Drive data governance excellence, Document reports, Document objects, Document business definitions, Identify data owners, Identify subject-matter experts, Support data certification, Implement data quality, Improve coverage and accuracy, Conduct complex analyses, Deliver actionable insights, Apply statistical methods, Apply large-scale data processing, Ensure quality through testing, Iterative collaboration with product team, Iterative collaboration with business stakeholders, Take ownership of assigned tasks, Provide reliable delivery estimates, Maintain proactive communication with business partners, Surface progress and blockers, Ensure on-time delivery, Ensure high-quality solutions, Stay current with data processing developments, Evaluate market tools, Share knowledge through training, Share knowledge through experimentation, Provide advisory support, Build and manage a team, Conduct mentoring sessions, Develop analytical competencies within team", "teamCollaboration" : "BI team; Product team; Business stakeholders; International markets; Cross-functional environment", "projectManagementSkills" : [ "Agile mindset", "Iterative delivery", "Sprint planning", "Stakeholder management" ], "domainKnowledge" : "fintech; payments; e-commerce", "domainList" : [ "fintech", "payments", "e-commerce" ], "domainSpecificKnowledge" : [ "fintech", "payments", "e-commerce" ], "toolProficiency" : [ "Atlan", "Apache Atlas" ], "communicationSkills" : "Translate between technical and business language", "documentationSkills" : "Documentation; Object documentation; Business definitions; Reports documentation", "continuousLearning" : "Continuous Learning; Evaluate market tools; Share knowledge; Experimentation; Investment in development; Training; Growth", "innovationCreativity" : "Innovation; Experiment with new technologies; AI tooling; Bring innovations into production", "problemSolvingSkills" : "Address business problems; Complex Data Analysis", "outcomesObjectives" : "Data products will directly influence strategic decisions; Impact will be visible immediately; Make a difference in how millions of users experience", "qualificationsBasic" : "Hands-on experience with SQL, Large-scale data processing, Proficiency in Python, Data engineering workflows, Analytical workflows, Experience designing data pipelines, Building data pipelines, Data models, Experience working with cloud-based data platforms, Communication skills, Translate between technical and business language, Agile mindset", "qualificationsPreferred" : "Medallion architecture preferred, Lakehouse architecture preferred, Data governance frameworks, Data catalogues, Data quality tooling, GCP, Azure, AWS, Iterative delivery, Sprint planning, Stakeholder management, Experience with BI / visualisation tools, Power BI, Looker, Tableau, Background in fintech, Payments, E-commerce, Experience mentoring junior analysts, Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper, more flexible, convenient, environmentally friendly and contactless delivery option. InPost Pay - a fast-growing payment and checkout solution that enables seamless, one-click purchasing across the InPost ecosystem and partner merchants. Data is at the heart of how InPost Pay grows: shaping product decisions, powering analytics, and ensuring we move fast with confidence. We are looking for a Product Analytics Lead to join the InPost Pay and play a central role in building the data foundation that drives product and business decisions. You will own the full lifecycle of data products — from understanding business requirements and designing data architecture, through implementation in our production environment, to documentation and quality monitoring. Main Activities: Data Product Development: Own the end-to-end delivery of data products: gather requirements, perform comprehensive data analysis to address business problems, propose solution architecture, implement objects in the production environment, coordinate visualisation with the BI team, monitor quality, and maintain best-in-class documentation. Data Layer & Architecture Development: Build and evolve the data layer for the InPost Pay business unit to support deep product analytics. Ensure the highest quality of object documentation and business definitions across all data assets. Data Governance: Drive data governance excellence: document reports, objects, and business definitions; identify data owners and subject-matter experts (including across international markets); support data certification initiatives; implement data quality metrics; and continuously improve coverage and accuracy. Complex Data Analysis: Conduct comprehensive analyses to solve business problems and deliver actionable insights. Apply statistical methods and large-scale data processing techniques. Ensure quality through testing and iterative collaboration with the product team and business stakeholders. Agile Ways of Working: Take ownership of assigned tasks, provide reliable delivery estimates, and maintain proactive communication with business partners — surfacing progress and blockers clearly to ensure on-time delivery of high-quality solutions. Innovation & Continuous Learning: Stay current with developments in data processing and data governance; evaluate market tools (including those not yet used at InPost); share knowledge through internal training and experimentation. Mentoring & Team Development: Provide advisory support in building and managing a team of product analysts; conduct mentoring sessions and actively develop analytical competencies within the team. ## Qualifications * Strong hands-on experience with SQL and large-scale data processing (Spark, Databricks, or equivalent) * Proficiency in Python for data engineering and analytical workflows * Experience designing and building data pipelines and data models (Medallion / Lakehouse architecture preferred) * Familiarity with data governance frameworks, data catalogues (e.g. Atlan, Apache Atlas), and data quality tooling * Experience working with cloud-based data platforms (GCP, Azure, or AWS) * Strong communication skills — able to translate between technical and business language * Agile mindset: comfortable with iterative delivery, sprint planning, and stakeholder management * Experience with BI / visualisation tools (e.g. Power BI, Looker, Tableau) is a plus * Background in fintech, payments, or e-commerce is a plus * Experience mentoring junior analysts or engineers is a plus ## Additional Information Why Join InPost? * Work at the intersection of fintech and e-commerce on one of Poland’s fastest-growing digital products * Real ownership — your data products will directly influence strategic decisions in InPost Pay * Opportunity to work in a diverse, international, and cross-functional environment alongside leading experts * Space to experiment with new technologies — including AI tooling — and bring innovations into production * Fulfilling career path with investment in your development, training, and growth * Your impact will be visible immediately — you will make a difference in how millions of users experience InPost Pay * We offer B2B type of cooperation", "summaryDescription" : "Product Analytics Lead (m/f/d) at InPost. Skills: Product Analytics, Data Engineering, Data Governance, Data Analysis. Own end-to-end delivery of data products. Gather requirements", "postedDate" : "2026-06-15T14:37:13.000", "createdAt" : "2026-06-15T21:32:02.898", "lastUpdated" : "2026-06-16T05:12:04.749", "ingestTimestamp" : "2026-06-15T21:32:02.898", "mongoId" : "6a304ef6f292fd229cee3de5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data processing", "Data pipelines", "Data models", "Data governance", "Data quality", "Statistical methods", "Leadership", "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis", "Data Product Development", "Data Layer Development", "Architecture Development", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development", "Agile mindset", "Iterative delivery", "Sprint planning", "Stakeholder management", "fintech", "payments", "e-commerce", "Atlan", "Apache Atlas" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 1026.4558, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3084daf292fd229c075b71", "title" : "Product Analytics Lead (m/f/d)", "company" : "InPost", "industry" : "Package/Freight Delivery", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Product Analytics Lead in E-Commerce in Warsaw, Poland, adjusted for seniority and company size." }, "location" : "Warszawa, Województwo mazowieckie, Poland", "locations" : [ "Warszawa", "Województwo mazowieckie", "Poland" ], "timestamp" : "2026-06-16T10:37:56.204", "fingerprint" : "d9e8adcafcad87650019c7837cebfc5d7321ebb86bb1a40f0254f59d41c67c9f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/InPost/744000132220075-product-analytics-lead-m-f-d-", "externalId" : "744000132220075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Województwo mazowieckie", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Województwo mazowieckie, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Spark, Databricks, Python, GCP, Azure, AWS, Power BI, Looker, Tableau", "professionalSkills" : [ "Data Product Development", "Data Layer Development", "Data Governance", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Data modelling", "Data governance", "Statistical methods", "Data processing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product Analytics, Data Engineering, Data Governance, Data Analysis", "majorSkillsList" : [ "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis" ], "coreResponsibilities" : "Own the end-to-end delivery of data products, Gather requirements, Perform comprehensive data analysis, Address business problems, Propose solution architecture, Implement objects in the production environment, Coordinate visualisation with the BI team, Monitor quality, Maintain best-in-class documentation, Build and evolve the data layer, Support deep product analytics, Ensure highest quality of object documentation, Ensure business definitions across all data assets, Drive data governance excellence, Document reports, Document objects, Document business, Identify data owners, Identify subject-matter experts, Support data certification, Implement data quality, Continuously improve coverage and accuracy, Conduct comprehensive analyses, Deliver actionable insights, Apply statistical methods, Apply large-scale data processing techniques, Ensure quality through testing, Iterative collaboration with the product team, Iterative collaboration with business stakeholders, Take ownership of assigned tasks, Provide reliable delivery estimates, Maintain proactive communication with business partners, Surface progress and blockers clearly, Ensure on-time delivery of high-quality solutions, Stay current with developments in data processing, Evaluate market tools, Share knowledge through internal training, Share knowledge through experimentation, Provide advisory support in building a team, Manage a team of product, Conduct mentoring sessions, Develop analytical competencies within the team", "teamCollaboration" : "BI team; Product team; Business stakeholders; International markets; Cross-functional environment", "projectManagementSkills" : [ "Agile mindset", "Iterative delivery", "Sprint planning" ], "domainKnowledge" : "Fintech; Payments; E-commerce", "domainList" : [ "fintech", "payments", "e-commerce" ], "domainSpecificKnowledge" : [ "Fintech", "Payments", "E-commerce" ], "toolProficiency" : [ "Spark", "Databricks", "Atlan", "Apache Atlas", "Power BI", "Looker", "Tableau" ], "communicationSkills" : "Translate technical to business language", "documentationSkills" : "Documentation; Business definitions", "continuousLearning" : "Continuous learning; Evaluate market tools; Internal training; Experimentation", "innovationCreativity" : "Innovation; Experimentation; AI tooling", "problemSolvingSkills" : "Address business problems; Solve business problems", "outcomesObjectives" : "Drive product decisions; Power analytics; Move fast with confidence; Build data foundation; Influence strategic decisions", "qualificationsBasic" : "Hands-on experience with SQL, Large-scale data processing (Spark, Databricks, or equivalent), Proficiency in Python for data engineering, Analytical workflows, Experience designing and building data pipelines, Data models, Experience working with cloud-based data platforms (GCP, Azure, or AWS), Communication skills — able to translate between technical and business language, Agile mindset", "qualificationsPreferred" : "Medallion / Lakehouse architecture preferred, Familiarity with data governance frameworks, Data catalogues (e. g. Atlan, Apache Atlas), Data quality tooling, Experience with BI / visualisation tools (e. g. Power BI, Looker, Tableau) is a plus, Background in fintech, payments, or e-commerce is a plus, Experience mentoring junior analysts or engineers is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper, more flexible, convenient, environmentally friendly and contactless delivery option. InPost Pay - a fast-growing payment and checkout solution that enables seamless, one-click purchasing across the InPost ecosystem and partner merchants. Data is at the heart of how InPost Pay grows: shaping product decisions, powering analytics, and ensuring we move fast with confidence. We are looking for a Product Analytics Lead to join the InPost Pay and play a central role in building the data foundation that drives product and business decisions. You will own the full lifecycle of data products — from understanding business requirements and designing data architecture, through implementation in our production environment, to documentation and quality monitoring. Main Activities: Data Product Development: Own the end-to-end delivery of data products: gather requirements, perform comprehensive data analysis to address business problems, propose solution architecture, implement objects in the production environment, coordinate visualisation with the BI team, monitor quality, and maintain best-in-class documentation. Data Layer & Architecture Development: Build and evolve the data layer for the InPost Pay business unit to support deep product analytics. Ensure the highest quality of object documentation and business definitions across all data assets. Data Governance: Drive data governance excellence: document reports, objects, and business definitions; identify data owners and subject-matter experts (including across international markets); support data certification initiatives; implement data quality metrics; and continuously improve coverage and accuracy. Complex Data Analysis: Conduct comprehensive analyses to solve business problems and deliver actionable insights. Apply statistical methods and large-scale data processing techniques. Ensure quality through testing and iterative collaboration with the product team and business stakeholders. Agile Ways of Working: Take ownership of assigned tasks, provide reliable delivery estimates, and maintain proactive communication with business partners — surfacing progress and blockers clearly to ensure on-time delivery of high-quality solutions. Innovation & Continuous Learning: Stay current with developments in data processing and data governance; evaluate market tools (including those not yet used at InPost); share knowledge through internal training and experimentation. Mentoring & Team Development: Provide advisory support in building and managing a team of product analysts; conduct mentoring sessions and actively develop analytical competencies within the team. ## Qualifications * Strong hands-on experience with SQL and large-scale data processing (Spark, Databricks, or equivalent) * Proficiency in Python for data engineering and analytical workflows * Experience designing and building data pipelines and data models (Medallion / Lakehouse architecture preferred) * Familiarity with data governance frameworks, data catalogues (e.g. Atlan, Apache Atlas), and data quality tooling * Experience working with cloud-based data platforms (GCP, Azure, or AWS) * Strong communication skills — able to translate between technical and business language * Agile mindset: comfortable with iterative delivery, sprint planning, and stakeholder management * Experience with BI / visualisation tools (e.g. Power BI, Looker, Tableau) is a plus * Background in fintech, payments, or e-commerce is a plus * Experience mentoring junior analysts or engineers is a plus ## Additional Information Why Join InPost? * Work at the intersection of fintech and e-commerce on one of Poland’s fastest-growing digital products * Real ownership — your data products will directly influence strategic decisions in InPost Pay * Opportunity to work in a diverse, international, and cross-functional environment alongside leading experts * Space to experiment with new technologies — including AI tooling — and bring innovations into production * Fulfilling career path with investment in your development, training, and growth * Your impact will be visible immediately — you will make a difference in how millions of users experience InPost Pay * We offer B2B type of cooperation", "summaryDescription" : "Product Analytics Lead (m/f/d) at InPost. Skills: Product Analytics, Data Engineering, Data Governance, Data Analysis. Own the end-to-end delivery of data products. Gather requirements", "postedDate" : "2026-06-15T14:37:13.000", "createdAt" : "2026-06-16T01:34:46.248", "lastUpdated" : "2026-06-16T10:37:56.204", "ingestTimestamp" : "2026-06-16T01:34:46.248", "mongoId" : "6a3084daf292fd229c075b71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Data modelling", "Data governance", "Statistical methods", "Data processing", "Leadership", "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis", "Data Product Development", "Data Layer Development", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development", "Agile mindset", "Iterative delivery", "Sprint planning", "Fintech", "Payments", "E-commerce", "Spark", "Databricks", "Atlan", "Apache Atlas", "Power BI", "Looker", "Tableau" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 1025.2465, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304ef6f292fd229cee3de4", "title" : "Data Engineer (m/f/d)", "company" : "InPost", "industry" : "Package/Freight Delivery", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Engineer in Warsaw, Poland, adjusted for the logistics industry and remote work." }, "location" : "Warszawa, Województwo mazowieckie, Poland", "locations" : [ "Warszawa", "Województwo mazowieckie", "Poland" ], "timestamp" : "2026-06-16T06:10:11.940", "fingerprint" : "0edfc65e165cbf0e9b243001933b20c8b970d1cb86b0b8306ab7e674937c8f13", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/InPost/744000132220110-data-engineer-m-f-d-", "externalId" : "744000132220110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Województwo mazowieckie", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Województwo mazowieckie, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Apache Spark, Spark SQL, MLlib, PySpark, Scala, Databricks, Apache Kafka, Kafka Streams, Kafka Connect, SQL, NoSQL, Delta Lake, Parquet, GCP, Azure, AWS, REST APIs, SOAP APIs, GitLab CI, Jenkins, Docker", "professionalSkills" : [ "Data pipeline design", "Streaming architecture", "ETL design", "ELT design", "Schema design", "Query optimization", "Cloud architecture", "Software engineering practices", "Performance monitoring", "Incident response", "API integration", "Knowledge sharing", "Code reviews", "Mentoring" ], "hardSkillsList" : [ "Batch processing", "Streaming processing", "Event-driven architecture", "Idempotency", "Observability", "Distributed data processing", "Incremental processing", "SQL databases", "NoSQL databases", "Data warehouses", "Document stores", "Cloud infrastructure", "Managed services", "Automated testing", "Peer code review", "CI/CD", "Version control", "Containerization" ], "hardSkills" : [ { "name" : "Batch processing", "level" : "intermediate" }, { "name" : "Streaming processing", "level" : "intermediate" }, { "name" : "Event-driven architecture", "level" : "intermediate" }, { "name" : "Idempotency", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Distributed data processing", "level" : "intermediate" }, { "name" : "Incremental processing", "level" : "intermediate" }, { "name" : "SQL databases", "level" : "intermediate" }, { "name" : "NoSQL databases", "level" : "intermediate" }, { "name" : "Data warehouses", "level" : "intermediate" }, { "name" : "Document stores", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "Managed services", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Peer code review", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" } ], "majorSkills" : "Data Lake Engineering, Streaming Solutions, ETL/ELT Design, Spark Development", "majorSkillsList" : [ "Data Lake Engineering", "Streaming Solutions", "ETL/ELT Design", "Spark Development" ], "coreResponsibilities" : "Design data lake solutions, Build data lake solutions, Maintain data lake solutions, Process large data volumes, Build real-time pipelines, Operate real-time pipelines, Design event-driven architectures, Architect ETL pipelines, Maintain ETL pipelines, Architect ELT pipelines, Maintain ELT pipelines, Collaborate with data consumers, Develop distributed applications, Apply Spark best practices, Design SQL databases, Manage SQL databases, Design NoSQL databases, Manage NoSQL databases, Select storage layers, Build cloud data solutions, Contribute cloud architecture decisions, Apply software engineering practices, Own operational health, Set up monitoring, Respond to incidents, Identify bottlenecks, Implement optimisations, Integrate data from sources, Contribute to data community, Conduct code reviews, Write internal documentation, Give tech talks, Mentor colleagues", "teamCollaboration" : "Cross-functional squads; Data Scientists; Analytics Engineers; Product Managers; International environment; Cross-functional environment", "projectManagementSkills" : [ "CI/CD", "Agile" ], "domainKnowledge" : "E-commerce enablement; OOH e-commerce; Parcel delivery; Automated Parcel Machines; Data products; ML models; Analytics; Business decisions; Batch architectures; Streaming architectures; Latency; Cost; Reliability; Near-real-time ML; Data quality; Idempotency; Observability; Data consumers; Spark best practices; Partitioning strategies; Broadcast joins; Incremental processing; SQL databases; NoSQL databases; Schema design; Query optimization; Delta Lake; Data warehouses; Document stores; Cloud infrastructure; Managed services; Operational overhead; Performance; Cost efficiency; Cloud architecture; Version control; Automated testing; Peer code review; CI/CD; Pipeline code; Operational health; ETL processes; Monitoring; Incidents; Bottlenecks; SLAs; REST APIs; SOAP APIs; Schema evolution; Error handling; Data engineering community; Tech talks; ML pipeline engineering; Feature store design; Data orchestration tools; Infrastructure as Code", "domainList" : [ "e-commerce-enablement", "ooh-e-commerce", "parcel-delivery", "automated-parcel-machines", "data-products", "ml-models", "analytics", "business-decisions", "batch-architectures", "streaming-architectures", "latency", "cost", "reliability", "near-real-time-ml", "data-quality", "idempotency", "observability", "data-consumers", "spark-best-practices", "partitioning-strategies", "broadcast-joins", "incremental-processing", "sql-databases", "nosql-databases", "schema-design", "query-optimization", "delta-lake", "data-warehouses", "document-stores", "cloud-infrastructure", "managed-services", "operational-overhead", "performance", "cost-efficiency", "cloud-architecture", "version-control", "automated-testing", "peer-code-review", "ci-cd", "pipeline-code", "operational-health", "etl-processes", "monitoring", "incidents", "bottlenecks", "slas", "rest-apis", "soap-apis", "schema-evolution", "error-handling", "data-engineering-community", "tech-talks", "ml-pipeline-engineering", "feature-store-design", "data-orchestration-tools", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "E-commerce enablement", "OOH e-commerce", "Parcel delivery", "Automated Parcel Machines", "Data products", "ML models", "Analytics", "Business decisions", "Batch architectures", "Streaming architectures", "Latency", "Cost", "Reliability", "Near-real-time ML", "Data quality", "Idempotency", "Observability", "Data consumers", "Spark best practices", "Partitioning strategies", "Broadcast joins", "Incremental processing", "SQL databases", "NoSQL databases", "Schema design", "Query optimization", "Delta Lake", "Data warehouses", "Document stores", "Cloud infrastructure", "Managed services", "Operational overhead", "Performance", "Cost efficiency", "Cloud architecture", "Version control", "Automated testing", "Peer code review", "CI/CD", "Pipeline code", "Operational health", "ETL processes", "Monitoring", "Incidents", "Bottlenecks", "SLAs", "REST APIs", "SOAP APIs", "Schema evolution", "Error handling", "Data engineering community", "Tech talks", "ML pipeline engineering", "Feature store design", "Data orchestration tools", "Infrastructure as Code" ], "toolProficiency" : [ "Apache Spark", "Databricks", "Apache Kafka", "Kafka Streams", "Kafka Connect", "Delta Lake", "GitLab", "Jenkins", "Docker", "Terraform", "Ansible", "Apache Airflow", "Prefect" ], "communicationSkills" : "Tech talks", "documentationSkills" : "Internal documentation", "continuousLearning" : "Training opportunities; Development opportunities", "problemSolvingSkills" : "Identify bottlenecks; Implement optimisations", "outcomesObjectives" : "Data products trusted; Data products fresh; Data products easy; Pipelines run reliably; No manual intervention; Codebase colleagues proud", "qualificationsBasic" : "3+ years experience Data Engineering, Hands-on Apache Spark, Hands-on Databricks, Practical Apache Kafka, Working knowledge Scala or Java, Experience designing SQL databases, Experience designing NoSQL databases, Experience building data lake environments, Experience integrating data via APIs, Working knowledge CI/CD tooling, Experience building Docker containers, Willingness to share knowledge, Professional English proficiency, Professional Polish proficiency", "qualificationsPreferred" : "Experience international environment, Experience multi-market environment, Exposure ML pipeline engineering, Exposure feature store design, Familiarity data orchestration tools, Experience Infrastructure as Code", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe's leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost's lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. Job Description At InPost, Data & AI is not a support function — it is the engine behind our decisions. We process billions of events daily across nine European markets, and our data platform is what makes that intelligence possible. As a Data Engineer in our Data & AI area, you will be one of the builders: designing the pipelines, streaming systems, and lake architectures that turn raw operational data into reliable, high-quality data products powering ML models, analytics, and business decisions. You will work in cross-functional squads alongside Data Scientists, Analytics Engineers, and Product Managers, shipping real data products — not internal tooling that no one sees. The scale is real, the data is complex, and the impact is immediate. Success looks like: data products that are trusted, fresh, and easy to consume; pipelines that run reliably at scale with no manual intervention; and a codebase that your colleagues are proud to contribute to. Main Activities: Data Platform & Lake Engineering: Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of structured and semi-structured data. You will work with both batch and streaming architectures, making deliberate decisions about latency, cost, and reliability trade-offs. Streaming Solutions: Build and operate real-time data streaming pipelines using Apache Kafka and its ecosystem (Kafka Streams, Kafka Connect). You will design event-driven architectures that support use cases ranging from operational monitoring to near-real-time ML feature generation. ETL/ELT Design and Maintenance: Architect and maintain ETL and ELT pipelines with a focus on data quality, idempotency, and observability. You will collaborate with data consumers to understand their requirements and translate them into durable, well-tested pipeline designs. Spark and Databricks Development: Develop distributed data processing applications using Apache Spark (PySpark, Scala), running on Databricks. You will apply Spark best practices — partitioning strategies, broadcast joins, incremental processing — to ensure jobs run efficiently at InPost's scale. Database Engineering: Design and manage both SQL and NoSQL databases used in our data products. This includes schema design, query optimisation, and selecting the right storage layer for a given access pattern — from Delta Lake and data warehouses to document stores. Cloud-Native Solutions: Build data solutions on cloud infrastructure (GCP, Azure, or AWS), leveraging managed services to reduce operational overhead while maintaining performance and cost efficiency. You will contribute to cloud architecture decisions within your squad. CI/CD and Engineering Excellence: Apply software engineering best practices to data pipelines: version control, automated testing, peer code review, and CI/CD using tools such as GitLab or Jenkins. You will treat pipeline code with the same rigour as application code. Performance Monitoring and Optimisation: Own the operational health of the data infrastructure and ETL processes you build. You will set up monitoring, respond to incidents, identify bottlenecks, and implement optimisations to ensure SLAs are met. API and System Integration: Integrate data from internal and external sources via REST and SOAP APIs, applying patterns for reliable ingestion, schema evolution, and error handling. Knowledge Sharing and Community: Actively contribute to InPost's data engineering community — through code reviews, internal documentation, tech talks, and mentoring. We believe that raising the technical bar is a shared responsibility. ## Qualifications Required: * At least 3 years of experience in a Data Engineering or similar role * Hands-on experience with Apache Spark (Streaming, Spark SQL, MLlib) and Databricks (PySpark, Scala) * Practical experience with Apache Kafka — including Kafka Streams and Kafka Connect * Proficiency in Python; working knowledge of Scala or Java * Experience designing and operating SQL databases (e.g., PostgreSQL, BigQuery, Spark SQL) and NoSQL databases (e.g., MongoDB, Cassandra, or similar) * Experience building and maintaining data lake environments (Delta Lake, Parquet, or equivalent) * Familiarity with cloud platforms (GCP, Azure, or AWS) and their managed data services * Experience integrating data via REST and/or SOAP APIs * Working knowledge of CI/CD tooling (GitLab CI, Jenkins, or equivalent) and software engineering practices (testing, versioning, code review) * Experience building and running Docker containers * Willingness to share knowledge and actively contribute to engineering best practices * Professional working proficiency in both English and Polis Nice to Have: * Experience in an international, multi-market environment * Exposure to ML pipeline engineering or feature store design * Familiarity with data orchestration tools (Apache Airflow, Prefect, or Databricks Workflows) * Experience with Infrastructure as Code (Terraform, Ansible) * Contributions to open-source data engineering projects ## Additional Information Why Join InPost? * The option to work from the office or 100% remotely * Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. * Fulfilling careers with a range of benefits and invests in providing training opportunities for their development. * Involvement in technology monitoring and choices * Your impact will be visible instantly and you will be making a difference in our users lives * We offer B2B type of cooperation", "summaryDescription" : "Data Engineer (m/f/d) at InPost. Skills: Data Lake Engineering, Streaming Solutions, ETL/ELT Design, Spark Development. Design data lake solutions. Build data lake solutions", "postedDate" : "2026-06-15T14:45:36.000", "createdAt" : "2026-06-15T21:32:00.119", "lastUpdated" : "2026-06-16T06:10:11.940", "ingestTimestamp" : "2026-06-15T21:32:00.119", "mongoId" : "6a304ef6f292fd229cee3de4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Batch processing", "Streaming processing", "Event-driven architecture", "Idempotency", "Observability", "Distributed data processing", "Incremental processing", "SQL databases", "NoSQL databases", "Data warehouses", "Document stores", "Cloud infrastructure", "Managed services", "Automated testing", "Peer code review", "CI/CD", "Version control", "Containerization", "Data Lake Engineering", "Streaming Solutions", "ETL/ELT Design", "Spark Development", "Data pipeline design", "Streaming architecture", "ETL design", "ELT design", "Schema design", "Query optimization", "Cloud architecture", "Software engineering practices", "Performance monitoring", "Incident response", "API integration", "Knowledge sharing", "Code reviews", "Mentoring", "Agile", "E-commerce enablement", "OOH e-commerce", "Parcel delivery", "Automated Parcel Machines", "Data products", "ML models", "Analytics", "Business decisions", "Batch architectures", "Streaming architectures", "Latency", "Cost", "Reliability", "Near-real-time ML", "Data quality", "Data consumers", "Spark best practices", "Partitioning strategies", "Broadcast joins", "Delta Lake", "Operational overhead", "Performance", "Cost efficiency", "Pipeline code", "Operational health", "ETL processes", "Monitoring", "Incidents", "Bottlenecks", "SLAs", "REST APIs", "SOAP APIs", "Schema evolution", "Error handling", "Data engineering community", "Tech talks", "ML pipeline engineering", "Feature store design", "Data orchestration tools", "Infrastructure as Code", "Apache Spark", "Databricks", "Apache Kafka", "Kafka Streams", "Kafka Connect", "GitLab", "Jenkins", "Docker", "Terraform", "Ansible", "Apache Airflow", "Prefect" ], "skillCount" : 89, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1021.8328, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3084daf292fd229c075b70", "title" : "Data Engineer (m/f/d)", "company" : "InPost", "industry" : "Package/Freight Delivery", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Engineer in Warsaw, Poland, adjusted for the logistics industry and remote work." }, "location" : "Warszawa, Województwo mazowieckie, Poland", "locations" : [ "Warszawa", "Województwo mazowieckie", "Poland" ], "timestamp" : "2026-06-16T11:18:16.063", "fingerprint" : "b35fce7c0bf238671ee6e48e9a953eed669f0a25ba80a7d820795e50faad728c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/InPost/744000132220110-data-engineer-m-f-d-", "externalId" : "744000132220110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Województwo mazowieckie", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Województwo mazowieckie, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Apache Spark, PySpark, Scala, Databricks, Spark SQL, MLlib, Apache Kafka, Kafka Streams, Kafka Connect, SQL, NoSQL, Delta Lake, Parquet, GCP, Azure, AWS, REST APIs, SOAP APIs, GitLab CI, Jenkins, Docker", "professionalSkills" : [ "Data pipeline design", "Streaming systems design", "Lake architectures design", "Event-driven architectures", "ETL design", "ELT design", "Schema design", "Query optimization", "Cloud architecture", "Code review", "Performance monitoring", "Incident response", "API integration", "Knowledge sharing" ], "hardSkillsList" : [ "Data processing", "Data quality", "Idempotency", "Observability", "Distributed processing", "Partitioning strategies", "Broadcast joins", "Incremental processing", "Database management", "Storage layer selection", "Managed services", "Cost efficiency", "Automated testing", "Versioning", "Error handling" ], "hardSkills" : [ { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Idempotency", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Distributed processing", "level" : "intermediate" }, { "name" : "Partitioning strategies", "level" : "intermediate" }, { "name" : "Broadcast joins", "level" : "intermediate" }, { "name" : "Incremental processing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Storage layer selection", "level" : "intermediate" }, { "name" : "Managed services", "level" : "intermediate" }, { "name" : "Cost efficiency", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Versioning", "level" : "intermediate" }, { "name" : "Error handling", "level" : "intermediate" } ], "majorSkills" : "Data Lake Engineering, Streaming Pipelines, ETL/ELT, Apache Spark, Apache Kafka", "majorSkillsList" : [ "Data Lake Engineering", "Streaming Pipelines", "ETL/ELT", "Apache Spark", "Apache Kafka" ], "coreResponsibilities" : "Design data lake solutions, Build data lake solutions, Maintain data lake solutions, Process large data volumes, Work with batch architectures, Work with streaming architectures, Build real-time pipelines, Operate real-time pipelines, Design event-driven architectures, Architect ETL pipelines, Maintain ETL pipelines, Architect ELT pipelines, Maintain ELT pipelines, Collaborate with data consumers, Translate requirements to designs, Develop distributed applications, Apply Spark best practices, Design SQL databases, Manage SQL databases, Design NoSQL databases, Manage NoSQL databases, Optimize query performance, Select storage layers, Build cloud data solutions, Contribute to cloud architecture, Apply software engineering practices, Use version control, Perform automated testing, Conduct peer code reviews, Use CI/CD tools, Own operational health, Set up monitoring, Respond to incidents, Identify bottlenecks, Implement optimisations, Integrate data via APIs, Apply ingestion patterns, Handle schema evolution, Handle error handling, Contribute to data community, Conduct code reviews, Write internal documentation, Give tech talks, Mentor colleagues", "teamCollaboration" : "Cross-functional squads; Work with Data Scientists; Work with Analytics Engineers; Work with Product Managers", "projectManagementSkills" : [ "CI/CD", "Agile" ], "domainKnowledge" : "E-commerce enablement; OOH e-commerce; Parcel delivery; Automated Parcel Machines; Data products; ML models; Analytics; Business decisions; Batch processing; Streaming processing; Near-real-time ML; Data quality; Idempotency; Observability; Data warehouses; Document stores; Cloud infrastructure; Managed services; Operational overhead; Cost efficiency; Pipeline code; Application code; Operational health; Data infrastructure; ETL processes; SLAs; Internal sources; External sources; Schema evolution; Error handling; Data engineering community", "domainList" : [ "e-commerce-enablement", "ooh-e-commerce", "parcel-delivery", "automated-parcel-machines", "data-products", "ml-models", "analytics", "business-decisions", "batch-processing", "streaming-processing", "near-real-time-ml", "data-quality", "idempotency", "observability", "data-warehouses", "document-stores", "cloud-infrastructure", "managed-services", "operational-overhead", "cost-efficiency", "pipeline-code", "application-code", "operational-health", "data-infrastructure", "etl-processes", "slas", "internal-sources", "external-sources", "schema-evolution", "error-handling", "data-engineering-community" ], "domainSpecificKnowledge" : [ "E-commerce enablement", "OOH e-commerce", "Parcel delivery", "Automated Parcel Machines", "Data products", "ML models", "Analytics", "Business decisions", "Batch processing", "Streaming processing", "Near-real-time ML", "Data quality", "Idempotency", "Observability", "Data warehouses", "Document stores", "Cloud infrastructure", "Managed services", "Operational overhead", "Cost efficiency", "Pipeline code", "Application code", "Operational health", "Data infrastructure", "ETL processes", "SLAs", "Internal sources", "External sources", "Schema evolution", "Error handling", "Data engineering community" ], "toolProficiency" : [ "Apache Spark", "Databricks", "Apache Kafka", "Kafka Streams", "Kafka Connect", "Delta Lake", "GitLab", "Jenkins", "Docker" ], "communicationSkills" : "Tech talks", "documentationSkills" : "Internal documentation", "continuousLearning" : "Training opportunities; Mentoring", "problemSolvingSkills" : "Bottleneck identification; Optimisation", "outcomesObjectives" : "Data products trusted; Data products fresh; Data products easy; Pipelines run reliably; No manual intervention; Colleagues proud to contribute", "qualificationsBasic" : "3+ years experience Data Engineering, Hands-on Apache Spark, Databricks experience, Practical Apache Kafka experience, Scala or Java proficiency, SQL databases experience, NoSQL databases experience, Data lake environments experience, Cloud platforms familiarity, REST or SOAP APIs integration, CI/CD tooling experience, Software engineering practices experience, Docker containers experience, Willingness to share knowledge, English and Polish proficiency", "qualificationsPreferred" : "Experience in international environment, Experience in multi-market environment, ML pipeline engineering exposure, Feature store design exposure, Data orchestration tools familiarity, Infrastructure as Code experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe's leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost's lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. Job Description At InPost, Data & AI is not a support function — it is the engine behind our decisions. We process billions of events daily across nine European markets, and our data platform is what makes that intelligence possible. As a Data Engineer in our Data & AI area, you will be one of the builders: designing the pipelines, streaming systems, and lake architectures that turn raw operational data into reliable, high-quality data products powering ML models, analytics, and business decisions. You will work in cross-functional squads alongside Data Scientists, Analytics Engineers, and Product Managers, shipping real data products — not internal tooling that no one sees. The scale is real, the data is complex, and the impact is immediate. Success looks like: data products that are trusted, fresh, and easy to consume; pipelines that run reliably at scale with no manual intervention; and a codebase that your colleagues are proud to contribute to. Main Activities: Data Platform & Lake Engineering: Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of structured and semi-structured data. You will work with both batch and streaming architectures, making deliberate decisions about latency, cost, and reliability trade-offs. Streaming Solutions: Build and operate real-time data streaming pipelines using Apache Kafka and its ecosystem (Kafka Streams, Kafka Connect). You will design event-driven architectures that support use cases ranging from operational monitoring to near-real-time ML feature generation. ETL/ELT Design and Maintenance: Architect and maintain ETL and ELT pipelines with a focus on data quality, idempotency, and observability. You will collaborate with data consumers to understand their requirements and translate them into durable, well-tested pipeline designs. Spark and Databricks Development: Develop distributed data processing applications using Apache Spark (PySpark, Scala), running on Databricks. You will apply Spark best practices — partitioning strategies, broadcast joins, incremental processing — to ensure jobs run efficiently at InPost's scale. Database Engineering: Design and manage both SQL and NoSQL databases used in our data products. This includes schema design, query optimisation, and selecting the right storage layer for a given access pattern — from Delta Lake and data warehouses to document stores. Cloud-Native Solutions: Build data solutions on cloud infrastructure (GCP, Azure, or AWS), leveraging managed services to reduce operational overhead while maintaining performance and cost efficiency. You will contribute to cloud architecture decisions within your squad. CI/CD and Engineering Excellence: Apply software engineering best practices to data pipelines: version control, automated testing, peer code review, and CI/CD using tools such as GitLab or Jenkins. You will treat pipeline code with the same rigour as application code. Performance Monitoring and Optimisation: Own the operational health of the data infrastructure and ETL processes you build. You will set up monitoring, respond to incidents, identify bottlenecks, and implement optimisations to ensure SLAs are met. API and System Integration: Integrate data from internal and external sources via REST and SOAP APIs, applying patterns for reliable ingestion, schema evolution, and error handling. Knowledge Sharing and Community: Actively contribute to InPost's data engineering community — through code reviews, internal documentation, tech talks, and mentoring. We believe that raising the technical bar is a shared responsibility. ## Qualifications Required: * At least 3 years of experience in a Data Engineering or similar role * Hands-on experience with Apache Spark (Streaming, Spark SQL, MLlib) and Databricks (PySpark, Scala) * Practical experience with Apache Kafka — including Kafka Streams and Kafka Connect * Proficiency in Python; working knowledge of Scala or Java * Experience designing and operating SQL databases (e.g., PostgreSQL, BigQuery, Spark SQL) and NoSQL databases (e.g., MongoDB, Cassandra, or similar) * Experience building and maintaining data lake environments (Delta Lake, Parquet, or equivalent) * Familiarity with cloud platforms (GCP, Azure, or AWS) and their managed data services * Experience integrating data via REST and/or SOAP APIs * Working knowledge of CI/CD tooling (GitLab CI, Jenkins, or equivalent) and software engineering practices (testing, versioning, code review) * Experience building and running Docker containers * Willingness to share knowledge and actively contribute to engineering best practices * Professional working proficiency in both English and Polis Nice to Have: * Experience in an international, multi-market environment * Exposure to ML pipeline engineering or feature store design * Familiarity with data orchestration tools (Apache Airflow, Prefect, or Databricks Workflows) * Experience with Infrastructure as Code (Terraform, Ansible) * Contributions to open-source data engineering projects ## Additional Information Why Join InPost? * The option to work from the office or 100% remotely * Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. * Fulfilling careers with a range of benefits and invests in providing training opportunities for their development. * Involvement in technology monitoring and choices * Your impact will be visible instantly and you will be making a difference in our users lives * We offer B2B type of cooperation", "summaryDescription" : "Data Engineer (m/f/d) at InPost. Skills: Data Lake Engineering, Streaming Pipelines, ETL/ELT, Apache Spark, Apache Kafka. Design data lake solutions. Build data lake solutions", "postedDate" : "2026-06-15T14:45:36.000", "createdAt" : "2026-06-16T01:39:54.750", "lastUpdated" : "2026-06-16T11:18:16.063", "ingestTimestamp" : "2026-06-16T01:39:54.750", "mongoId" : "6a3084daf292fd229c075b70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data processing", "Data quality", "Idempotency", "Observability", "Distributed processing", "Partitioning strategies", "Broadcast joins", "Incremental processing", "Database management", "Storage layer selection", "Managed services", "Cost efficiency", "Automated testing", "Versioning", "Error handling", "Data Lake Engineering", "Streaming Pipelines", "ETL/ELT", "Apache Spark", "Apache Kafka", "Data pipeline design", "Streaming systems design", "Lake architectures design", "Event-driven architectures", "ETL design", "ELT design", "Schema design", "Query optimization", "Cloud architecture", "Code review", "Performance monitoring", "Incident response", "API integration", "Knowledge sharing", "CI/CD", "Agile", "E-commerce enablement", "OOH e-commerce", "Parcel delivery", "Automated Parcel Machines", "Data products", "ML models", "Analytics", "Business decisions", "Batch processing", "Streaming processing", "Near-real-time ML", "Data warehouses", "Document stores", "Cloud infrastructure", "Operational overhead", "Pipeline code", "Application code", "Operational health", "Data infrastructure", "ETL processes", "SLAs", "Internal sources", "External sources", "Schema evolution", "Data engineering community", "Databricks", "Kafka Streams", "Kafka Connect", "Delta Lake", "GitLab", "Jenkins", "Docker" ], "skillCount" : 68, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1020.7646, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f774", "title" : "Section Lead ADAS Release & Delivery", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Section Lead in the Automotive industry in Beijing, China, adjusted for seniority and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "LSH Tower C, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T08:25:30.671", "fingerprint" : "3612cf42561bbd904a80bdb41a3f4f6ffe67ed8295816071bb35b4c05448b77f", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=894936", "externalId" : "894936", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "ADAS, System Integration, HiL, CANoe, ADTF, Mviz, OTX", "professionalSkills" : [ "Test strategy development", "Test plan development", "RASIC matrix development", "Team management", "Workload distribution", "Performance evaluations" ], "hardSkillsList" : [ "System Integration Testing", "Closed-loop execution", "Vehicle test campaigns", "Conformance testing" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching" ], "hardSkills" : [ { "name" : "System Integration Testing", "level" : "intermediate" }, { "name" : "Closed-loop execution", "level" : "intermediate" }, { "name" : "Vehicle test campaigns", "level" : "intermediate" }, { "name" : "Conformance testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" } ], "majorSkills" : "ASPICE SYS. 5, System Integration Testing", "majorSkillsList" : [ "ASPICE SYS. 5", "System Integration Testing" ], "coreResponsibilities" : "Define ASPICE SYS. 5 System Integration Test Strategy, Set 100% coverage targets, Define RASIC matrix, Define entry/exit criteria, Manage full test lifecycle, Design test cases, Execute HiL closed-loop, Manage vehicle test campaigns, Report QG readiness, Define RDC ADAS SI test, Implement traceability, Refine V&V, Drive HiL automation, Enforce SW freeze rule, Manage test environment qualification, Manage test resources, Coordinate BROP conformance testing, Align on open QM-labeled defects, Interface with ADAS system integration, Interface with safety team, Interface with QM, Interface with German represent RDC, Represent RDC in CCB, Represent RDC in Quality Gate reviews, Supervise team work progress, Adjust task priorities, Distribute workload, Ensure timely quality work, Report to Supervisor, Support senior manager in recruitment, Mentor team members, Coach team members, Enhance team skills, Enhance team capabilities, Prepare performance evaluations, Participate in performance evaluations, Guide team in addressing critical topics, Guide team in addressing issues, Devise effective solutions", "teamCollaboration" : "Interface with ADAS system integration; Interface with safety team; Interface with QM; Coordinate with stakeholders", "projectManagementSkills" : [ "ASPICE SYS. 5", "RASIC matrix", "Quality Gate reviews" ], "domainKnowledge" : "ADAS Domain; ASPICE SYS. 5; ISO 26262; SOTIF ISO 21448; BROP conformance", "domainList" : [ "adas-domain", "aspice-sys-5", "iso-26262", "sotif-iso-21448", "brop-conformance" ], "domainSpecificKnowledge" : [ "ADAS Domain", "ASPICE SYS. 5", "ISO 26262", "SOTIF ISO 21448", "BROP conformance" ], "toolProficiency" : [ "STARC", "Codebeamer", "Vizdock", "DAVT", "Diva", "NTS", "DWT", "NEST", "TATS" ], "communicationSkills" : "Reporting; Communicate to leads; Communicate to stakeholders", "documentationSkills" : "Test case design; Readiness reporting", "continuousLearning" : "Enhance team skills; Enhance team capabilities", "problemSolvingSkills" : "Devise effective solutions", "outcomesObjectives" : "Set 100% coverage targets; Achieve >60% HiL automation rate; Align on open QM-labeled defects", "qualificationsBasic" : "5 years working experience, ASPICE SYS. 5 system integration, OEM development processes, ADAS test toolchain experience, ISO 26262, SOTIF (ISO 21448), Project management skills, Spoken and written Chinese, Spoken and written English", "qualificationsPreferred" : "Master Degree preferred, German as a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: The ADAS system is one major strategic and technological target field within our MB passenger cars. The main target of ADAS system integration team is to lead ASPICE SYS.5 System Integration Testing (TLR2: TL5-TL8) for ADAS Domain, covering all customer functions from HiL bench through proving ground to real-vehicle validation. As Section Lead of ADAS Verification and Validation (ASPICE SYS.5, TLR2), responsible for: Define and own ASPICE SYS.5 System Integration Test Strategy and Plan; set 100% coverage targets (requirement, state, safety, variant, SOTIF), define RASIC matrix and entry/exit criteria per QGLead full test lifecycle: test case design in STARC, HiL closed-loop execution (TL5/TL6 via Vizdock/DAVT), vehicle test campaigns at proving ground and on-road (TL7/TL8), QG readiness reporting Define RDC ADAS SI test strategy; communicate to domain test leads to implement traceability (SYS.2 requirements to test cases to results to defects) Continuously refine V&V strategy; drive HiL automation rate (>60%); enforce SW freeze rule (T-3 days before track campaigns); manage test environment qualification. Manage test resources (HiL benches, proving ground vehicles, test house partners); coordinate BROP conformance testing (Diva, NTS, DWT, NEST, TATS, OTX) per release; align with QM on open QM-labeled defects before each QG Interface with ADAS system integration, safety team (ISO 26262 / SOTIF ISO 21448), QM, and German HQ; represent RDC in CCB and Quality Gate reviews as SI Test Lead Supervise and support team work progress, adjust task priorities, distribute workload, and ensure timely quality work, reporting to the Supervisor in regular basis. Support senior manager in team recruitment according to the business needs. Mentoring and coaching to team members, enhance team skills and capabilities. Prepare and participate in performance evaluations to ensure the team member’s development. Guide the team in addressing critical topics and issues, working closely with team members to devise effective solutions. Coordinate with different stakeholders to drive and deliver best MBOS for our customer Qualifications: Education Bachelors Degree in electric engineering, software engineering, computer science or similar majors, Master Degree preferred Experience At least 5 years working experience in the ADAS System Integration & validation relevant areas Experience of OEM development processes and development cycles Specific Knowledge Deep knowledge of ASPICE SYS.5 system integration testing; experienced in test strategy, test plan, and RASIC matrix development Hands-on ADAS test toolchain experience: STARC/Codebeamer, HiL (Vizdock, DAVT), CANoe, ADTF/Mviz; BROP conformance suite knowledge; ISO 26262 and SOTIF (ISO 21448) awareness; strong project management skills Excellent communication and organizational skills Team player with open-minded work attitude and ability to adapt to new situations Good command of spoken and written Chinese and English (German as a plus) Mercedes-Benz Group China Ltd.", "summaryDescription" : "Section Lead ADAS Release & Delivery at Mercedes-Benz Group China Ltd.. Skills: ASPICE SYS. 5, System Integration Testing. Define ASPICE SYS. 5 System Integration Test Strategy. Set 100% coverage targets", "createdAt" : "2026-06-14T01:28:00.581", "lastUpdated" : "2026-06-15T08:25:30.671", "ingestTimestamp" : "2026-06-14T01:28:00.581", "mongoId" : "6a191e7758b93c861e39f774", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "System Integration Testing", "Closed-loop execution", "Vehicle test campaigns", "Conformance testing", "Leadership", "Mentoring", "Coaching", "ASPICE SYS. 5", "Test strategy development", "Test plan development", "RASIC matrix development", "Team management", "Workload distribution", "Performance evaluations", "RASIC matrix", "Quality Gate reviews", "ADAS Domain", "ISO 26262", "SOTIF ISO 21448", "BROP conformance", "STARC", "Codebeamer", "Vizdock", "DAVT", "Diva", "NTS", "DWT", "NEST", "TATS" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 980.6927, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055bef292fd229cf21238", "title" : "Senior Data Engineer (f/m/d)", "company" : "ZEAL Network SE", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in Hamburg, Germany, adjusted for industry and company size." }, "location" : "Hamburg", "locations" : [ "Hamburg" ], "timestamp" : "2026-06-16T10:44:21.906", "fingerprint" : "c669e1187091917e7343735106cb7740bbba7e044d3b8f47be48bd91ea5466dd", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/zeal-network/b0f1da9a-e6e3-4989-b043-5d4e7ce9a54e/application", "externalId" : "b0f1da9a-e6e3-4989-b043-5d4e7ce9a54e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Kotlin, Golang, SQL, Kafka, Redshift, Snowflake, BigQuery, Dbt", "professionalSkills" : [ "Technical requirements translation", "DataOps strategy" ], "hardSkillsList" : [ "Data processing", "Data storage", "Data optimization", "Data quality enhancement", "Data architecture enhancement" ], "hardSkills" : [ { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "Data optimization", "level" : "intermediate" }, { "name" : "Data quality enhancement", "level" : "intermediate" }, { "name" : "Data architecture enhancement", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Data Solutions Development, DataOps", "majorSkillsList" : [ "Data Engineering", "Data Solutions Development", "DataOps" ], "coreResponsibilities" : "Collect company data, Process company data, Store company data, Optimize company data, Develop data solutions, Identify automation opportunities, Create DataOps strategy, Champion best practices, Enhance data quality, Enhance data architecture, Embrace latest technologies, Embrace latest methodologies", "teamCollaboration" : "Collaborating with stakeholders; Work closely with Data Scientists", "projectManagementSkills" : [ "Agile Software Development" ], "domainKnowledge" : "Digital lotteries; Modern Data Stack; Data Mesh; GitOps", "domainList" : [ "digital-lotteries", "modern-data-stack", "data-mesh", "gitops" ], "domainSpecificKnowledge" : [ "Digital lotteries", "Modern Data Stack", "Data Mesh", "GitOps" ], "toolProficiency" : [ "Git", "Claude Code" ], "communicationSkills" : "English communication", "continuousLearning" : "Annual development budget", "innovationCreativity" : "Push boundaries of innovation", "qualificationsBasic" : "Proficiency in Agile Software Development, Proficient in Python, Kotlin, and Golang, Proficient in ML frameworks and libraries, Experience architecting production-grade data solutions, Skilled in SQL and big data tools, Proficient in Cloud Data Warehouse systems, Familiar with Modern Data Stack, Familiar with Data Mesh, Familiar with GitOps", "qualificationsPreferred" : "Experienced with dbt, Confidence in working with AI tools like Claude Code", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ZEAL Network SE is an international group shaping the future of digital lotteries and dream-driven experiences. As Germany’s leading online lottery provider through LOTTO24 and Tipp24, and a partner of Spain’s ONCE, ZEAL combines innovation, technology, and entertainment to inspire millions of customers. With ventures such as Freiheit+, Traumhausverlosung, Traumautoverlosung and ZEAL Ventures, the company also invests in new business models and emerging e-commerce brands. Driven by a diverse team of 350+ professionals, ZEAL fosters a collaborative, ambitious culture focused on turning dreams into reality. THE ROLE: As a Senior Data Engineer, you'll be at the forefront of modern data tech, driving the development of our data ecosystem. Here's what you'll dive into: YOUR TASKS: - Seamlessly collect, process, store, and optimize company data to unlock its full power. - Develop cutting-edge data solutions from the ground up, collaborating with various stakeholders from design to deployment. - Identify automation opportunities for existing and new applications to enhance efficiency. - Create a DataOps strategy and champion best practices to ensure data reliability and scalability. - Innovate and enhance data quality and architecture within your scope. - Push the boundaries of innovation by embracing the latest technologies and methodologies. WHAT YOU OFFER US: - Proficiency in Agile Software Development methodologies. - Comfortable with Python, Kotlin, and Golang, and eager to explore new data technologies. - Proficient in ML frameworks and libraries, able to work closely with Data Scientists to optimize data solutions. - Technical Chops: Experience in architecting and developing production-grade data solutions. - Passionate about working with large-scale datasets, highly skilled in SQL and big data tools like Kafka. - Proficient in Cloud Data Warehouse systems such as Redshift, Snowflake, or BigQuery. - Familiar with Modern Data Stack, Data Mesh, GitOps, and ideally experienced with dbt. - Ability to translate business needs into technical requirements effectively. - Confidence in working with AI tools like Claude Code are a nice to have. - Strong communication skills in English with a collaborative spirit. WHAT WE OFFER: - State-of-the-art technologies and an agile environment (Check our Tech Radar: https://lotto24.github.io/tech-radar/) - A modern, dynamic culture grounded in the success of a leading-edge e-commerce company. - A talented team of ambitious, like-minded colleagues where your knowledge and ideas truly make an impact. - Ongoing personal growth, supported by an annual development budget of €1,500 to invest in your professional development. - Trust and autonomy, no micromanagement, just confidence in your ability to deliver and excel. - Flexible work options with a hybrid setup focused on results. - Unlimited vacation days in addition to your yearly 30-day vacation allowance. - Opportunity for workations abroad using our WorkFlex tool. - Monthly mobility allowance of €30 to use on the mobility option of your choice (e.g., the Deutschlandticket), plus access to a company bike leasing program. - Company pension scheme, provided in partnership with Degura, to support your future financial security. - Subsidized EGYM WELLPASS membership, with a contribution of only €25 per month, giving you access to a wide range of gyms and sports options across Germany. - Quarterly company events, along with regular team activities and informal gatherings, a favorite being our Healthy Tuesday lunches or Treat Thursdays in the office!", "summaryDescription" : "Senior Data Engineer (f/m/d) at ZEAL Network SE. Skills: Data Engineering, Data Solutions Development, DataOps. Collect company data. Process company data", "createdAt" : "2026-06-16T00:31:09.745", "lastUpdated" : "2026-06-16T10:44:21.906", "ingestTimestamp" : "2026-06-16T00:31:09.745", "mongoId" : "6a3055bef292fd229cf21238", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data processing", "Data storage", "Data optimization", "Data quality enhancement", "Data architecture enhancement", "Data Engineering", "Data Solutions Development", "DataOps", "Technical requirements translation", "DataOps strategy", "Agile Software Development", "Digital lotteries", "Modern Data Stack", "Data Mesh", "GitOps", "Git", "Claude Code" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 962.27875, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca53b74d8ee00a09b550a", "title" : "Data & Analytics Engineer", "company" : "True Classic", "industry" : "E-Commerce", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data & Analytics Engineer in Calabasas, CA, adjusted for mid-seniority and e-commerce industry." }, "location" : "Calabasas, California, United States", "locations" : [ "Calabasas", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:02:24.906", "fingerprint" : "4cb8ccd16e8ac76cf43a896155e7386d14131af5150e59a8e8bdadf542736a81", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trueclassicteesllc/jobs/5238831008", "externalId" : "5238831008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calabasas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1446643,-118.6440970" } ], "locationText" : "Calabasas, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize data models and schemas, Implement ETL/ELT processes, Build and manage data warehouses and data lakes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis to drive business insights, Ensure data quality and integrity, Collaborate with stakeholders to understand data needs, Automate data processes, Monitor and troubleshoot data systems", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize data models and schemas", "postedDate" : "2026-06-14T19:16:27.116", "createdAt" : "2026-06-14T19:16:27.116", "lastUpdated" : "2026-06-16T01:02:24.906", "ingestTimestamp" : "2026-06-14T19:16:27.116", "mongoId" : "6a2ca53b74d8ee00a09b550a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture", "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 937.8312, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d81bb74d8ee00a0c11735", "title" : "Design Release Engineer – Air Induction and Exhaust Systems", "company" : "General Motors", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Design Release Engineer in Warren, MI, adjusted for the automotive industry and a large company size." }, "location" : "Warren, Michigan, United States of America", "locations" : [ "Warren, Michigan, United States of America" ], "timestamp" : "2026-06-16T05:58:50.142", "fingerprint" : "a22083a7d7436f918d100d36c2a95a17ddefc08ad392e86c09e0af845185f015", "source" : "workday", "language" : "en", "applyUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/Design-Release-Engineer---Air-Induction-and-Exhaust-Systems_JR-202609505", "externalId" : "JR-202609505", "industryFunction" : { }, "locationPoint" : "50.13171,-97.54738", "structuredLocations" : [ { "city" : "Warren", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.4932575,-83.0062746" } ], "locationText" : "Warren, Michigan, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Job Description** **At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.** **Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.** **The Role** General Motors is seeking a driven Air Induction and Exhaust System Design Release Engineer to lead the development, integration, and production launch of advanced air induction and exhaust systems for next-generation vehicle programs. This role combines technical expertise, program leadership, and supplier management to deliver high-performance components and systems that meet rigorous safety, quality, and timing standards. You will guide your product development team through the full Vehicle Development Process, from defining requirements to designing and releasing a complex air induction and/or exhaust subsystem into production. Responsibilities include utilizing engineering tools and processes to develop robust, manufacturable components and systems, while driving milestone achievement through disciplined and proactive program management. You’ll coach and lead suppliers to ensure flawless execution of deliverables, and apply a high level of independent judgment, creativity, and initiative to solve complex challenges and continuously improve product quality and performance. **What You 'll Do (Responsibilities)** * Lead the Product Development Team (PDT) for air induction and/or exhaust systems. * Manage the design, release, and integration of air induction and exhaust systems into GM vehicles with precision and timeliness. * Oversee pre-production builds, ensuring properties are shipped test-ready and aligned with program milestones. * Drive completion of Design Validation using analytical tools such as FEA, modal analysis, and virtual builds. * Identify root causes of design issues and implement effective solutions. * Define and develop technical specifications including CTS, SSTS, SOR, and ICD documents. * Refine design criteria and typical sections using math data to support robust engineering decisions. * Conduct trade off studies and recommend program direction based on cost, mass, and timing. * Lead and support technical reviews with suppliers and internal teams. * Coordinate cross-functional activities with purchasing, manufacturing, and supplier quality teams. * Monitor warranty data and address emerging product issues. * Translate lessons learned into best practices and contribute to continuous improvement. * Stay current with emerging technologies and identify opportunities for innovation. * Communicate effectively with internal and external stakeholders to ensure alignment and transparency. **Your Skills & Abilities (Required Qualifications)** * Bachelor’s degree in Engineering. * 2+ years of relevant engineering experience. * Strong grasp of engineering theory, design principles, and system integration. * High analytical aptitude for solving complex, non-routine problems. * Strong interpersonal skills for effective team and supplier engagement. * Familiarity with manufacturing processes and engineering operations. * Familiarity with CAD and CAE tools. * Understanding of Specification and Release systems. **What Will Give You a Competitive Edge (Preferred Qualifications)** * Prior experience in air induction and/or exhaust systems design, release, development, or analysis. * DFSS (Design for Six Sigma) Certification. #LI-KM2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will only be provided for this role by passing the Motor Vehicle Report review. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting [**Total Rewards resources**](https://search-careers.gm.com/en/working-at-gm/total-rewards). **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit [**How we Hire**](https://search-careers.gm.com/en/how-we-hire). **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, [**email**](mailto:Careers.Accommodations@GM.com)**** us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "Design Release Engineer – Air Induction and Exhaust Systems at General Motors", "postedDate" : "2026-06-13T20:01:59.710", "createdAt" : "2026-06-14T20:01:59.691", "lastUpdated" : "2026-06-16T05:58:50.142", "ingestTimestamp" : "2026-06-14T20:01:59.691", "mongoId" : "6a2d81bb74d8ee00a0c11735", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/Design-Release-Engineer---Air-Induction-and-Exhaust-Systems_JR-202609505", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 931.02875, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306986f292fd229cfc8901", "title" : "Senior Data & AI Engineer (m/f)", "company" : "ARHS Group", "industry" : "Information Technology And Services", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data & AI Engineer in Luxembourg, Luxembourg, adjusted for lead seniority and the technology industry." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "certifications" : [ "AWS/Azure certification" ], "timestamp" : "2026-06-16T09:42:07.752", "fingerprint" : "130c56e285dd17ed06d81102ec712001b16e2d89f56f716aec753f6b03926751", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132155575-senior-data-ai-engineer-m-f-", "externalId" : "744000132155575", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, REST API, Transformers, LLMs, RAG architectures, Vector search, OCR pipelines, Chatbot design, Azure, AWS, Functions, Glue, Logic Apps, AI Services, Docker, GitHub Actions, Terraform, Ansible, CI/CD pipelines, Edge inference, Jetson Orin, Xavier NX, Ollama, ONNX runtime, Java, NET, TypeScript, Spring Boot", "professionalSkills" : [ "System design", "Technical strategy", "MLOps", "Reproducibility", "Ethical AI use", "Agile", "DevOps" ], "hardSkillsList" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "Model training", "Model deployment", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI/ML engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "AI systems", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Event-driven ecosystems", "level" : "intermediate" }, { "name" : "Serverless ecosystems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, LLMs, MLOps", "majorSkillsList" : [ "Machine Learning", "LLMs", "MLOps" ], "coreResponsibilities" : "Lead AI solution design, Develop AI solutions, Deploy AI solutions, Scale AI solutions, Transform data into AI platforms, Guide technical strategy, Mentor engineering teams, Act as ML team lead, Define engineering standards, Ensure consistency across projects, Ensure reusability across projects, Align AI practices with company goals, Architect AI/ML pipelines, Oversee AI/ML pipelines, Lead LLM solution development, Customize LLM solutions, Meet privacy constraints, Meet latency constraints, Meet performance constraints, Design NLP pipelines, Supervise NLP pipeline implementation, Deliver production-grade AI services, Build high-availability APIs, Drive AI workload deployment, Deploy to cloud platforms, Deploy to edge devices, Enable real-time inference, Own infrastructure automation, Automate ML environments, Architect AI components, Integrate AI components, Ensure observability, Ensure resilience, Ensure scalability, Provide technical leadership, Mentor junior engineers, Mentor mid-level engineers, Foster best practices culture", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "NLP; Computer vision; LLMs; Edge devices; Cloud infrastructure; Machine Learning; Hybrid cloud; On-prem infrastructure; Information extraction; Document understanding; Event-driven ecosystems; Serverless ecosystems; MLOps; Reproducibility; Ethical AI", "domainList" : [ "nlp", "computer-vision", "llms", "edge-devices", "cloud-infrastructure", "machine-learning", "hybrid-cloud", "on-prem-infrastructure", "information-extraction", "document-understanding", "event-driven-ecosystems", "serverless-ecosystems", "mlops", "reproducibility", "ethical-ai" ], "domainSpecificKnowledge" : [ "NLP", "Computer vision", "LLMs", "Edge devices", "Cloud infrastructure", "Machine Learning", "Hybrid cloud", "On-prem infrastructure", "Information extraction", "Document understanding", "Event-driven ecosystems", "Serverless ecosystems", "MLOps", "Reproducibility", "Ethical AI" ], "toolProficiency" : [ "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Jetson Orin", "Xavier NX", "Ollama", "ONNX runtime" ], "communicationSkills" : "English; French", "qualificationsBasic" : "Minimum 5 years of hands-on experience in AI/ML engineering, Demonstrated ability to lead and deliver complex AI initiatives, Proficiency in Python, Proficiency in REST API architecture, Proficiency in performance tuning, Proficiency in secure API development, Proficiency in Transformers, Proficiency in LLMs, Proficiency in RAG architectures, Proficiency in prompt tuning, Proficiency in model compression, Proficiency in vector search, Proficiency in OCR pipelines, Proficiency in chatbot design, Deep expertise in Azure, Deep expertise in AWS, Proficiency in Docker, Proficiency in GitHub Actions, Proficiency in Infrastructure-as-Code, Proficiency in CI/CD pipelines, Proficiency in Edge inference, Proficiency in Ollama/ONNX runtime, Proficiency in hybrid deployments, Proficiency in workload orchestration, Demonstrated leadership in cross-functional teams, Mentoring and coaching experience, Autonomous decision-making capability, Capable of strategic technical decision-making, Commitment to building and sharing internal knowledge", "qualificationsPreferred" : "Interest or background in traditional software development, AWS/Azure certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. As a Senior Data & AI Engineer (m/f) at ARHS Group part of Accenture, you will lead the design, development, and deployment of advanced AI solutions across NLP, computer vision, and LLMs - scaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure, high-performing AI-driven platforms, guiding technical strategy and mentoring engineering teams along the way. Beyond project delivery, you will be the go-to expert and team lead for all Machine Learning matters, responsible for guiding others and consolidating organizational know-how around ML. THE WORK: * Act as the team lead for the ML domain : define engineering standards, ensure consistency and reusability across projects, and align AI practices with company goals. * Architect and oversee AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, and post-deployment monitoring * Lead the development and customization of LLM-based solutions , including open-source models (e.g., Mistral, LLaMA) on hybrid cloud/on-prem infrastructure, ensuring privacy, latency, and performance constraints are met. * Design and supervise the implementation of NLP pipelines for information extraction, classification, semantic search, and document understanding. * Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks. * Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices(e.g., NVIDIA Jetson Orin, Xavier NX) with real-time inference capabilities. * Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform, Ansible, Docker. * Architect and integrate AI components into event-driven and serverless ecosystems (e.g., Azure Functions, Event Grid), ensuring observability, resilience, and scalability. * Provide technical leadership and mentorship to junior/mid-level engineers, fostering a culture of best practices in MLOps, reproducibility, and ethical AI use. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. The work location for this role is an ARHS – Part of Accenture office. HERE’S WHAT YOU’LL NEED: * Minimum 5 years of hands-on experience in AI/ML engineering , with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems , and proficency in: * Programming & APIs: Python, REST API architecture, performance tuning, secure API development. * NLP & ML: Transformers, LLMs (Mistral, LLaMA, etc.), RAG architectures, prompt tuning, model compression, vector search, OCR pipelines, chatbot design. * Cloud Platforms : Deep expertise in Azure and/or AWS (Functions, Glue, Logic Apps, AI Services). * MLOps & Infrastructure: Docker, GitHub Actions, Infrastructure-as-Code (Terraform ,Ansible), CI/CD pipelines. * AI System Integration : Edge inference (Jetson Orin, Xavier NX), Ollama/ONNX runtime, hybrid deployments, and workload orchestration. * Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus. * Any AWS/Azure certification is optional but valued. * Strong communication in English or French(both is a plus). * Demonstrated leadership in cross-functional teams, including mentoring and coaching. * Autonomous and capable of strategic technical decision-making. * Passion for building production-ready AI, with a bias for clean, documented, and maintainable solutions. * Familiarity with Agile and DevOps cultures. * Commitment to building and sharing internal knowledge, enabling collective team growth.", "summaryDescription" : "Senior Data & AI Engineer (m/f) at ARHS Group. Skills: Machine Learning, LLMs, MLOps. Lead AI solution design. Develop AI solutions", "postedDate" : "2026-06-15T09:49:20.000", "createdAt" : "2026-06-16T00:13:25.946", "lastUpdated" : "2026-06-16T09:42:07.752", "ingestTimestamp" : "2026-06-16T00:13:25.946", "mongoId" : "6a306986f292fd229cfc8901", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "Model training", "Model deployment", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems", "Leadership", "Mentoring", "Machine Learning", "LLMs", "MLOps", "System design", "Technical strategy", "Reproducibility", "Ethical AI use", "Agile", "DevOps", "NLP", "Computer vision", "Edge devices", "Cloud infrastructure", "Hybrid cloud", "On-prem infrastructure", "Information extraction", "Document understanding", "Ethical AI", "AWS/Azure certification", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Jetson Orin", "Xavier NX", "Ollama", "ONNX runtime" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 927.5876, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307371f292fd229c00211c", "title" : "Senior Data & AI Engineer (m/f)", "company" : "ARHS Group", "industry" : "Information Technology And Services", "salary" : { "min" : 110000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data & AI Engineer in Luxembourg, Luxembourg, adjusted for lead seniority and the technology industry." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "certifications" : [ "AWS/Azure certification" ], "timestamp" : "2026-06-16T14:27:48.027", "fingerprint" : "1eef43c60f433a1a5cad2ef367c00b52a60fac55050f4014b5999bc489220c10", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132155575-senior-data-ai-engineer-m-f-", "externalId" : "744000132155575", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, FastAPI, Transformers, LLMs, Mistral, LLaMA, RAG architectures, Vector search, OCR, Azure, AWS, Functions, Glue, Logic Apps, AI Services, Docker, GitHub Actions, Terraform, Ansible, CI/CD, Jetson Orin, Xavier NX, Ollama, ONNX runtime, Java, NET, TypeScript, Spring Boot", "professionalSkills" : [ "System design", "Technical strategy", "Team lead", "MLOps", "Reproducibility", "Ethical AI use" ], "hardSkillsList" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "NLP pipelines", "Information extraction", "Classification", "Document understanding", "Production-grade AI services", "Real-time inference", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems", "Observability", "Resilience", "Scalability", "Prompt tuning", "Model compression", "Hybrid deployments", "Workload orchestration" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI/ML engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "AI systems", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "NLP pipelines", "level" : "intermediate" }, { "name" : "Information extraction", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Document understanding", "level" : "intermediate" }, { "name" : "Production-grade AI services", "level" : "intermediate" }, { "name" : "Real-time inference", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Event-driven ecosystems", "level" : "intermediate" }, { "name" : "Serverless ecosystems", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Resilience", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Prompt tuning", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Hybrid deployments", "level" : "intermediate" }, { "name" : "Workload orchestration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "LLMs, MLOps, Cloud Platforms", "majorSkillsList" : [ "LLMs", "MLOps", "Cloud Platforms" ], "coreResponsibilities" : "Lead design, development, and deployment of AI solutions, Shape intelligent systems, Transform raw data into AI-driven platforms, Guide technical strategy, Mentor engineering teams, Act as team lead for ML domain, Define engineering standards, Ensure consistency and reusability across projects, Align AI practices with company goals, Architect AI/ML pipelines, Oversee AI/ML pipelines, Lead development of LLM-based solutions, Customize LLM-based solutions, Design NLP pipelines, Supervise implementation of NLP pipelines, Deliver production-grade AI services, Drive deployment of AI workloads, Own infrastructure automation, Architect AI components, Integrate AI components, Provide technical leadership, Mentor junior/mid-level engineers, Foster culture of best practices", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "NLP; Computer vision; LLMs; Edge devices; Cloud infrastructure; Machine Learning; MLOps; Reproducibility; Ethical AI; Event-driven ecosystems; Serverless ecosystems; Hybrid cloud; On-prem infrastructure; Real-time inference", "domainList" : [ "nlp", "computer-vision", "llms", "edge-devices", "cloud-infrastructure", "machine-learning", "mlops", "reproducibility", "ethical-ai", "event-driven-ecosystems", "serverless-ecosystems", "hybrid-cloud", "on-prem-infrastructure", "real-time-inference" ], "domainSpecificKnowledge" : [ "NLP", "Computer vision", "LLMs", "Edge devices", "Cloud infrastructure", "Machine Learning", "MLOps", "Reproducibility", "Ethical AI", "Event-driven ecosystems", "Serverless ecosystems", "Hybrid cloud", "On-prem infrastructure", "Real-time inference" ], "toolProficiency" : [ "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Ollama", "ONNX runtime", "Jetson Orin", "Xavier NX" ], "communicationSkills" : "English; French", "qualificationsBasic" : "Minimum 5 years of hands-on experience in AI/ML engineering, Demonstrated ability to lead and deliver complex AI initiatives, Proficiency in Python, Proficiency in REST API architecture, Proficiency in performance tuning, Proficiency in secure API development, Proficiency in Transformers, Proficiency in LLMs, Proficiency in RAG architectures, Proficiency in prompt tuning, Proficiency in model compression, Proficiency in vector search, Proficiency in OCR pipelines, Proficiency in chatbot design, Deep expertise in Azure, Deep expertise in AWS, Proficiency in Docker, Proficiency in GitHub Actions, Proficiency in Infrastructure-as-Code, Proficiency in CI/CD pipelines, Proficiency in Edge inference, Proficiency in Ollama/ONNX runtime, Proficiency in hybrid deployments, Proficiency in workload orchestration, Demonstrated leadership in cross-functional teams, Mentoring and coaching experience, Autonomous and capable of strategic technical decision-making, Commitment to building and sharing internal knowledge", "qualificationsPreferred" : "Interest or background in traditional software development, AWS/Azure certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. As a Senior Data & AI Engineer (m/f) at ARHS Group part of Accenture, you will lead the design, development, and deployment of advanced AI solutions across NLP, computer vision, and LLMs - scaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure, high-performing AI-driven platforms, guiding technical strategy and mentoring engineering teams along the way. Beyond project delivery, you will be the go-to expert and team lead for all Machine Learning matters, responsible for guiding others and consolidating organizational know-how around ML. THE WORK: * Act as the team lead for the ML domain : define engineering standards, ensure consistency and reusability across projects, and align AI practices with company goals. * Architect and oversee AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, and post-deployment monitoring * Lead the development and customization of LLM-based solutions , including open-source models (e.g., Mistral, LLaMA) on hybrid cloud/on-prem infrastructure, ensuring privacy, latency, and performance constraints are met. * Design and supervise the implementation of NLP pipelines for information extraction, classification, semantic search, and document understanding. * Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks. * Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices(e.g., NVIDIA Jetson Orin, Xavier NX) with real-time inference capabilities. * Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform, Ansible, Docker. * Architect and integrate AI components into event-driven and serverless ecosystems (e.g., Azure Functions, Event Grid), ensuring observability, resilience, and scalability. * Provide technical leadership and mentorship to junior/mid-level engineers, fostering a culture of best practices in MLOps, reproducibility, and ethical AI use. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. The work location for this role is an ARHS – Part of Accenture office. HERE’S WHAT YOU’LL NEED: * Minimum 5 years of hands-on experience in AI/ML engineering , with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems , and proficency in: * Programming & APIs: Python, REST API architecture, performance tuning, secure API development. * NLP & ML: Transformers, LLMs (Mistral, LLaMA, etc.), RAG architectures, prompt tuning, model compression, vector search, OCR pipelines, chatbot design. * Cloud Platforms : Deep expertise in Azure and/or AWS (Functions, Glue, Logic Apps, AI Services). * MLOps & Infrastructure: Docker, GitHub Actions, Infrastructure-as-Code (Terraform ,Ansible), CI/CD pipelines. * AI System Integration : Edge inference (Jetson Orin, Xavier NX), Ollama/ONNX runtime, hybrid deployments, and workload orchestration. * Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus. * Any AWS/Azure certification is optional but valued. * Strong communication in English or French(both is a plus). * Demonstrated leadership in cross-functional teams, including mentoring and coaching. * Autonomous and capable of strategic technical decision-making. * Passion for building production-ready AI, with a bias for clean, documented, and maintainable solutions. * Familiarity with Agile and DevOps cultures. * Commitment to building and sharing internal knowledge, enabling collective team growth.", "summaryDescription" : "Senior Data & AI Engineer (m/f) at ARHS Group. Skills: LLMs, MLOps, Cloud Platforms. Lead design, development, and deployment of AI solutions. Shape intelligent systems", "postedDate" : "2026-06-15T09:49:20.000", "createdAt" : "2026-06-16T01:35:57.034", "lastUpdated" : "2026-06-16T14:27:48.027", "ingestTimestamp" : "2026-06-16T01:35:57.034", "mongoId" : "6a307371f292fd229c00211c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "NLP pipelines", "Information extraction", "Classification", "Document understanding", "Production-grade AI services", "Real-time inference", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems", "Observability", "Resilience", "Scalability", "Prompt tuning", "Model compression", "Hybrid deployments", "Workload orchestration", "Leadership", "Mentoring", "LLMs", "MLOps", "Cloud Platforms", "System design", "Technical strategy", "Team lead", "Reproducibility", "Ethical AI use", "Agile", "DevOps", "NLP", "Computer vision", "Edge devices", "Cloud infrastructure", "Machine Learning", "Ethical AI", "Hybrid cloud", "On-prem infrastructure", "AWS/Azure certification", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Ollama", "ONNX runtime", "Jetson Orin", "Xavier NX" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 922.57745, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 918.79724, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25e12f74d8ee00a01df84f", "title" : "Process Engineer (Release Train Engineer) Mid-Level & Senior", "company" : "Boeing", "salary" : { "min" : 93500.0, "max" : 126500.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Oklahoma City, OK", "locations" : [ "USA - Oklahoma City, OK", "United States of America" ], "certifications" : [ "SAFe Program Consultant Certification" ], "timestamp" : "2026-06-11T22:29:56.633", "fingerprint" : "dacb014fdaefa6f4c1edf8b81ab2e3b4f542091f83a4aead884c601942b61577", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Oklahoma-City-OK/Process-Engineer--Release-Train-Engineer--Mid-Level---Senior_JR2026513339", "externalId" : "JR2026513339", "locationPoint" : "35.46756,-97.51643", "structuredLocations" : [ { "city" : "Oklahoma City", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.4729886,-97.5170536" } ], "locationText" : "Oklahoma City, Oklahoma, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Science", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Level & Senior", "technicalSkills" : "Jira", "professionalSkills" : [ "Agile methodologies", "Scaled Agile Framework", "Project execution", "Performance indicators", "Strategy alignment" ], "hardSkillsList" : [ "Agile methodologies", "Scaled Agile Framework", "Project management", "Process optimization", "Metrics collection", "Data coherency" ], "hardSkills" : [ { "name" : "Agile methodologies", "level" : "intermediate" }, { "name" : "Scaled Agile Framework", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Metrics collection", "level" : "intermediate" }, { "name" : "Data coherency", "level" : "intermediate" } ], "majorSkills" : "Agile methodologies, Release Train Engineer, Process improvement", "majorSkillsList" : [ "Agile methodologies", "Release Train Engineer", "Process improvement" ], "coreResponsibilities" : "Provide guidance and support to ART, Assist with managing timelines, Assist with resolving problems, Coach team members on agile methodologies, Assure correct individuals own, mitigate, and communicate issues, Escalate and track impediments, Provide input on resourcing, Manage and optimize flow of value through ART, Manage and optimize flow of value through Solution, Assure managers have insight into project execution metrics, Assure managers have insight into performance indicators, Assist with collecting metrics, Assist with reporting metrics, Assist with tracking metrics, Assist with understanding metrics, Assist with taking action on metrics, Monitor data coherency for the ART, Engage Product Managers to maintain coherency, Engage Scrum Masters to maintain coherency, Engage Product Owners to maintain coherency, Elevate coherency issues to engineering leaders, Establish annual calendars for Planning Increments, Communicate annual calendars for Planning Increments, Facilitate PI planning events, Facilitate periodic synchronization meetings, Help ensure strategy and execution alignment, Drive relentless improvement via Inspect and Adapt, Assess agility level of the ART, Help ART improve agility, Help Scrum Masters protect team from undue interruptions, Help team define popup processes, Help team reinforce popup processes, Work with other RTEs to drive standard implementations", "teamCollaboration" : "Cross-functional teams; Scrum Masters; Product Owners; Product Managers; Engineering leaders; Other RTEs", "projectManagementSkills" : [ "Agile", "Scaled Agile Framework", "Jira" ], "domainKnowledge" : "Agile environment; Software development life cycle; Hardware/software integration", "domainList" : [ "agile-environment", "software-development-life-cycle", "hardware-software-integration" ], "domainSpecificKnowledge" : [ "Agile environment", "Software development life cycle", "Hardware/software integration" ], "toolProficiency" : [ "Jira" ], "problemSolvingSkills" : "Resolve problems; Mitigate issues; Mitigate risks; Address bottlenecks; Root cause analysis", "specialRequirements" : "U. S. Citizenship required, Interim U. S. Secret Clearance Post-Start required, Final U. S. Secret Clearance Post-Start required", "outcomesObjectives" : "Produce high-quality products; Ensure continuous delivery; Ensure continuous improvement; Drive towards performance to plan; Execution according to schedule", "qualificationsBasic" : "Bachelor of Science degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent, Experience using Jira or other project management tool, 3+ years working with Scaled Agile Framework or Agile methodologies, 3+ years of experience working with cross-functional teams, 3+ years of experience leading a team or project, Ability to obtain a U.S. Security Clearance, U. S. Person as defined by 22 C. F. R. §120.62", "qualificationsPreferred" : "5 or more years of higher education and/or related work experience, Experience in aerospace industry or defense contracting, Experience as an RTE or Scrum Master, Familiar with software development life cycle, Familiar with hardware/software integration, Agile certification, SAFe Program Consultant Certification, Demonstrated ability to facilitate large planning and solutioning sessions, Experience with project management in engineering environment, Experience working in Agile organization using Scrum, XP, Kanban, SAFe, or other scaling models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Process Engineer (Release Train Engineer) Mid-Level & Senior **Company:** The Boeing Company Boeing Global Services (BGS) is seeking a **Process Engineer (Release Train Engineer) Mid-Level & Senior** to join the Government Training Engineering (GTE) team in **Oklahoma City, OK**. This position will focus on supporting engineering teams across the OKC Training Systems Agile Release Train, working with Scrum Masters, Product Owners, Product Managers and all stakeholders to ensure continuous delivery and improvement in the OKC GTE ART. The successful candidate will work directly with the engineering team and program management to help oversee the portfolio and drive towards performance to plan, in addition to execution according to schedule. **Position Responsibilities:** * Provide guidance and support to ART in an agile environment to produce high-quality products * Assists with managing timelines, resolving problems, and coaching team members on agile methodologies * Assure the correct individuals on the ART own, mitigate, and communicate issues and risks * Escalate and track impediments & provide input on resourcing to address critical bottlenecks * Manage and optimize the flow of value through the ART and Solution Train using various tools * Assure managers have insight into project execution metrics and performance indicators by assisting with collecting, reporting, tracking, understanding, and taking action on metrics * Monitor data coherency for the ART and engage Product Managers, Scrum Masters, and Product Owners to maintain coherency, elevating to engineering leaders as appropriate * Establish and communicate the annual calendars for Planning Increments (PIs) * Facilitate the PI planning events and periodic synchronization meetings * Work with Product Management, Product Owners, and other stakeholders to help ensure strategy and execution alignment * Drive relentless improvement via Inspect and Adapt workshops; assess the agility level of the ART and help them improve * Help Scrum Masters protect team from undue interruptions (i.e. help team define and reinforce popup processes) * Work with other RTEs to drive to standard implementations of ART processes as appropriate **Basic Qualifications (Required Skills/Experience):** * Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * Experience using a project management tool like Jira or other * 3+ years working with Scaled Agile Framework or Agile methodologies * 3+ years of experience working with cross-functional teams * 3+ years of experience leading a team or project **Preferred Qualifications (Desired Skills/Experience):** * 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) (Level 4) * Experience in the aerospace industry or defense contracting industry * Experience as an RTE or Scrum Master for multiple teams in cross-functional organization * Experience leading teams in delivering quality products * Familiar with software development life cycle and hardware/software integration * Agile certification such as SAFe Program Consultant Certification * Demonstrated ability to facilitate large planning and solutioning sessions * Experience with project management in an engineering environment * Experience working in an Agile organization using Scrum, XP, Kanban, Scaled Agile Framework (SAFe), or other scaling models **Conflict of Interest:** Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) process. **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay & Benefits:** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Mid-Level (Level 3): $93,500- $126,500 Summary Pay Range Senior (Level 4): $113,900- $154,100 **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Process Engineer (Release Train Engineer) Mid-Level & Senior at Boeing. Skills: Agile methodologies, Release Train Engineer, Process improvement. Provide guidance and support to ART. Assist with managing timelines", "postedDate" : "2026-06-09T09:36:58.566", "createdAt" : "2026-06-11T09:36:58.493", "lastUpdated" : "2026-06-11T22:29:56.633", "ingestTimestamp" : "2026-06-11T09:36:58.493", "mongoId" : "6a25e12f74d8ee00a01df84f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Oklahoma-City-OK/Process-Engineer--Release-Train-Engineer--Mid-Level---Senior_JR2026513339", "salaryAnnualMin" : 93500, "salaryAnnualMax" : 126500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Agile methodologies", "Scaled Agile Framework", "Project management", "Process optimization", "Metrics collection", "Data coherency", "Release Train Engineer", "Process improvement", "Project execution", "Performance indicators", "Strategy alignment", "Agile", "Jira", "Agile environment", "Software development life cycle", "Hardware/software integration", "SAFe Program Consultant Certification" ], "skillCount" : 17, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 912.6108, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3055d5f292fd229cf22158", "title" : "Release Engineer", "company" : "Zelis", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Release Engineer in India, adjusted for mid-seniority and the healthcare industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T13:11:54.250", "fingerprint" : "97a18d2fc5282233bc34c64d93631df7f0e43d10bd6c5fc5c9958fbc4c7ff272", "source" : "workday", "language" : "en", "applyUrl" : "https://zelis.wd1.myworkdayjobs.com/ZelisCareers/job/India-Hyderabad/Release-Engineer_JR111002", "externalId" : "JR111002", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**About Us** Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture. **Why We Do What We Do** In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system. Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture. **Position Overview** Job Title: Release Engineer Job Summary: Key Responsibilities: **Release Management:** Handle the release process for all changes related to data pipelines, data platforms, and ML workflows. Collaborate with stakeholders, enshure adherance to defined processes, and coordinate deployment efforts across various time zones. **Cross-Geo Collaboration:** Collaborate closely with teams across multiple geographical regions to coordinate the release of updates, ensuring consistent communication, and maintaining alignment on deployment strategies and schedules. **CI/CD Pipeline Implementation:** Build and maintain CI/CD pipelines to automate the deployment of data platform components, ETL processes, and machine learning models. Implement version control and automated testing to ensure smooth and reliable releases. **Collaboration:** Work with Data Engineers, ML Engineers, DevOps, and IT teams to align on deployment strategies. Ensure that updates are seamlessly integrated into the data platform without disrupting the production environment. Deployment Automation: Develop and maintain tools and scripts to automate the release of data-related code, infrastructure, and configuration changes. Leverage Infrastructure as Code (IaC) practices using tools like Terraform and Ansible. **Incident and Risk Management:** Collaborate with incident management teams to troubleshoot release failures, rollback deployments when necessary, and conduct root-cause analysis for incidents related to new releases. **Environment Management:** Manage multiple environments (e.g., dev, test, staging, production), ensuring consistency across them. Implement tools to streamline environment creation and resource management. **Documentation and Runbooks:** Create and maintain documentation, including release notes, deployment procedures, and troubleshooting guides, to ensure repeatability and clarity in the release process. Monitoring and Post-Release Support: Monitor the health of deployed releases, and proactively identify performance or functionality issues in production environments. Provide Level 2 (L2) and Level 3 (L3) support in collaboration with the Data Operations team. **Qualifications:** Education: Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field. **Experience:** Proven experience in release management, DevOps, or software engineering roles. Strong experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps or similar) and version control systems (Git). Familiarity with cloud platforms like AWS or Azure and data platforms such as Snowflake. Hands-on experience with scripting languages (Python, Shell) for automating deployment and release processes. **Skills:** Solid understanding of data engineering concepts, including data ingestion, ETL pipelines, and data storage systems. Knowledge of containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Ansible) tools. Strong troubleshooting and problem-solving abilities in production environments. **Cross-Geo Coordination:** Demonstrated experience in collaborating with teams across multiple regions and time zones, ensuring smooth communication and coordination in a distributed environment. **Soft Skills:** Strong communication skills, with a track record of cross-functional collaboration. Detail-oriented and able to manage complex release schedules in a fast-paced environment. **Commitment to Diversity, Equity, Inclusion, and Belonging** At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day. **Equal Employment Opportunity** Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. **Accessibility Support** We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability and require reasonable accommodation with any part of the application and/or interview process, please email [_talentacquisition @zelis.com_](mailto:talentacquisition@zelis.com?subject=Accessibility%20Support%20Request).", "summaryDescription" : "Release Engineer at Zelis", "postedDate" : "2026-06-10T03:47:25.295", "createdAt" : "2026-06-16T03:47:25.261", "lastUpdated" : "2026-06-16T13:11:54.250", "ingestTimestamp" : "2026-06-16T03:47:25.261", "mongoId" : "6a3055d5f292fd229cf22158", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://zelis.wd1.myworkdayjobs.com/ZelisCareers/job/India-Hyderabad/Release-Engineer_JR111002", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 890.4134, "daysOld" : 6, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4952beec4dd3d93181a", "title" : "Software Development Engineer II, Fleet Automation and Release Orchestration (FAROS)", "company" : "Amazon Data Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:56:09.615", "fingerprint" : "e8e9f023e72a7dc6eb0debf6c26f48c0ed7bdfbb3884a9f397947c967c0590e0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385633/apply", "externalId" : "0068a210-3122-48fa-a2b3-99eff380782d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Operational procedures" ], "hardSkillsList" : [ "Software development", "System design", "Object Oriented Design" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Object Oriented Design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Fleet Automation, Release Orchestration, Network Automation", "majorSkillsList" : [ "Fleet Automation", "Release Orchestration", "Network Automation" ], "coreResponsibilities" : "Solve complex problems, Shape service definition, Develop best practices, Improve operational procedures, Deliver iterative impact, Shape automation future, Develop DevOps tasks, Develop automation tasks, Use process to collect data, Rationalize data from sources, Measure success with data, Take responsibility for quality, Prevent faults impacting customers, Develop software systems, Automate Amazon's network, Work with Network Engineering teams, Ensure smooth software roll-outs, Identify platform issues, Troubleshoot platform issues, Escalate issues to teams, Learn cloud-computing system software, Design cloud-computing system software, Build cloud-computing system software, Gather customer requirements, Generate technical designs, Carry projects through lifecycle, Develop enabling products, Operate robust software, Deploy software safely, Deploy software securely, Deploy software reliably, Mentor other engineers, Provide training, Provide support for technologies, Develop automation systems, Deploy operating systems, Deploy configurations, Deploy firmware, Deploy features, Identify potential issues, Contain potential issues, Build resilient solutions, Build scalable solutions, Enhance deployment reliability, Reduce production defects", "teamCollaboration" : "Software Development teams; Network Engineering teams; Customers; Leadership; Senior peers; Cross-organizational boundaries", "domainKnowledge" : "Global networks; Network infrastructure; Data Centers; Cloud computing", "domainList" : [ "global-networks", "network-infrastructure", "data-centers", "cloud-computing" ], "domainSpecificKnowledge" : [ "Global networks", "Network infrastructure", "Data Centers", "Cloud computing" ], "innovationCreativity" : "Invent new ways of operating", "problemSolvingSkills" : "Troubleshoot recurring platform issues", "outcomesObjectives" : "Deliver iterative impact for customers; Continue to outperform expectations", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, 1+ years software development experience, 1+ years large-scale software applications experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Automate the future of global networks: Control deployment changes across millions of devices, monitor performance at unprecedented scale, and thrive in a team where your voice matters. Ready to engineer the backbone of tomorrow's internet? The AWS Core Networking Organization is looking for a Software Development Engineer to join our Network Product Development (NPD) org. The Engineer will work hand-in-hand with Software Development and Network Engineering teams to automate and invent new ways of operating Amazon's network. This role will interact with customers, leadership and senior peers. This role will develop best practices, improve operational procedures, use a proactive mindset, deliver iterative impact for customers and help drive this same culture across the team. AWS Core Networking team is focused on building Data Centers and the network that allows Data Centers to function efficiently. They own the solutions that allow racks to be aggregated and Data Centers to be interconnected. Core Networking's goal is to balance efficiency, performance and reliability to allow customers access to their applications and data. If you are interested in designing and supporting enterprise-scale infrastructure, we'd love for you to apply! Come join us if you want to test your limits and tackle technical challenges that you won't see anywhere else. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse org of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, applied scientist and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities You will solve complex and ambiguous problems, efficiently and with high-quality. You will play a pivotal role in shaping the definition, vision, design, roadmap, development, and operationalization of customer-facing services. You will be given an outcome and the freedom to set the direction based on data driven decisions. You will be part of a startup with the backing of a large company. In this role, you'll contribute to critical and highly-visible function within the AWS business. You will work alongside other talented builders, and across multiple teams. You have the opportunity to hire and shape the team to continue to outperform expectations. You will have a large impact on AWS and the cloud computing industry. You’ll also: • Part of the team that shapes the automation future in networking. • Develop DevOps and automation tasks for test infrastructure. • Use and develop tools and process that collect & rationalize data from different sources and frameworks that reduce workloads. • Use data to measure success and take responsibility for the quality of your service and, regardless of their source; Strive to prevent faults from impacting your customers. • Develop best in class software systems for automating Amazon's network. • Work closely with our Network Engineering teams to ensure fast and smooth software roll-outs. • Identify and troubleshoot recurring platform issues with effective escalation to senior-level engineering teams. • Learn, design, and build cloud-computing system software for a diverse set of customers. A day in the life You will be a hands-on technical contributor. You will work with customers to gather requirements and generate technical designs, and you will carry the project through all the software lifecycle stages. You’ll develop products that enable builders to develop and operate robust, high-quality software and safely, securely, and reliably deploy it. You will use your strong leadership and communication skills to mentor other engineers and provide training and support for our technologies. You will have access to senior leadership and engineering staff. About the team The FAROS (Fleet Automation and Release Orchestration Services) team leads critical initiatives that power AWS's network infrastructure deployment and reliability. We develop intelligent automation systems that seamlessly deploy operating systems, configurations, firmware and features across AWS's global datacenter network. Our innovative anomaly detection capabilities help safeguard network stability by proactively identifying and containing potential issues. As a cornerstone of AWS's networking infrastructure, we collaborate across organizational boundaries to build resilient, scalable solutions that enhance deployment reliability while reducing production defects. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer II, Fleet Automation and Release Orchestration (FAROS) at Amazon Data Services, Inc.. Skills: Fleet Automation, Release Orchestration, Network Automation. Solve complex problems. Shape service definition", "postedDate" : "2026-06-13T01:34:43.977", "createdAt" : "2026-06-13T01:34:43.977", "lastUpdated" : "2026-06-15T01:56:09.615", "ingestTimestamp" : "2026-06-13T01:34:43.977", "mongoId" : "69d5e4952beec4dd3d93181a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385633/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Object Oriented Design", "Leadership", "Mentoring", "Fleet Automation", "Release Orchestration", "Network Automation", "Operational procedures", "Global networks", "Network infrastructure", "Data Centers", "Cloud computing" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 872.6202, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca42974d8ee00a09b06c1", "title" : "Senior Data / Analytics Engineer", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:08:33.890", "fingerprint" : "c7d74f7b3f5b9e144d0e12e1191ebf69a4b087a5101032152837ca84c9251e4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4249713009", "externalId" : "4249713009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "workMode" : "remote" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Statistical modeling" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay updated with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with specific ML frameworks, Experience with cloud platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Location: NYC preferred or Remote | Full-time Experience: 5-8+ years in analytics engineering, modern data stack architecture, or data platform engineering Compensation: $150,000 DOE + bonus About Us Metro Vein Centers is a rapidly expanding healthcare organization with 70+ clinics across 8 states. We are a highly data-driven business operating at the intersection of healthcare, performance marketing, operations, and technology. As the organization has scaled rapidly, so has the complexity of our data ecosystem. We are now entering the next phase of maturity: building a scalable, governed, AI-ready data foundation that can support the future growth of the business. We are looking for a Senior Analytics Engineer to help lead that evolution. About the Role This is a foundational role within the Tech & Data organization, reporting directly to the Director of Tech & Data. You will help modernize and scale our data architecture across marketing, operations, finance, sales, and clinical systems while maintaining continuity for existing reporting, analytics, and business operations. This role is ideal for someone who thrives in high-growth environments and enjoys bringing structure, reliability, governance, and scalability to complex and evolving data ecosystems. You will play a central role in rebuilding and organizing our data foundation, establishing standards and architecture patterns, improving transformation and modeling practices, and helping create a modern healthcare data platform designed for long-term scale and AI-enabled workflows. This is not a pure backend engineering role. We are looking for someone who combines strong analytics engineering and warehouse architecture experience with practical business judgment and modern data stack expertise. What You’ll Own Data Architecture & Modernization Help design and implement a scalable modern data architecture within Google BigQuery Rebuild and organize fragmented data structures into standardized, maintainable models Establish naming conventions, modeling standards, lineage, and governance frameworks Help separate and structure sensitive vs non-sensitive data appropriately in a HIPAA-conscious environment Partner with leadership to define long-term warehouse and transformation architecture strategy Improve scalability and maintainability without disrupting existing business operations Analytics Engineering & Data Modeling Own and expand our dbt transformation layer and modeling practices Build clean, scalable transformation pipelines and business logic layers Create reliable curated datasets for analytics, reporting, operational workflows, and AI initiatives Standardize KPI logic and reduce duplicated transformation logic across systems Develop testing, QA, and documentation standards for data models and pipelines Improve data quality, observability, and reliability across the warehouse Data Pipelines & Platform Operations Build, maintain, and optimize ingestion and transformation pipelines across internal and third-party systems Work across platforms including: Google BigQuery dbt Fivetran Portable Improvado HubSpot Tableau Google Cloud Platform Troubleshoot pipeline failures, schema drift, integration issues, and data discrepancies Improve monitoring, documentation, and operational stability across the data stack AI-Ready Data Infrastructure Help build structured, reliable, AI-ready datasets and systems Partner with Tech & Data leadership on long-term AI infrastructure readiness Support future AI-enabled workflows, automation initiatives, and operational tooling Contribute to scalable data design practices that support evolving AI use cases across the business Cross-Functional Collaboration Partner closely with analysts, marketing, operations, finance, and technology stakeholders Support analysts by improving foundational data models and reducing engineering burden on analytics resources Collaborate with IT and leadership on governance, access, and long-term platform maturity Participate in architectural planning and technical roadmap discussions What You Bring Required Experience 5-8+ years in analytics engineering, data engineering, or modern data stack environments Strong expertise in SQL and warehouse-based data transformation workflows Hands-on experience with dbt and modern ETL workflows Deep experience working within Google BigQuery or comparable cloud data warehouses Proficiency with SFTP-based file transfer workflows, including key-based authentication, scheduled transfers, and error handling Experience designing scalable data models and transformation layers Experience working with complex operational and business systems data Strong understanding of data governance, documentation, testing, and QA practices Experience building and maintaining production-grade data pipelines Strong systems thinking and architectural judgment Ability to balance long-term architecture improvements with short-term operational stability Preferred Experience Experience with: Fivetran Portable Improvado Tableau HubSpot Google Cloud Platform Experience in healthcare or HIPAA-conscious environments Experience supporting marketing, operational, or revenue-focused analytics ecosystems Familiarity with AI-enabled data workflows and AI-ready platform design Experience helping mature or rebuild fragmented data environments Familiarity with Jira and collaborative technical project management workflows What Success Looks Like Within 12 months, this person will have helped: Establish scalable architecture and modeling standards across the warehouse Mature and expand the dbt transformation layer Improve documentation, lineage, governance, and data reliability Organize fragmented datasets into scalable, maintainable structures Improve separation and governance of sensitive vs non-sensitive data Reduce operational friction and engineering burden across the analytics ecosystem Build a more scalable and AI-ready data foundation for the future growth of the organization What We Offer Competitive compensation and bonus structure High ownership and autonomy Opportunity to help shape the long-term data architecture of a rapidly scaling organization Smart, collaborative, highly driven teammates Direct impact on operational performance, growth, and patient experience Opportunity to help build the next generation of healthcare data infrastructure and AI enablement at scale Benefits to Support Your Wellbeing & Lifestyle Full-time team members at Metro Vein Centers are eligible for: Medical, Dental, and Vision Insurance 401(k) Paid Time Off (PTO) + Paid Company Holidays Company-Paid Life Insurance Short-Term Disability Insurance Employee Assistance Program (EAP) Career Growth & Development Opportunities Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $150,000—$150,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Senior Data / Analytics Engineer at Metro Vein Centers. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:23.010", "createdAt" : "2026-06-14T19:16:23.010", "lastUpdated" : "2026-06-16T00:08:33.890", "ingestTimestamp" : "2026-06-14T19:16:23.010", "mongoId" : "6a2ca42974d8ee00a09b06c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Data science", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 867.85834, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307371f292fd229c00211b", "title" : "Young Graduate Data & AI Engineer (m/f)", "company" : "ARHS", "industry" : "Information Technology And Services", "salary" : { "min" : 52000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level Data & AI Engineers in Luxembourg, adjusted for the technology industry and company size." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "timestamp" : "2026-06-16T13:41:43.227", "fingerprint" : "f0aae7c4a6869814ce8621ce93ae93fcff05a8446851047a8c427cb0666b6585", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132161436-young-graduate-data-ai-engineer-m-f-", "externalId" : "744000132161436", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "state" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.5999681,6.1342493" } ], "locationText" : "Luxembourg, Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, NLP, Computer vision, Large Language Models, Machine learning, AI, APIs, FastAPI, Azure, AWS, Cloud-native architectures, Serverless architectures, Event-driven architectures, DevOps, Version control, Automation, Mistral, LLaMA, Java, NET, TypeScript, Spring Boot", "professionalSkills" : [ "Software engineering", "Data preparation", "Model experimentation", "Deployment", "Monitoring", "Information extraction", "Text classification", "Document enrichment", "Chatbot development", "API development", "Cloud deployment", "Scalable software engineering", "Secure deployment" ], "hardSkillsList" : [ "Machine learning fundamentals", "REST APIs", "Backend service development", "Collaborative software development", "Prompt engineering", "Retrieval-Augmented Generation", "Document understanding", "Infrastructure-as-Code" ], "softSkillsList" : [ "Analytical mindset", "Problem-solving attitude" ], "hardSkills" : [ { "name" : "Machine learning fundamentals", "level" : "intermediate" }, { "name" : "REST APIs", "level" : "intermediate" }, { "name" : "Backend service development", "level" : "intermediate" }, { "name" : "Collaborative software development", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Retrieval-Augmented Generation", "level" : "intermediate" }, { "name" : "Document understanding", "level" : "intermediate" }, { "name" : "Infrastructure-as-Code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical mindset" }, { "name" : "Problem-solving attitude" } ], "majorSkills" : "Machine Learning, NLP, Cloud Deployment", "majorSkillsList" : [ "Machine Learning", "NLP", "Cloud Deployment" ], "coreResponsibilities" : "Support development of AI and machine learning pipelines, Prepare data, Experiment with models, Deploy models, Monitor models, Contribute to implementation of LLM-based solutions, Assist in building NLP solutions, Develop and expose ML models through APIs, Participate in AI workload deployment on cloud platforms, Support integration of AI services into architectures, Contribute to testing of AI solutions, Contribute to documentation of AI solutions, Contribute to continuous improvement of AI solutions, Learn and apply good engineering practices", "teamCollaboration" : "Experienced engineers; Project teams; Senior team members; Colleagues", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "AI engineering; Cloud technologies; Applied machine learning; LLMs; NLP; Document intelligence; Cloud deployment; Scalable software engineering; Computer vision; On-premises environments; Edge environments; Information extraction; Text classification; Semantic search; Document enrichment; Chatbot development; Cloud-native architectures; Serverless architectures; Event-driven architectures; Vector databases; Prompt engineering; Retrieval-Augmented Generation; Document understanding", "domainList" : [ "ai-engineering", "cloud-technologies", "applied-machine-learning", "llms", "nlp", "document-intelligence", "cloud-deployment", "scalable-software-engineering", "computer-vision", "on-premises-environments", "edge-environments", "information-extraction", "text-classification", "semantic-search", "document-enrichment", "chatbot-development", "cloud-native-architectures", "serverless-architectures", "event-driven-architectures", "vector-databases", "prompt-engineering", "retrieval-augmented-generation", "document-understanding" ], "domainSpecificKnowledge" : [ "AI engineering", "Cloud technologies", "Applied machine learning", "LLMs", "NLP", "Document intelligence", "Cloud deployment", "Scalable software engineering", "Computer vision", "On-premises environments", "Edge environments", "Information extraction", "Text classification", "Semantic search", "Document enrichment", "Chatbot development", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures", "Vector databases", "Prompt engineering", "Retrieval-Augmented Generation", "Document understanding" ], "toolProficiency" : [ "Git", "Docker", "GitHub Actions", "Terraform", "Ansible", "Mistral", "LLaMA" ], "communicationSkills" : "English; French", "documentationSkills" : "Documentation habits; Documentation of AI solutions", "continuousLearning" : "Willingness to learn new AI and cloud technologies", "problemSolvingSkills" : "Problem-solving attitude", "qualificationsBasic" : "Bachelor's or Master's degree, Academic, internship, or project experience in AI, data science, machine learning, or software engineering, Good knowledge of Python, Basic understanding of REST APIs, Basic understanding of backend service development, Familiarity with Git, Familiarity with collaborative software development practices, Understanding of machine learning fundamentals, Exposure to NLP, transformers, embeddings, or Large Language Models, Good communication skills in English or French", "qualificationsPreferred" : "Interest in prompt engineering, Interest in Retrieval-Augmented Generation, Interest in chatbot development, Interest in OCR, Interest in document understanding, Experience with academic, personal, or internship projects involving AI/ML, Awareness of cloud platforms, Awareness of Docker, Awareness of CI/CD, Awareness of GitHub Actions, Awareness of Infrastructure-as-Code concepts, Interest in learning how AI solutions are deployed, monitored, and maintained in production environments, Vector databases knowledge, Semantic search knowledge, Embeddings knowledge, Event-driven architectures knowledge, Traditional software development experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. At ARHS Group part of Accenture we are looking for a motivatedrecent graduate with a strong interest in AI engineering, cloud technologies, and applied machine learning. The ideal candidate combines technical curiosity with a hands-on mindset and is eager to grow by contributing to real-world AI projects involving LLMs, NLP, document intelligence, cloud deployment, and scalable software engineering. As a Young Graduate Data & AI Engineer (m/f), you will contribute to the design, development, and deployment of intelligent data and AI solutions using technologies such as NLP, computer vision, and Large Language Models. You will work closely with experienced engineers and project teams to transform data into practical, secure, and scalable AI-driven solutions, while growing your technical expertise across cloud, on-premises, and edge environments. THE WORK: * Support the development of AI and machine learning pipelines covering data preparation, model experimentation, deployment, and monitoring. * Contribute to the implementation of LLM-based solutions, including the use of open-source models such as Mistral or LLaMA, under the guidance of senior team members. * Assist in building NLP solutions for use cases such as information extraction, text classification, semantic search, document enrichment, and chatbot development. * Help develop and expose ML models through APIs using Python frameworks such as FastAPI or equivalent technologies. * Participate in AI workload deployment on cloud platforms such as Azure or AWS. * Support the integration of AI services into cloud-native, serverless, or event-driven architectures. * Contribute to testing, documentation, and continuous improvement of AI solutions. * Learn and apply good engineering practices related to DevOps, version control, automation, and secure deployment. The work location for this role is an ARHS – Part of Accenture office. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. HERE’S WHAT YOU’LL NEED: * Candidates must have completed a Bachelor's or Master's degree in Data Science, Artificial Intelligence, Computer Science, Machine Learning , Analytics, or a related field. * A first academic, internship, or project experience in AI, data science, machine learning, or software engineering is expected. Programming & APIs * Good knowledge of Python. Basic understanding of REST APIs and backend service development. * Familiarity with Git and collaborative software development practices. AI, NLP & Machine Learning * Understanding of machine learning fundamentals. * Exposure to NLP, transformers, embeddings, or Large Language Models. * Interest in prompt engineering, Retrieval-Augmented Generation, chatbot development, OCR, or document understanding. * Experience with academic, personal, or internship projects involving AI/ML is highly valued. Cloud & Engineering Practices * Awareness of cloud platforms. * Awareness of Docker, CI/CD, GitHub Actions, or Infrastructure-as-Code concepts such as Terraform or Ansible. * Interest in learning how AI solutions are deployed, monitored, and maintained in production environments. Soft Skills * Good communication skills in English or French. * Curiosity and willingness to learn new AI and cloud technologies. * Good documentation habits. * Analytical mindset and problem-solving attitude. * Ability to work in a team and receive guidance from more experienced colleagues. * Interest in Agile, DevOps, and collaborative delivery practices. BONUS POINTS IF YOU HAVE: * Vector databases, semantic search, and embeddings knowledge/ * Event-driven architectures such as Azure Functions, Service Bus, or Event Grid. * Traditional software development using Java, .NET, TypeScript, Spring Boot, or similar technologies.", "summaryDescription" : "Young Graduate Data & AI Engineer (m/f) at ARHS. Skills: Machine Learning, NLP, Cloud Deployment. Support development of AI and machine learning pipelines. Prepare data", "postedDate" : "2026-06-15T10:07:45.000", "createdAt" : "2026-06-16T01:39:47.254", "lastUpdated" : "2026-06-16T13:41:43.227", "ingestTimestamp" : "2026-06-16T01:39:47.254", "mongoId" : "6a307371f292fd229c00211b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Machine learning fundamentals", "REST APIs", "Backend service development", "Collaborative software development", "Prompt engineering", "Retrieval-Augmented Generation", "Document understanding", "Infrastructure-as-Code", "Analytical mindset", "Problem-solving attitude", "Machine Learning", "NLP", "Cloud Deployment", "Software engineering", "Data preparation", "Model experimentation", "Deployment", "Monitoring", "Information extraction", "Text classification", "Document enrichment", "Chatbot development", "API development", "Cloud deployment", "Scalable software engineering", "Secure deployment", "Agile", "DevOps", "AI engineering", "Cloud technologies", "Applied machine learning", "LLMs", "Document intelligence", "Computer vision", "On-premises environments", "Edge environments", "Semantic search", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures", "Vector databases", "Git", "Docker", "GitHub Actions", "Terraform", "Ansible", "Mistral", "LLaMA" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 865.4011, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306986f292fd229cfc8900", "title" : "Young Graduate Data & AI Engineer (m/f)", "company" : "ARHS", "industry" : "Information Technology And Services", "salary" : { "min" : 52000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Data & AI Engineer in Luxembourg, Luxembourg, adjusted for the technology industry and company size." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "timestamp" : "2026-06-16T10:58:10.610", "fingerprint" : "68dd84d7bac0a37bde0c58f13092716b53666b80461bac1b7762c288ff8463ea", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132161436-young-graduate-data-ai-engineer-m-f-", "externalId" : "744000132161436", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "state" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.5999681,6.1342493" } ], "locationText" : "Luxembourg, Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, NLP, Computer vision, Large Language Models, FastAPI, Azure, AWS, Docker, CI/CD, GitHub Actions, Terraform, Ansible, Java, NET, TypeScript, Spring Boot", "professionalSkills" : [ "Software development", "Data science", "Security management", "Machine learning", "Cloud deployment", "Scalable software engineering", "Information extraction", "Text classification", "Semantic search", "Document enrichment", "Chatbot development", "API development", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures", "Version control", "Secure deployment" ], "hardSkillsList" : [ "AI engineering", "Applied machine learning", "Data preparation", "Model experimentation", "Model deployment", "Model monitoring", "LLM implementation", "Prompt engineering", "Retrieval-Augmented Generation", "Document understanding", "OCR", "ML model exposure", "Cloud platforms awareness", "Infrastructure-as-Code concepts" ], "softSkillsList" : [ "Analytical mindset", "Problem-solving attitude" ], "hardSkills" : [ { "name" : "AI engineering", "level" : "intermediate" }, { "name" : "Applied machine learning", "level" : "intermediate" }, { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Model experimentation", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "LLM implementation", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Retrieval-Augmented Generation", "level" : "intermediate" }, { "name" : "Document understanding", "level" : "intermediate" }, { "name" : "OCR", "level" : "intermediate" }, { "name" : "ML model exposure", "level" : "intermediate" }, { "name" : "Cloud platforms awareness", "level" : "intermediate" }, { "name" : "Infrastructure-as-Code concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical mindset" }, { "name" : "Problem-solving attitude" } ], "majorSkills" : "Machine Learning, Cloud Technologies, LLMs, NLP", "majorSkillsList" : [ "Machine Learning", "Cloud Technologies", "LLMs", "NLP" ], "coreResponsibilities" : "Support AI/ML pipeline development, Prepare data for models, Experiment with models, Deploy models, Monitor models, Contribute to LLM solution implementation, Assist in building NLP solutions, Develop and expose ML models via APIs, Participate in AI workload deployment, Support AI service integration, Contribute to testing AI solutions, Contribute to documentation of AI solutions, Contribute to continuous improvement of AI solutions, Learn engineering practices, Apply engineering practices", "teamCollaboration" : "Experienced engineers; Project teams; Senior team members; Cross-functional teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "AI engineering; Cloud technologies; Applied machine learning; LLMs; NLP; Document intelligence; Cloud deployment; Scalable software engineering; Computer vision; On-premises environments; Edge environments; Transformers; Embeddings; Prompt engineering; Retrieval-Augmented Generation; Chatbot development; OCR; Document understanding; Cloud-native architectures; Serverless architectures; Event-driven architectures", "domainList" : [ "ai-engineering", "cloud-technologies", "applied-machine-learning", "llms", "nlp", "document-intelligence", "cloud-deployment", "scalable-software-engineering", "computer-vision", "on-premises-environments", "edge-environments", "transformers", "embeddings", "prompt-engineering", "retrieval-augmented-generation", "chatbot-development", "ocr", "document-understanding", "cloud-native-architectures", "serverless-architectures", "event-driven-architectures" ], "domainSpecificKnowledge" : [ "AI engineering", "Cloud technologies", "Applied machine learning", "LLMs", "NLP", "Document intelligence", "Cloud deployment", "Scalable software engineering", "Computer vision", "On-premises environments", "Edge environments", "Transformers", "Embeddings", "Prompt engineering", "Retrieval-Augmented Generation", "Chatbot development", "OCR", "Document understanding", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures" ], "toolProficiency" : [ "Git", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible" ], "communicationSkills" : "English communication; French communication", "documentationSkills" : "Good documentation habits", "continuousLearning" : "Willingness to learn new technologies", "problemSolvingSkills" : "Problem-solving attitude", "qualificationsBasic" : "Bachelor's or Master's degree, Python knowledge, REST APIs understanding, Git familiarity, Machine learning fundamentals understanding, English or French communication skills", "qualificationsPreferred" : "Vector databases knowledge, Semantic search knowledge, Embeddings knowledge, Event-driven architectures experience, Traditional software development experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. At ARHS Group part of Accenture we are looking for a motivatedrecent graduate with a strong interest in AI engineering, cloud technologies, and applied machine learning. The ideal candidate combines technical curiosity with a hands-on mindset and is eager to grow by contributing to real-world AI projects involving LLMs, NLP, document intelligence, cloud deployment, and scalable software engineering. As a Young Graduate Data & AI Engineer (m/f), you will contribute to the design, development, and deployment of intelligent data and AI solutions using technologies such as NLP, computer vision, and Large Language Models. You will work closely with experienced engineers and project teams to transform data into practical, secure, and scalable AI-driven solutions, while growing your technical expertise across cloud, on-premises, and edge environments. THE WORK: * Support the development of AI and machine learning pipelines covering data preparation, model experimentation, deployment, and monitoring. * Contribute to the implementation of LLM-based solutions, including the use of open-source models such as Mistral or LLaMA, under the guidance of senior team members. * Assist in building NLP solutions for use cases such as information extraction, text classification, semantic search, document enrichment, and chatbot development. * Help develop and expose ML models through APIs using Python frameworks such as FastAPI or equivalent technologies. * Participate in AI workload deployment on cloud platforms such as Azure or AWS. * Support the integration of AI services into cloud-native, serverless, or event-driven architectures. * Contribute to testing, documentation, and continuous improvement of AI solutions. * Learn and apply good engineering practices related to DevOps, version control, automation, and secure deployment. The work location for this role is an ARHS – Part of Accenture office. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. HERE’S WHAT YOU’LL NEED: * Candidates must have completed a Bachelor's or Master's degree in Data Science, Artificial Intelligence, Computer Science, Machine Learning , Analytics, or a related field. * A first academic, internship, or project experience in AI, data science, machine learning, or software engineering is expected. Programming & APIs * Good knowledge of Python. Basic understanding of REST APIs and backend service development. * Familiarity with Git and collaborative software development practices. AI, NLP & Machine Learning * Understanding of machine learning fundamentals. * Exposure to NLP, transformers, embeddings, or Large Language Models. * Interest in prompt engineering, Retrieval-Augmented Generation, chatbot development, OCR, or document understanding. * Experience with academic, personal, or internship projects involving AI/ML is highly valued. Cloud & Engineering Practices * Awareness of cloud platforms. * Awareness of Docker, CI/CD, GitHub Actions, or Infrastructure-as-Code concepts such as Terraform or Ansible. * Interest in learning how AI solutions are deployed, monitored, and maintained in production environments. Soft Skills * Good communication skills in English or French. * Curiosity and willingness to learn new AI and cloud technologies. * Good documentation habits. * Analytical mindset and problem-solving attitude. * Ability to work in a team and receive guidance from more experienced colleagues. * Interest in Agile, DevOps, and collaborative delivery practices. BONUS POINTS IF YOU HAVE: * Vector databases, semantic search, and embeddings knowledge/ * Event-driven architectures such as Azure Functions, Service Bus, or Event Grid. * Traditional software development using Java, .NET, TypeScript, Spring Boot, or similar technologies.", "summaryDescription" : "Young Graduate Data & AI Engineer (m/f) at ARHS. Skills: Machine Learning, Cloud Technologies, LLMs, NLP. Support AI/ML pipeline development. Prepare data for models", "postedDate" : "2026-06-15T10:07:45.000", "createdAt" : "2026-06-15T23:54:13.734", "lastUpdated" : "2026-06-16T10:58:10.610", "ingestTimestamp" : "2026-06-15T23:54:13.734", "mongoId" : "6a306986f292fd229cfc8900", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "AI engineering", "Applied machine learning", "Data preparation", "Model experimentation", "Model deployment", "Model monitoring", "LLM implementation", "Prompt engineering", "Retrieval-Augmented Generation", "Document understanding", "OCR", "ML model exposure", "Cloud platforms awareness", "Infrastructure-as-Code concepts", "Analytical mindset", "Problem-solving attitude", "Machine Learning", "Cloud Technologies", "LLMs", "NLP", "Software development", "Data science", "Security management", "Machine learning", "Cloud deployment", "Scalable software engineering", "Information extraction", "Text classification", "Semantic search", "Document enrichment", "Chatbot development", "API development", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures", "Version control", "Secure deployment", "Agile", "DevOps", "Cloud technologies", "Document intelligence", "Computer vision", "On-premises environments", "Edge environments", "Transformers", "Embeddings", "Git", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 865.4011, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7a9f74d8ee00a09461bc", "title" : "Senior Data Engineer, Analytics", "company" : "Apptegy", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer in Bulgaria, adjusted for the education industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T01:07:32.467", "fingerprint" : "c9f0d7724af62856f1ed343299fb842e9002d35bf5ef0272120603b1c229b42a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.apptegy.com/careers/?gh_jid=4202928009", "externalId" : "4202928009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Data Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.", "summaryDescription" : "Senior Data Engineer, Analytics at Apptegy", "postedDate" : "2026-06-14T19:09:39.312", "createdAt" : "2026-06-14T19:09:39.312", "lastUpdated" : "2026-06-16T01:07:32.467", "ingestTimestamp" : "2026-06-14T19:09:39.312", "mongoId" : "6a2c7a9f74d8ee00a09461bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 859.8349, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677ac9", "title" : "EE Release Engineer_整车电子电气软件规划工程师", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the automotive industry in Beijing, China, for a Senior EE Release Engineer with mid-level experience, adjusted for company size and market trends for 2024-2025." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "certifications" : [ "Valid Chinese driving license" ], "timestamp" : "2026-06-15T21:23:32.679", "fingerprint" : "24f953212733b63a4ea10e2d38278e39b48a8ec68124412901a06ad60cbff3ec", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882413", "externalId" : "882413", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Mid", "technicalSkills" : "EE architecture, CAN, LIN, Flexray, Ethernet, SW release management, FROP management, ECUs, EOL testing, MS Office, PowerPoint, Excel, Word", "professionalSkills" : [ "Release management", "Change management", "Vehicle development", "Vehicle testing", "Production process", "Diagnose knowledge", "Network technologies", "Communication mechanisms" ], "hardSkillsList" : [ "Software requirements", "Hardware requirements", "Vehicle architectures", "Testing methodologies" ], "softSkillsList" : [ "Self-responsible", "Analytical", "Problem solving", "Teamwork", "Interpersonal", "Presentation" ], "hardSkills" : [ { "name" : "Software requirements", "level" : "intermediate" }, { "name" : "Hardware requirements", "level" : "intermediate" }, { "name" : "Vehicle architectures", "level" : "intermediate" }, { "name" : "Testing methodologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-responsible" }, { "name" : "Analytical" }, { "name" : "Problem solving" }, { "name" : "Teamwork" }, { "name" : "Interpersonal" }, { "name" : "Presentation" } ], "majorSkills" : "EE maturity planning, EE release planning", "majorSkillsList" : [ "EE maturity planning", "EE release planning" ], "coreResponsibilities" : "Define vehicle level EE maturity planning, Manage vehicle level EE maturity planning, Create target SW & HW version, Maintain target SW & HW version, Define testing vehicle retrofit target, Define testing vehicle retrofit focus, Define EE release planning, Maintain EE release planning, Define EE testing vehicle software target, Define EE testing vehicle hardware target, Consolidate China specific features, Generate China specific features, Consolidate China specific parameters, Generate China specific parameters, Manage EE SW release, Maintain EE SW release, Support EE SW car package deployment, Evaluate EE function ramp up plan, Ensure EE function ramp up plan, Support EE testing, Document testing finding tickets", "teamCollaboration" : "R&D headquarter Germany; Other R&D departments China; Function owners; Component developers; EE domains; Relevant developers global; BTVs; FOs; PM team; Cross functions", "projectManagementSkills" : [ "Release management", "FROP management", "Engineering change management" ], "domainKnowledge" : "Vehicle EE architecture; Telematics; ADAS development; Vehicle development process; Vehicle testing process; Vehicle production process; ECUs industrlization; EOL testing; Vehicle architectures; Network technologies; Communication mechanisms", "domainList" : [ "vehicle-ee-architecture", "telematics", "adas-development", "vehicle-development-process", "vehicle-testing-process", "vehicle-production-process", "ecus-industrlization", "eol-testing", "vehicle-architectures", "network-technologies", "communication-mechanisms" ], "domainSpecificKnowledge" : [ "Vehicle EE architecture", "Telematics", "ADAS development", "Vehicle development process", "Vehicle testing process", "Vehicle production process", "ECUs industrlization", "EOL testing", "Vehicle architectures", "Network technologies", "Communication mechanisms" ], "toolProficiency" : [ "MB system", "EPDM", "MBOS portal" ], "communicationSkills" : "Excellent communication; Presentation skills", "problemSolvingSkills" : "Problem solving skills", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "Bachelor's degree or above, 5-10 years working experience, Experience in Telematics / ADAS development or testing, Good experience of EE SW release management, Good experience of FROP management, Good experience of engineering change management, Good knowledge of vehicle development process, Good knowledge of vehicle testing process, Familiar with vehicle production process, Familiar with ECUs industrlization, Familiar with EOL testing, Ability to understand software requirements, Ability to understand hardware requirements, Ability to understand vehicle architectures, Ability to understand testing methodologies, Ability to multi-task, Ability to prioritize, Solid knowledge of vehicle CAN, Solid knowledge of vehicle LIN, Solid knowledge of vehicle Flexray, Solid knowledge of vehicle Ethernet, Solid knowledge of EE architecture, Basic diagnose knowledge, Solid knowledge of vehicle architectures, Solid knowledge of network technologies, Solid knowledge of communication mechanisms, Good driving skills, Valid Chinese driving license, Advanced MS Office skills, Fluent Chinese language skills, Fluent English language skills", "qualificationsPreferred" : "Experience with CANoe, Experience with CANanalyzer", "remoteFriendly" : false, "rawDescription" : "Define and manage overall vehicle level EE maturity planning with corresponding responsible according to MDS future and in line with system SW & HW release planning to ensure overall vehicle EE maturity for both development and production. Create and maintain the target SW & HW version in MB system to ensure the testing and production correctness. Meanwhile, this role is also responsible to define the testing vehicle retrofit target and focus as guideline for testing engineers and support the overall vehicle EEKL and intensive testing activity. Define and maintain overall vehicle EE release planning in collaboration with R&D headquarter in Germany and other R&D departments in China during development phase Define EE testing vehicle software and hardware target for each release and testing environment in collaboration with function owners and component developers Consolidate and generate China specific features or parameter for all EE domains (e.g. Body EE, telematics, and ADAS). Manage and maintain EE SW release in different level in EPDM and MBOS portal in alignment with the relevant developers in global wise, support EE SW car package deployment at BBAC plant. Evaluate and ensure EE function ramp up plan (e.g. FROP) with BTVs, FOs and PM team, especially for cross functions Support EE testing and document testing finding tickets in relevant system Team internal support, support testing engineer other test related work Education： Bachelor degree or above in electrical engineering, computer science, and vehicle engineering Experience： 5-10 years working experience at OEMs or suppliers for E/E, especially in Telematics / ADAS development or testing. Good experience of EE SW release management and FROP management. Good experience of engineering change management. Good knowledge of vehicle development and testing process. Familiar with vehicle production process, especially of ECUs industrlization and EOL testing. Ability to understand software and hardware requirements, vehicle architectures and testing methodologies Ability to multi-task, prioritize and work in a fast-paced environment Self-responsible, strong analytical and problem solving skills Teamwork spirit with excellent communication, interpersonal and presentation skills. Specific Knowledge： Solid knowledge of vehicle CAN, LIN, Flexray, Ethernet and EE architecture. Basic diagnose knowledge is required, be familiar with CANoe or CANanalyzer. Solid knowledge of vehicle architectures, network technologies and communication mechanisms Good driving skills with valid Chinese driving license. Advanced MS Office skills in PowerPoint, Excel and Word. Fluent Chinese and English language skills and capable to work in multi-cultural environment Willingness to travel inside China and abroad on test drives Mercedes-Benz Group China Ltd.", "summaryDescription" : "EE Release Engineer_整车电子电气软件规划工程师 at Mercedes-Benz Group China Ltd.. Skills: EE maturity planning, EE release planning. Define vehicle level EE maturity planning. Manage vehicle level EE maturity planning", "createdAt" : "2026-06-14T20:41:39.483", "lastUpdated" : "2026-06-15T21:23:32.679", "ingestTimestamp" : "2026-06-14T20:41:39.483", "mongoId" : "69ce5e3b9bc74574cb677ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software requirements", "Hardware requirements", "Vehicle architectures", "Testing methodologies", "Self-responsible", "Analytical", "Problem solving", "Teamwork", "Interpersonal", "Presentation", "EE maturity planning", "EE release planning", "Release management", "Change management", "Vehicle development", "Vehicle testing", "Production process", "Diagnose knowledge", "Network technologies", "Communication mechanisms", "FROP management", "Engineering change management", "Vehicle EE architecture", "Telematics", "ADAS development", "Vehicle development process", "Vehicle testing process", "Vehicle production process", "ECUs industrlization", "EOL testing", "Valid Chinese driving license", "MB system", "EPDM", "MBOS portal" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 859.0378, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8670f0b99d5843fb04", "title" : "Data Engineer, Prime Video Core Analytics and Tooling", "company" : "Amazon Digital UK Limited", "industry" : "Business Intelligence, Data Engineering, entertainment", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in London, UK, with adjustments for company size and industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T01:50:26.733", "fingerprint" : "c8a853ba055e35e266c0d4278d880704e2f69393c61470d1f29bb5c0eb44ec3d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139902/apply", "externalId" : "e532c949-f443-468a-a6ec-4f5f9ae6b406", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, AWS, Redshift, S3, AWS Glue, Kinesis, FireHose, Lambda, IAM", "professionalSkills" : [ "Data warehousing", "Data modeling", "ETL pipelines", "Distributed systems", "Software engineering", "Data quality", "Infrastructure as code" ], "hardSkillsList" : [ "Big data processing", "Data modeling", "Data warehousing", "ETL pipeline development", "Infrastructure as code" ], "hardSkills" : [ { "name" : "Big data processing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipeline development", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Big data, AWS, ETL", "majorSkillsList" : [ "Data engineering", "Big data", "AWS", "ETL" ], "coreResponsibilities" : "Solve data warehousing problems on a massive scale, Apply cloud-based AWS services, Build infrastructure as a code, Focus on automation and optimization for DW/ETL maintenance, Work closely with global business partners and technical, Deliver data products that underpin Prime Video strategic, Develop efficient systems and tools to process data", "teamCollaboration" : "Global business partners; Technical teams", "domainKnowledge" : "Relational data; Cloud data platform", "domainList" : [ "relational-data", "cloud-data-platform" ], "domainSpecificKnowledge" : [ "Relational data", "Cloud data platform" ], "innovationCreativity" : "Innovating on behalf of our customers", "problemSolvingSkills" : "Creative problem solving", "qualificationsBasic" : "Experience in at least one modern scripting or programming language, Experience with big data technologies, Experience building/operating highly available, distributed systems, Experience with data modeling, warehousing and building ETL pipelines, Knowledge of distributed systems, Knowledge of professional software engineering & best practices, Experience as a Data Engineer or in a similar role, Experience with SQL", "qualificationsPreferred" : "Experience with AWS technologies, Experience working on and delivering end to end projects independently", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The team owns a global data platform that powers analytics and data science within Prime Video. Building on AWS cloud technology and processing some eye-watering volumes of relational data, our team is passionate about the security, latency and usability of our products. Abstracting complexity from the analytics community, so they can more rapidly innovate on behalf of our customers. Key job responsibilities You'll solve data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, self-service data access, automated data quality detection and building infrastructure as a code. You'll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment. You'll work closely with global business partners and technical teams on many non-standard and unique business problems and use creative problem solving to deliver data products that underpin Prime Video strategic decision making, from content selection to on-platform customer experience. You'll develop efficient systems and tools to process data, using technologies than can scale to seasonal spikes and easily accommodate future growth. Your work will have a direct impact on the day-to-day decision making across Prime Video. Basic Qualifications: - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience with data modeling, warehousing and building ETL pipelines - Knowledge of distributed systems as it pertains to data storage and computing - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience as a Data Engineer or in a similar role - Experience with SQL Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience working on and delivering end to end projects independently Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Engineer, Prime Video Core Analytics and Tooling at Amazon Digital UK Limited. Skills: Data engineering, Big data, AWS, ETL. Solve data warehousing problems on a massive scale. Apply cloud-based AWS services", "postedDate" : "2026-06-13T06:36:11.571", "createdAt" : "2026-06-13T06:36:11.571", "lastUpdated" : "2026-06-15T01:50:26.733", "ingestTimestamp" : "2026-06-13T06:36:11.571", "mongoId" : "693c2b8670f0b99d5843fb04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139902/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Big data processing", "Data modeling", "Data warehousing", "ETL pipeline development", "Infrastructure as code", "Data engineering", "Big data", "AWS", "ETL", "ETL pipelines", "Distributed systems", "Software engineering", "Data quality", "Relational data", "Cloud data platform" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 852.6113, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69ce5e3b9bc74574cb677acc", "title" : "CBU EE Release Coordinator_整车电子电气软件规划工程师", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level EE Release Coordinator in Beijing, China, adjusted for the automotive industry and a large company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T00:58:32.896", "fingerprint" : "fedfc1da657b423e6d644cce56ed7ef50277070dcc2526f6e6b35d8e969b58d4", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882395", "externalId" : "882395", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Mid", "technicalSkills" : "Software, Hardware, CAN, LIN, Flexray, Ethernet, EE architecture", "professionalSkills" : [ "Release management", "FROP management", "Engineering change management", "Vehicle development", "Vehicle testing", "Vehicle production", "ECU industrlization", "EOL testing", "Software requirements", "Hardware requirements", "Vehicle architectures", "Testing methodologies", "Diagnose knowledge" ], "hardSkillsList" : [ "FROP management", "Engineering change management", "Vehicle development process", "Vehicle testing process", "Vehicle production process", "ECU industrlization", "EOL testing", "Software requirements analysis", "Hardware requirements analysis", "Vehicle architecture analysis", "Testing methodology application", "Diagnostic troubleshooting", "CAN communication", "LIN communication", "Flexray communication", "Ethernet communication", "EE architecture design", "Multi-tasking", "Prioritization", "Fast-paced environment adaptation", "Self-responsibility", "Analytical thinking", "Problem-solving", "Teamwork", "Communication", "Interpersonal skills", "Presentation skills", "MS Office proficiency" ], "hardSkills" : [ { "name" : "FROP management", "level" : "intermediate" }, { "name" : "Engineering change management", "level" : "intermediate" }, { "name" : "Vehicle development process", "level" : "intermediate" }, { "name" : "Vehicle testing process", "level" : "intermediate" }, { "name" : "Vehicle production process", "level" : "intermediate" }, { "name" : "ECU industrlization", "level" : "intermediate" }, { "name" : "EOL testing", "level" : "intermediate" }, { "name" : "Software requirements analysis", "level" : "intermediate" }, { "name" : "Hardware requirements analysis", "level" : "intermediate" }, { "name" : "Vehicle architecture analysis", "level" : "intermediate" }, { "name" : "Testing methodology application", "level" : "intermediate" }, { "name" : "Diagnostic troubleshooting", "level" : "intermediate" }, { "name" : "CAN communication", "level" : "intermediate" }, { "name" : "LIN communication", "level" : "intermediate" }, { "name" : "Flexray communication", "level" : "intermediate" }, { "name" : "Ethernet communication", "level" : "intermediate" }, { "name" : "EE architecture design", "level" : "intermediate" }, { "name" : "Multi-tasking", "level" : "intermediate" }, { "name" : "Prioritization", "level" : "intermediate" }, { "name" : "Fast-paced environment adaptation", "level" : "intermediate" }, { "name" : "Self-responsibility", "level" : "intermediate" }, { "name" : "Analytical thinking", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" }, { "name" : "Teamwork", "level" : "intermediate" }, { "name" : "Communication", "level" : "intermediate" }, { "name" : "Interpersonal skills", "level" : "intermediate" }, { "name" : "Presentation skills", "level" : "intermediate" }, { "name" : "MS Office proficiency", "level" : "intermediate" } ], "majorSkills" : "EE release coordination, Testing vehicle retrofit", "majorSkillsList" : [ "EE release coordination", "Testing vehicle retrofit" ], "coreResponsibilities" : "Coordinate CBU EE release plans, Ensure vehicle level EE maturity planning, Align with system SW & HW release planning, Maintain target SW & HW version, Define testing vehicle retrofit target, Define testing vehicle retrofit focus, Define vehicle EE release planning, Maintain vehicle EE release planning, Define EE testing vehicle software, Define EE testing vehicle hardware, Define testing environment, Consolidate China specific features, Consolidate China specific parameters, Manage EE SW release, Maintain EE SW release, Support EE SW car package deployment, Evaluate EE function ramp up plan, Ensure EE function ramp up plan, Support EE testing, Document testing finding tickets, Support testing engineer other test related work", "teamCollaboration" : "R&D headquarter in Germany; Other R&D departments in China; Function owners; Component developers; Relevant developers global wise; BTVs; FOs; PM team; Cross functions", "projectManagementSkills" : [ "Release management", "FROP management", "Engineering change management" ], "domainKnowledge" : "Vehicle EE architecture; Telematics; ADAS; Body EE; Vehicle production; ECU industrlization; EOL testing; CAN; LIN; Flexray; Ethernet; EE architecture; Vehicle architectures; Network technologies; Communication mechanisms", "domainList" : [ "vehicle-ee-architecture", "telematics", "adas", "body-ee", "vehicle-production", "ecu-industrlization", "eol-testing", "can", "lin", "flexray", "ethernet", "ee-architecture", "vehicle-architectures", "network-technologies", "communication-mechanisms" ], "domainSpecificKnowledge" : [ "Vehicle EE architecture", "Telematics", "ADAS", "Body EE", "Vehicle production", "ECU industrlization", "EOL testing", "CAN", "LIN", "Flexray", "Ethernet", "EE architecture", "Vehicle architectures", "Network technologies", "Communication mechanisms" ], "toolProficiency" : [ "EPDM", "MBOS portal", "MS Office", "PowerPoint", "Excel", "Word", "CANoe", "CANanalyzer" ], "communicationSkills" : "Presentation skills; Communication skills; Interpersonal skills", "problemSolvingSkills" : "Problem solving skills; Analytical skills", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "Bachelor degree or above, 5-10 years working experience, Good experience of EE SW release management, Good experience of FROP management, Good experience of engineering change management, Good knowledge of vehicle development, Good knowledge of testing process, Ability to understand software requirements, Ability to understand hardware requirements, Ability to understand vehicle architectures, Ability to understand testing methodologies, Ability to multi-task, Ability to prioritize, Ability to work in fast-paced environment, Self-responsible, Analytical skills, Problem solving skills, Teamwork spirit, Excellent communication skills, Excellent interpersonal skills, Excellent presentation skills, Solid knowledge of vehicle CAN, Solid knowledge of vehicle LIN, Solid knowledge of vehicle Flexray, Solid knowledge of vehicle Ethernet, Solid knowledge of EE architecture, Basic diagnose knowledge, Solid knowledge of vehicle architectures, Solid knowledge of network technologies, Solid knowledge of communication mechanisms, Good driving skills, Valid Chinese driving license, Fluent Chinese language skills, Fluent English language skills, Capable to work in multi-cultural environment, Willingness to travel", "qualificationsPreferred" : "Familiar with vehicle production process, Familiar with ECUs industrlization, Familiar with EOL testing, Familiar with CANoe, Familiar with CANanalyzer, Advanced MS Office skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As the central coordinator role in IEE team, to bridge the connection with all CBU EE release plans. Ensure all CBU models overall vehicle level EE maturity planning with corresponding responsible according to MDS future and in line with system SW & HW release planning to ensure overall vehicle EE maturity for CBU models. Support to maintain the target SW & HW version in MB system to ensure the testing correctness. Meanwhile, this role is also responsible to define the testing vehicle retrofit target and focus as guideline for testing engineers and support the overall vehicle EEKL and intensive testing activity. Define and maintain overall vehicle EE release planning in collaboration with R&D headquarter in Germany and other R&D deparments in China during development phase Define EE testing vehicle software and hardware target for each release and testing enviroment in collaboration with function owners and component developers Consolidate and generate China specific features or parameter for all EE domains (e.g. Body EE, telematics, and ADAS). Manage and maintain EE SW release in different level in EPDM and MBOS portal in alignment with the relevant developers in global wise, support EE SW car package deployment at BBAC plant. Evaluate and ensure EE function ramp up plan (e.g. FROP) with BTVs, FOs and PM team, especially for cross functions Support EE testing and document testing finding tickets in relevant system Team internal support, support testing engineer other test related work · Bachelor degree or above in electrical engineering, computer science, and vehicle engineering · 5-10 years working experience at OEMs or suppliers for E/E, especially in Telematics / ADAS development or testing. · Good experience of EE SW release management and FROP management. · Good experience of engineering change management. · Good knowledge of vehicle development and testing process. · Familiar with vehicle production process, especially of ECUs industrlization and EOL testing. · Ability to understand software and hardware requirements, vehicle architectures and testing methodologies · Ability to multi-task, prioritize and work in a fast-paced environment · Self-responsible, strong analytical and problem solving skills · Teamwork spirit with excellent communication, interpersonal and presentation skills. · Soli d knowledge of vehicle CAN, LIN, Flexray, Ethernet and EE architecture. · Basic diagnose knowledge is required, be familiar with CANoe or CANanalyzer. · Solid knowledge of vehicle architectures, network technologies and communication mechanisms · Good driving skills with valid Chinese driving license. · Advanced MS Office skills in PowerPoint, Excel and Word. · Fluent Chinese and English language skills and capable to work in multi-cultural environment · Willingness to travel inside China and abroad on test drives Mercedes-Benz Group China Ltd.", "summaryDescription" : "CBU EE Release Coordinator_整车电子电气软件规划工程师 at Mercedes-Benz Group China Ltd.. Skills: EE release coordination, Testing vehicle retrofit. Coordinate CBU EE release plans. Ensure vehicle level EE maturity planning", "createdAt" : "2026-06-14T19:47:16.121", "lastUpdated" : "2026-06-16T00:58:32.896", "ingestTimestamp" : "2026-06-14T19:47:16.121", "mongoId" : "69ce5e3b9bc74574cb677acc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "FROP management", "Engineering change management", "Vehicle development process", "Vehicle testing process", "Vehicle production process", "ECU industrlization", "EOL testing", "Software requirements analysis", "Hardware requirements analysis", "Vehicle architecture analysis", "Testing methodology application", "Diagnostic troubleshooting", "CAN communication", "LIN communication", "Flexray communication", "Ethernet communication", "EE architecture design", "Multi-tasking", "Prioritization", "Fast-paced environment adaptation", "Self-responsibility", "Analytical thinking", "Problem-solving", "Teamwork", "Communication", "Interpersonal skills", "Presentation skills", "MS Office proficiency", "EE release coordination", "Testing vehicle retrofit", "Release management", "Vehicle development", "Vehicle testing", "Vehicle production", "Software requirements", "Hardware requirements", "Vehicle architectures", "Testing methodologies", "Diagnose knowledge", "Vehicle EE architecture", "Telematics", "ADAS", "Body EE", "CAN", "LIN", "Flexray", "Ethernet", "EE architecture", "Network technologies", "Communication mechanisms", "EPDM", "MBOS portal", "MS Office", "PowerPoint", "Excel", "Word", "CANoe", "CANanalyzer" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 848.02527, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a213ac574d8ee00a0ba1e21", "title" : "CORE Data & Analytics Release Release Train Engineer (RTE) (M/F)", "company" : "Airbus Helicopters", "industry" : "Aeronautics", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Release Train Engineer in Marignane, France, adjusted for the aerospace industry and company size." }, "location" : "France", "locations" : [ "France" ], "timestamp" : "2026-06-05T03:34:45.465", "fingerprint" : "4d8d815755cddd1c51324e9007c6527ac3bef01fe70374a050ce78094756d6fd", "source" : "workday", "language" : "en", "applyUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Marseille-Area/XMLNAME--CORE-Data---Analytics-Release-Release-Train-Engineer--RTE---M-F-_JR10404796-1", "externalId" : "JR10404796", "industryFunction" : { }, "locationPoint" : "46.2276,2.2137", "structuredLocations" : [ { "city" : "Marignane", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.4162193,5.2145269" }, { "city" : "Donauwörth", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7180364,10.7807299" } ], "locationText" : "Marignane, France; Donauwörth, Germany", "employmentType" : "FULL_TIME", "experienceLevel" : "Professional", "technicalSkills" : "Data Engineering, Information Technology", "professionalSkills" : [ "Lean-Agile principles", "Lean budgeting", "Value stream management", "Program Increment planning", "Agile coaching", "Conflict resolution", "Risk mitigation", "Backlog management", "WSJF prioritization" ], "hardSkillsList" : [ "Flow Metrics", "Velocity tracking", "Program Predictability Measure", "Flow Efficiency", "ART maturity levels" ], "softSkillsList" : [ "Servant Leadership", "Systems thinking" ], "hardSkills" : [ { "name" : "Flow Metrics", "level" : "intermediate" }, { "name" : "Velocity tracking", "level" : "intermediate" }, { "name" : "Program Predictability Measure", "level" : "intermediate" }, { "name" : "Flow Efficiency", "level" : "intermediate" }, { "name" : "ART maturity levels", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Servant Leadership" }, { "name" : "Systems thinking" } ], "majorSkills" : "Release Train Engineer, Agile Release Train, Program Increment", "majorSkillsList" : [ "Release Train Engineer", "Agile Release Train", "Program Increment" ], "coreResponsibilities" : "Synchronize the \"Team of Teams\", Design communication architecture, Drive the rhythm of the ART, Own the operational roadmap, Track progress against Program Objectives, Use data-driven insights, Architect the PI Planning, Ensure Content and Capacity meet, Remove systemic issues, Tackle cross-train dependencies, Address infrastructure gaps", "teamCollaboration" : "Team of Teams ecosystem; Scrum Masters; Product Managers; Business Owners", "projectManagementSkills" : [ "Agile", "Lean-Agile", "Program Increment", "PI Planning", "Inspect & Adapt", "Scrum of Scrums", "Program Backlog", "WSJF" ], "domainKnowledge" : "Aviation industry; Aerospace industry; Data challenges", "domainList" : [ "aviation-industry", "aerospace-industry", "data-challenges" ], "domainSpecificKnowledge" : [ "Aviation industry", "Aerospace industry", "Data challenges" ], "toolProficiency" : [ "SAFe Framework", "Program Board" ], "communicationSkills" : "Communicate AGILE concepts", "problemSolvingSkills" : "Troubleshoot organisational challenges", "specialRequirements" : "Security clearance", "outcomesObjectives" : "Deliver predictable value; Clear impediments; Operate as synchronized unit; Achieve Program Objectives; Produce committed plan; Reach full potential; Self-manage effectively; Transparent view of progress; Transparent view of risks; Transparent view of flow", "qualificationsBasic" : "Master's degree in Computer Science, Master's degree in Data Engineering, Master's degree in Information Technology, 5-8 years’ experience in related area, Excellent analytical and problem-solving skills, Troubleshoot organisational challenges, Agile development methodologies expert, Fluency in English", "qualificationsPreferred" : "Understanding of the aviation industry, Understanding of the aerospace industry, Knowledge of French", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "****Job Description:**** ****Take off with Airbus Helicopters!**** Airbus Helicopters is seeking a highly skilled and experienced **Release Train Engineer** to join our Information Management (IM) / IT Department within the **Analytics Solution** domain based in Marignane or Donauwörth. Join us to shape the future of aeronautics and help protect lives during missions accomplished thanks to our helicopters. The Marignane site, the 3rd largest industrial site in France, near Marseille and Aix-en-Provence, is undergoing a deep transformation to offer a high-tech, inclusive, and environmentally friendly working environment. You will live a unique professional experience, at the heart of the manufacturing of our helicopters. To learn more about our site and our activities:[ Airbus Helicopters - Marignane](https://www.youtube.com/watch?v=ndrf44kIVUI) **Role Mission:** The RTE is the **Primary Facilitator and Operations Leader** for the Agile Release Train (ART). Rather than managing people, you manage the **Value Stream**. You are responsible for the health of the \"Team of Teams\" ecosystem, ensuring that delivery is predictable, impediments are cleared at the team of teams level, and the ART operates as a synchronized, high-performance unit. **Core Responsibilities: Operational Steering** * **Synchronizing the \"Team of Teams\":** You drive the rhythm of the ART. You don't just \"schedule meetings\"; you design the communication architecture (Sync-ups, PO Syncs, Coach Syncs) that allows 50–125+ people to move in the same direction without friction. * **Driving Execution:** You own the operational roadmap for the PI (Program Increment). You track progress against Program Objectives and use data-driven insights (Flow Metrics, Velocity) to identify where the \"engine\" is stalling. * **Architecting the PI Planning:** You are the lead architect of the ART’s most critical alignment event. You ensure the \"Content\" (from Product Management) and the \"Capacity\" (from the Teams) meet in a way that produces a committed, realistic plan. * **Systemic Impediment Removal:** While Scrum Masters handle team-level blockers, you tackle **systemic** issues—budgeting silos, cross-train dependencies, and infrastructure gaps—that prevent the ART from reaching its full potential. **Strategic Skills & Mindset** * **Operational Excellence:** You have a \"systems-thinking\" mindset. You look at the whole train to find the bottleneck, rather than just optimizing individual teams. * **Servant Leadership through Facilitation:** You lead by creating the environment for success. You provide the guardrails and the data that allow teams to self-manage effectively. * **Predictability & Transparency:** You are the source of truth for the ART’s health. You ensure that Business Owners have a transparent view of progress, risks, and the actual \"flow\" of value. **Key Performance Indicators (KPIs)** * **Program Predictability Measure:** How well is the ART delivering against its planned objectives? * **Flow Efficiency:** How much time is work spent \"waiting\" versus \"moving\"? * **ART Health:** The eNPS and maturity levels of the \"team of teams.\" Your profile: * **Education:** Master's degree in Computer Science, Data Engineering, Information Technology, or a related technical field. * 5-8 years’ experience in related area * **Problem-Solving Skills:** Excellent analytical and problem-solving skills with a strong ability to troubleshoot organisational challenges. * **Collaboration & Communication:** Strong collaboration and communication skills with the ability to effectively communicate AGILE concepts to both technical and non-technical audiences. * **Agile Experience:** Expert with agile development methodologies. * **Industry Knowledge (Preferred):** Understanding of the aviation or aerospace industry and its data challenges is a plus. * **Language Skills:** Fluency in English is essential. Knowledge of French is advantageous. Skills: * **SAFe Framework Expertise & Event Facilitation:** Mastery in orchestrating and facilitating large-scale Lean-Agile events, specifically **Program Increment (PI) Planning** , Inspect & Adapt (I&A) workshops, and Scrum of Scrums across the entire Agile Release Train (ART). * **Servant Leadership & Agile Coaching:** Proven ability to lead without hierarchical authority, coaching Scrum Masters, Product Managers, and teams on Lean-Agile principles, while driving conflict resolution and fostering a culture of continuous improvement. * **Impediment Removal & Flow Optimization:** Strong track record in identifying and clearing systemic roadblocks, managing cross-team dependencies, and optimizing the value stream using metrics like Flow Efficiency and Program Predictability. * **Risk & Dependency Management:** Expertise in driving proactive risk mitigation strategies, visualizing critical-path dependencies via the Program Board, and aligning technical runway risks with business priorities. * **Strategic Alignment & Backlog Management:** Strong collaboration skills with Product Management and Business Owners to manage the Program Backlog, apply **WSJF (Weighted Shortest Job First)** prioritization, and ensure execution aligns with Lean budgeting and strategic themes. **_3 Reasons to join us:_** Our[ Values](https://www.airbus.com/en/newsroom/news/2018-01-airbus-values): Six essential values form the core of our company. Defined for employees by employees, our Airbus values shape the DNA of our business, reflecting the unique mix of qualities found in each member of our global family. [Inclusion and diversity](https://www.airbus.com/en/sustainability/our-approach-to-sustainability/inclusion-and-diversity): We foster an inclusive and rewarding work environment, where everyone's diversity is valued and respected. An inclusive and diverse workforce is the engine of innovation at Airbus. It makes us unique and contributes to better problem-solving. [Compensation and benefits](https://www.airbus.com/en/careers/life-at-airbus/reward-and-benefits): At Airbus, we build the future together and your success is our priority. Expect a global, competitive, and transparent compensation package (including salaries, bonuses, profit-sharing, participation, and preferred share ownership plan), designed to reward the impact and performance you bring, both individually and collectively. We invest in your complete well-being: professional development (training, mentoring, international mobility), health coverage, retirement, and a commitment to a supported work-life balance (parental support, flexibility). And for your daily life, benefits that make a difference: * A dynamic CSE (Social and Economic Committee) offering many advantages (company restaurant, children's leisure center, associations and sports complex, travel allowances, etc.). * Transport facilities: Take advantage of our company shuttles or the reimbursement of your annual transport pass. ** _Our recruitment process:_** * Apply online. * Analysis of your application by the recruitment department. * Our positions require a security clearance, complete the questionnaire that will be sent to you. * Conduct recruitment interviews: HR interview and technical interview with your future manager * Receive the job offer! **Ready to take off?** Give a new dimension to your career by applying[ online](https://www.airbus.com/en/careers) now! **#LI-EM1** This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus Helicopters SAS **Employment Type:** Permanent \\------- Classe Emploi (France): Classe G13 **Experience Level:** Professional **Job Family:** Programme & Project Management By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "CORE Data & Analytics Release Release Train Engineer (RTE) (M/F) at Airbus Helicopters. Skills: Release Train Engineer, Agile Release Train, Program Increment. Synchronize the \"Team of Teams\". Design communication architecture", "postedDate" : "2026-06-02T16:01:30.205", "createdAt" : "2026-06-04T16:01:30.179", "lastUpdated" : "2026-06-05T03:34:45.465", "ingestTimestamp" : "2026-06-04T16:01:30.179", "mongoId" : "6a213ac574d8ee00a0ba1e21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Marseille-Area/XMLNAME--CORE-Data---Analytics-Release-Release-Train-Engineer--RTE---M-F-_JR10404796-1", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Flow Metrics", "Velocity tracking", "Program Predictability Measure", "Flow Efficiency", "ART maturity levels", "Servant Leadership", "Systems thinking", "Release Train Engineer", "Agile Release Train", "Program Increment", "Lean-Agile principles", "Lean budgeting", "Value stream management", "Program Increment planning", "Agile coaching", "Conflict resolution", "Risk mitigation", "Backlog management", "WSJF prioritization", "Agile", "Lean-Agile", "PI Planning", "Inspect & Adapt", "Scrum of Scrums", "Program Backlog", "WSJF", "Aviation industry", "Aerospace industry", "Data challenges", "SAFe Framework", "Program Board" ], "skillCount" : 31, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 847.2146, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aeronautics" }, { "id" : "6a2ca5c674d8ee00a09b809f", "title" : "GTM Engineer - Data & Analytics", "company" : "OH. io", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level GTM Engineer - Data & Analytics in Columbus, United States, adjusted for the SaaS industry and company size." }, "location" : "Columbus, OH ", "locations" : [ "Columbus", "OH" ], "timestamp" : "2026-06-16T07:17:06.759", "fingerprint" : "9f5b8613c83fab8627a3ec50bab567b9140220345f7542f26c5674db1da207b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ohio/jobs/4064706009", "externalId" : "4064706009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "React, Rails, Python, SQL, LLMs, AI APIs, HubSpot, Clay, Instantly, Gong, N8n, Zapier, APIs", "professionalSkills" : [ "Data infrastructure", "AI workflows", "Data pipelines", "Lead scoring", "Pipeline forecasts", "Conversion analyses", "API integration", "Data enrichment", "Dashboards", "Reporting" ], "hardSkillsList" : [ "Data modeling", "Automation", "API development" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, AI Automation, GTM Systems", "majorSkillsList" : [ "Data Engineering", "AI Automation", "GTM Systems" ], "coreResponsibilities" : "Create GTM data infrastructure, Maintain GTM data infrastructure, Build agentic AI workflows, Deploy agentic AI workflows, Surface insights using AI, Trigger actions using AI, Architect data pipelines, Connect GTM tools, Keep data accurate, Keep systems in sync, Develop lead scoring models, Develop pipeline forecasts, Develop conversion analyses, Integrate third-party APIs, Integrate MCP servers, Automate enrichment workflows, Build dashboards, Build reporting, Track KPIs, Track pipeline health, Track GTM performance, Partner with RevOps, Partner with SDRs, Partner with AEs, Partner with marketing specialists, Ship solutions, Support portfolio companies, Provide hands-on data work, Provide hands-on technical work", "teamCollaboration" : "GTM Pods; RevOps; SDRs; AEs; Marketing specialists", "domainKnowledge" : "B2B GTM systems; LLMs; AI tooling", "domainList" : [ "b2b-gtm-systems", "llms", "ai-tooling" ], "domainSpecificKnowledge" : [ "B2B GTM systems", "LLMs", "AI tooling" ], "toolProficiency" : [ "N8n", "HubSpot", "Clay", "Instantly", "Gong", "Zapier" ], "problemSolvingSkills" : "Problem-solving instincts", "outcomesObjectives" : "Turn sales data into actionable intelligence; Drive revenue for OH. io; Drive revenue for portfolio companies; Give sales teams sharper view", "qualificationsBasic" : "Coding is your default skillset, Experience in React, Rails, Python or SQL, Ability to show a portfolio of work", "qualificationsPreferred" : "Familiarity with LLMs and AI tooling, Working knowledge of B2B GTM systems, Experience with workflow automation is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About OH.io OH.io is transforming Columbus into America’s startup technology capital — the global hub where capital, talent, and opportunity converge. Backed by Ratmir Timashev and powered by an AI-driven Go-To-Market Accelerator, we ignite B2B SaaS founders with GTM acceleration to build global companies from Columbus. With capital ready to deploy, a deep bench of talent, and the gravitational pull of Fortune 500 anchors, OH.io is making Columbus not just competitive—but indispensable. Through our GTM Acceleration Pods, we deliver specialized teams that drive growth and support every portfolio resident. As part of this mission, we are building a local GTM Hub office in Columbus to serve as the center of activity and collaboration. GTM Engineer – Data & Analytics The GTM Engineer (Data & Analytics) is a technical operator embedded within OH.io's GTM Pods, reporting to the Director of Demand Generation. This role builds data-driven GTM systems from scratch — writing code, automating pipelines, and turning sales data into clean infrastructure and actionable intelligence that drives revenue for OH.io and its portfolio companies. Columbus, OH required. Key Responsibilities Create and maintain GTM data infrastructure — owning the data layer across portfolio CRM's Build and deploy agentic AI workflows using LLMs and automation tools (n8n, APIs) to surface insights and trigger actions across the sales cycle Architect lightweight data pipelines that connect HubSpot, Clay, Instantly, and other GTM tools — keeping data accurate and systems in sync Develop lead scoring models, pipeline forecasts, and conversion analyses that give sales teams a sharper view of where to focus Integrate third-party APIs and MCP servers to expand data coverage and automate enrichment workflows Build dashboards and reporting that track KPIs, pipeline health, and GTM performance in a way non-technical teammates can act on Partner with RevOps, SDRs, AEs, and marketing specialists inside Pods to ship solutions that solve real, day-to-day GTM problems Support portfolio companies with hands-on data and technical work during onboarding and scaling Qualifications Coding is your default skillset. Experience in React, Rails, Python or SQL. Ability to show a portfolio of work: scripts, automations, models, dashboards — something built, not just described Familiarity with LLMs and AI tooling — comfortable building prompts, agents, or wiring up AI APIs Working knowledge of B2B GTM systems (HubSpot, Clay, Instantly, Gong) or a demonstrated ability to pick up new tools fast Experience with workflow automation (n8n, Zapier, or custom API integrations) is a plus Strong problem-solving instincts — you'd rather build a fix than wait for one Comfortable working in a fast-moving, startup environment where the scope of the role will grow with you", "summaryDescription" : "GTM Engineer - Data & Analytics at OH. io. Skills: Data Engineering, AI Automation, GTM Systems. Create GTM data infrastructure. Maintain GTM data infrastructure", "postedDate" : "2026-06-14T18:02:31.971", "createdAt" : "2026-06-14T18:02:31.971", "lastUpdated" : "2026-06-16T07:17:06.759", "ingestTimestamp" : "2026-06-14T18:02:31.971", "mongoId" : "6a2ca5c674d8ee00a09b809f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Automation", "API development", "Data Engineering", "AI Automation", "GTM Systems", "Data infrastructure", "AI workflows", "Data pipelines", "Lead scoring", "Pipeline forecasts", "Conversion analyses", "API integration", "Data enrichment", "Dashboards", "Reporting", "B2B GTM systems", "LLMs", "AI tooling", "N8n", "HubSpot", "Clay", "Instantly", "Gong", "Zapier" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 845.57916, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056caf292fd229cf2ec11", "title" : "Analytics Engineer", "company" : "Dashlane", "industry" : "SaaS", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer in Paris, France, adjusted for mid-seniority in the technology industry." }, "location" : "Paris, France", "locations" : [ "Paris", "France" ], "timestamp" : "2026-06-16T08:18:32.514", "fingerprint" : "fff1cba27d816a1cae570db6f050f666615963834c8e243aa36d1b19925db66b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dashlane/jobs/7988501", "externalId" : "7988501", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, AWS, Redshift, S3, Lambda, Kinesis, Glue, Airflow, GitLab, Claude Code", "professionalSkills" : [ "Data modeling", "Data transformation", "AI integration" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "AI tooling" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "AI tooling", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, AI implementation", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "AI implementation" ], "coreResponsibilities" : "Uncover true business need, Drive alignment on initiatives, Take ownership of initiatives, Integrate GenAI tooling, Accelerate development with AI, Mentor organisation on AI tools", "teamCollaboration" : "Collaborative team environment", "domainKnowledge" : "Credential security", "domainList" : [ "credential-security" ], "domainSpecificKnowledge" : [ "Credential security" ], "toolProficiency" : [ "Dbt", "Airflow", "GitLab", "Claude Code" ], "continuousLearning" : "Value learning", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Untangle complex data puzzles", "outcomesObjectives" : "Drive efficiency with AI; Drive creativity with AI; Drive impact with AI", "qualificationsBasic" : "Fluent in English, 5+ years experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Dashlane Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally. We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner. About the role: At Dashlane, we believe that data is an engine of growth and the voice of our customer. We are looking for a Analytics Engineer to join our collaborative and impact-driven Data you uncover the true business need, drive alignment, and take proactive ownership of initiatives from end to end. You are an \"AI Champion.\" You are fluent with AI coding platforms such as Claude Code and you already have demonstrated experience integrating modern GenAI tooling into your day-to-day analytics workflow to accelerate development, and you are eager to mentor the rest of the organisation on these tools. You thrive in an autonomous, high-exposure environment and have a relentless curiosity to untangle complex data puzzles. You are fluent in English: verbal and written. Our Tech Stack: Data Modeling & Transformation: dbt Programming Languages: SQL, Python Data Platform: AWS (Redshift, S3, Lambda, Kinesis, Glue) BI & Visualisation: Omni Orchestration: Airflow CI/CD & Version Control: GitLab AI: Claude Code What Dashlane offers you: Flex Benefits - allocate a monthly amount to a pool of benefits Health insurance covered by Dashlane 5 extra vacation days each year, plus your birthday off Company wide well-being days (one per quarter) Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption Work schedule exemption - plan your work schedule in alignment with your manager Donation matching program - Dashlane will match your donations to organizations driving positive impact in historically marginalized communities Access mental health services through Spring Health, available for you and your family members Team building & social events - weekly lunch in the office and monthly happy hour and much more Diversity, Equity, Inclusion and Belonging at Dashlane: As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here. Your interview experience: To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.", "summaryDescription" : "Analytics Engineer at Dashlane. Skills: Data engineering, Analytics engineering, AI implementation. Uncover true business need. Drive alignment on initiatives", "postedDate" : "2026-06-15T23:20:00.195", "createdAt" : "2026-06-15T23:20:00.195", "lastUpdated" : "2026-06-16T08:18:32.514", "ingestTimestamp" : "2026-06-15T23:20:00.195", "mongoId" : "6a3056caf292fd229cf2ec11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Business intelligence", "AI tooling", "Data engineering", "Analytics engineering", "AI implementation", "Data modeling", "Data transformation", "AI integration", "Credential security", "Dbt", "Airflow", "GitLab", "Claude Code" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 845.1258, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a52d974d8ee00a05fbe89", "title" : "Press Release Operations Specialist", "company" : "Muck Rack", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Press Release Operations Specialist in India, adjusted for full-time employment and the technology industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-14T22:18:20.250", "fingerprint" : "82633ecd9212058e724929a03819d0f30206d1572fe030c2c8ed3428151ad6df", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/muckrack/jobs/8583314002", "externalId" : "8583314002", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SaaS, CRM systems, Ticketing platforms", "professionalSkills" : [ "Press release distribution", "Newsroom content management", "Operational support", "Earned media" ], "hardSkillsList" : [ "Formatting troubleshooting", "Scheduling troubleshooting", "Publishing troubleshooting", "Distribution troubleshooting", "Newsroom management", "Publishing functionality" ], "hardSkills" : [ { "name" : "Formatting troubleshooting", "level" : "intermediate" }, { "name" : "Scheduling troubleshooting", "level" : "intermediate" }, { "name" : "Publishing troubleshooting", "level" : "intermediate" }, { "name" : "Distribution troubleshooting", "level" : "intermediate" }, { "name" : "Newsroom management", "level" : "intermediate" }, { "name" : "Publishing functionality", "level" : "intermediate" } ], "majorSkills" : "Press release distribution, Newsroom management, Customer support", "majorSkillsList" : [ "Press release distribution", "Newsroom management", "Customer support" ], "coreResponsibilities" : "Support customers through press release distribution, Troubleshoot formatting issues, Troubleshoot scheduling issues, Troubleshoot publishing issues, Troubleshoot distribution issues, Assist customers with newsroom management, Assist customers with publishing functionality, Monitor release status, Provide status updates, Provide confirmations, Escalate technical issues, Communicate professionally during urgent situations, Communicate professionally during time-sensitive situations, Maintain internal documentation, Improve internal documentation, Maintain internal workflows, Improve internal workflows, Maintain operational processes, Improve operational processes", "teamCollaboration" : "Customer Support teams; Customer Success teams; Product teams; Engineering teams", "domainKnowledge" : "Public relations; Communications; Earned media; Media database; Media monitoring; PR reporting; Newsroom workflows", "domainList" : [ "public-relations", "communications", "earned-media", "media-database", "media-monitoring", "pr-reporting", "newsroom-workflows" ], "domainSpecificKnowledge" : [ "Public relations", "Communications", "Earned media", "Media database", "Media monitoring", "PR reporting", "Newsroom workflows" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Internal documentation", "continuousLearning" : "Mastering new tools; Mastering platforms; Mastering workflows", "problemSolvingSkills" : "Troubleshoot formatting; Troubleshoot scheduling; Troubleshoot publishing; Troubleshoot distribution; Resolve customer issues", "specialRequirements" : "12:00 PM – 9:00 PM ET, Up to 10% travel", "outcomesObjectives" : "Deliver accurate support; Deliver timely support; Maintain high customer satisfaction; Maintain high responsiveness; Resolve operational issues; Resolve customer issues; Minimal escalation; Attention to detail; Contribute to process improvements; Contribute to documentation updates; Building expertise", "qualificationsBasic" : "Written communication skills, Verbal communication skills, Exceptional attention to detail, Organizational abilities, Manage multiple priorities, Manage deadlines simultaneously, Comfortable in fast-paced environment, Comfortable in customer-facing environment, Mastering new tools, Mastering platforms, Mastering workflows, Calm under pressure, Professional under pressure, Solutions-oriented under pressure", "qualificationsPreferred" : "Experience in customer support, Experience in operations, Experience in customer-facing roles, Familiarity with PR, Familiarity with media relations, Familiarity with press release distribution, Familiarity with newsroom workflows, AP Style familiarity, Experience supporting SaaS products, Experience supporting CRM systems, Experience supporting ticketing platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently. Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do. We're looking for a detail-oriented and customer-focused Press Release Operations Specialist. As a Press Release Operations Specialist, you'll play a critical role in helping customers successfully distribute press releases and manage newsroom content through Muck Rack's platform. You'll work directly with customers to troubleshoot issues, ensure timely and accurate distribution, and provide operational support during high-visibility communications moments. This is an excellent opportunity for someone early in their career who thrives in fast-paced environments, enjoys solving problems, and takes pride in delivering exceptional customer experiences. Working Hours: 12:00 PM – 9:00 PM ET (hours may vary during onboarding and training) What you’ll do: Support customers through the press release distribution process from submission to delivery Troubleshoot formatting, scheduling, publishing, and distribution issues Assist customers with newsroom management and publishing functionality Monitor release status and provide updates or confirmations as needed Escalate technical issues to Product and Engineering teams when appropriate Communicate clearly and professionally during urgent or time-sensitive situations Maintain and improve internal documentation, workflows, and operational processes Partner closely with Customer Support, Customer Success, Product, and Engineering teams to resolve customer issues How success will be measured in this role: Consistently delivering accurate and timely support for press release distributions Maintaining high levels of customer satisfaction and responsiveness Successfully resolving operational and customer issues with minimal escalation Demonstrating strong attention to detail across distribution workflows Contributing to process improvements and documentation updates Building expertise in Muck Rack's press release and newsroom products If the details below describe you, you could be a great fit for this role: Strong written and verbal communication skills Exceptional attention to detail and organizational abilities Ability to manage multiple priorities and deadlines simultaneously Comfortable working in a fast-paced, customer-facing environment Quick learner who enjoys mastering new tools, platforms, and workflows Calm, professional, and solutions-oriented under pressure Experience in customer support, operations, or customer-facing roles is preferred Familiarity with PR, media relations, press release distribution, or newsroom workflows is a plus AP Style familiarity is a plus Experience supporting SaaS products, CRM systems, or ticketing platforms is preferred Proactively incorporate AI tools into day-to-day work to improve productivity and accelerate delivery Interview Overview Below you'll find an outline of the interview plan for our Solutions Support Specialist role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. 30 min interview with a member of our Talent Team A 1 hour zoom interview with the hiring manager Take-home assignment (2 hours max) Peer panel with several team members 30-minute Bar Raiser Travel & Team Engagement Expectations This role requires up to 10% travel for team collaboration, customer engagements, and company events. As part of our commitment to building strong connections across our fully distributed team, attendance at our annual company offsite (typically held in Mexico) is expected. Salary In the US, the starting salary for this role is $27/hour. Total compensation for this role consists of base salary and a quarterly bonus plan. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards. Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate. Why Muck Rack? Remote Work, Forever Fully distributed team with a permanent remote setup Home office stipend, phone and internet reimbursement, coworking membership Virtual and in-person team bonding (lunches, events, competitions) Transparent & Fair Compensation Competitive geo-neutral pay in the U. S. Annual reviews to ensure equity and market alignment Standardized bonus or commission structure 401(k) with employer contributions Equity opportunities Health & Wellness Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents 100% premium coverage for individuals on high-deductible plans 24/7 Virtual Care and Employee Assistance Program Employer-funded HSA contributions and other pre-tax benefits Quarterly wellness stipend and free Headspace subscription Time Off & Family Benefits 4+ weeks of PTO, plus paid sick and mental health days 13 paid holidays with the option to swap for personal days Up to 16 weeks of fully paid parental leave Learning and Development Transparent pathways for internal mobility and promotion Bi-annual performance reviews, team workshops, and leadership training Unlimited access to Coursera and O’Reilly 2 additional PTO days annually for learning and development Inclusive, Customer-First Culture Commitment to equity and valuing diverse perspectives Agile, founder-led company focused on collaboration and innovation Trusted by 3,000+ companies worldwide Note: Benefits and compensation reflect offerings for U.S.-based employees. Support is provided for employees in other locations, in compliance with local laws and regulations. While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email. While we enjoy many benefits as a permanently distributed and remote company, we cannot always support relocation or extended travel and have guidelines in place to ensure compliant work away from your designated permanent residence. #LI-Remote Please note: For detailed information regarding our GDPR and/or CCPA compliance policies, including how we handle personal data and privacy rights, kindly refer to the email correspondence accompanying this application. Muck Rack does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to Muck Rack will be considered Muck Rack property, and Muck Rack will not pay a fee should it hire the subject of any unsolicited resume. Muck Rack considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law. Note to applicants/job seekers: We have recently been made aware of scams impersonating Muck Rack’s HR team. Please be cautious of these attempts to elicit banking or other financial or sensitive information. Muck Rack will never request financial information during the interview process, and follow ups for interviews or next steps will always come from an ‘@muckrack.com’ email address. If you are contacted by anyone from a different domain who claims to be from Muck Rack, please forward the communication to legal@muckrack.com.", "summaryDescription" : "Press Release Operations Specialist at Muck Rack. Skills: Press release distribution, Newsroom management, Customer support. Support customers through press release distribution. Troubleshoot formatting issues", "postedDate" : "2026-06-11T19:26:34.000", "createdAt" : "2026-06-11T19:26:34.000", "lastUpdated" : "2026-06-14T22:18:20.250", "ingestTimestamp" : "2026-06-11T19:26:34.000", "mongoId" : "6a2a52d974d8ee00a05fbe89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Formatting troubleshooting", "Scheduling troubleshooting", "Publishing troubleshooting", "Distribution troubleshooting", "Newsroom management", "Publishing functionality", "Press release distribution", "Customer support", "Newsroom content management", "Operational support", "Earned media", "Public relations", "Communications", "Media database", "Media monitoring", "PR reporting", "Newsroom workflows" ], "skillCount" : 17, "jobCategory" : "customer-service", "jobSubcategory" : "customer-success", "dataQualityScore" : 0.8888889, "_score" : 844.1798, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2e934374d8ee00a0e0f6a3", "title" : "Senior Data Engineer (m/f/d)", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Berlin, Germany, adjusted for the technology industry and senior experience level." }, "location" : "Berlin", "locations" : [ "Berlin", "Germany" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:06:33.845", "fingerprint" : "6c6a303a211a2f67400ccae9beda592da5d037ad02e0f0ece951ecf2eed13b77", "source" : "join_com", "language" : "de", "applyUrl" : "https://join.com/companies/beesandbears/16279953-senior-data-engineer-m-f-d-berlin", "externalId" : "16279953", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "System design", "ETL development" ], "hardSkillsList" : [ "Data warehousing", "Data pipelines", "Database management", "Machine learning", "Statistical analysis", "A/B testing" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "coreResponsibilities" : "Design data pipelines, Build data models, Optimize data warehouse performance, Develop ETL processes, Implement data quality checks, Collaborate with data scientists, Collaborate with analysts, Maintain data infrastructure", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Technical communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "summaryDescription" : "Senior Data Engineer (m/f/d). Design data pipelines. Build data models", "createdAt" : "2026-06-14T18:26:41.976", "lastUpdated" : "2026-06-16T01:06:33.845", "ingestTimestamp" : "2026-06-14T18:26:41.976", "mongoId" : "6a2e934374d8ee00a0e0f6a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "Data pipelines", "Database management", "Machine learning", "Statistical analysis", "A/B testing", "Data modeling", "System design", "ETL development", "Agile methodologies", "Cloud data stacks", "ML frameworks", "BI platforms", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 841.57733, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a550a74d8ee00a060575b", "title" : "Design Release Engineer - Audio Systems", "company" : "ALTEN Technology USA", "industry" : "Engineering", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Design Release Engineer - Audio Systems in Troy, United States, adjusted for industry and company size." }, "location" : "Troy, Michigan, United States", "locations" : [ "Troy", "Michigan", "United States" ], "timestamp" : "2026-06-14T21:47:00.292", "fingerprint" : "8ee300c9ea5bd7eb8c4b456582e6324fddeae3f381d71dee399d05d767a5acf4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/altentechnologyusa/jobs/5160441007", "externalId" : "5160441007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Troy", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6055893,-83.1499304" } ], "locationText" : "Troy, Michigan, United States", "technicalSkills" : "Software development, Hardware development", "professionalSkills" : [ "Product development", "Technical requirements", "Technical risks", "Component shortage", "Technologic roadmaps", "Root cause analysis" ], "hardSkillsList" : [ "Packaging", "Integration", "DFMEA", "Test plans", "Benchmark solutions", "Component CCD", "Component CN", "Component IAA", "Component PER", "Component TSA", "Chip shortage", "Material shortage", "Amplifier SW delivery", "APQP process", "ASPICE", "Technologic roadmaps", "Cross-functional teams" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Packaging", "level" : "intermediate" }, { "name" : "Integration", "level" : "intermediate" }, { "name" : "DFMEA", "level" : "intermediate" }, { "name" : "Test plans", "level" : "intermediate" }, { "name" : "Benchmark solutions", "level" : "intermediate" }, { "name" : "Component CCD", "level" : "intermediate" }, { "name" : "Component CN", "level" : "intermediate" }, { "name" : "Component IAA", "level" : "intermediate" }, { "name" : "Component PER", "level" : "intermediate" }, { "name" : "Component TSA", "level" : "intermediate" }, { "name" : "Chip shortage", "level" : "intermediate" }, { "name" : "Material shortage", "level" : "intermediate" }, { "name" : "Amplifier SW delivery", "level" : "intermediate" }, { "name" : "APQP process", "level" : "intermediate" }, { "name" : "ASPICE", "level" : "intermediate" }, { "name" : "Technologic roadmaps", "level" : "intermediate" }, { "name" : "Cross-functional teams", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Product development, Audio systems, Component management", "majorSkillsList" : [ "Product development", "Audio systems", "Component management" ], "coreResponsibilities" : "Lead product development, Create Part Numbers, Maintain Part Numbers, Support packaging, Integrate audio components, Translate requirements, Support codesign activities, Ensure integrity of deliverables, Identify technical risks, Assess technical risks, Contribute to countermeasures, Minimize impacts, Define test plans, Benchmark technical solutions, Initiate component CCD, Process component CCD, Initiate component CN, Process component CN, Initiate component IAA, Process component IAA, Initiate component PER, Process component PER, Initiate component TSA, Process component TSA, Lead component shortage activities, Develop recovery plans, Maintain Amplifier SW delivery, Coordinate Amplifier SW delivery, Support APQP process, Contribute to definition, Improve technologies, Innovate technologies, Work with cross-functional teams, Identify root cause, Identify solution, Identify timing, Escalate issues, Develop recovery plans", "teamCollaboration" : "Cross-functional teams; Organizational areas; Style designers; Suppliers; Integrators; Interiors; Ergonomics; Testing; Customer experience; Supplier quality; Purchasing; Plants", "projectManagementSkills" : [ "Product development process" ], "domainKnowledge" : "Audio systems; Automotive; EVs; Amplifiers", "domainList" : [ "audio-systems", "automotive", "evs", "amplifiers" ], "domainSpecificKnowledge" : [ "Audio systems", "Automotive", "EVs", "Amplifiers" ], "documentationSkills" : "Drawings; Virtual validation reports; Simulation reports", "continuousLearning" : "Career growth opportunities", "innovationCreativity" : "Innovating technologies", "problemSolvingSkills" : "Root cause analysis; Identify solution; Identify timing; Develop recovery plans", "qualificationsBasic" : "5+ years experience, Translate customer requirements, Support APQP process, Familiarity with ASPICE", "qualificationsPreferred" : "Experience with audio components, Experience with amplifiers", "workSiteFlexibility" : "Onsite", "rawDescription" : "We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Job Description: Lead the product development process for audio components, create & Maintain Part Numbers Support packaging and integrating new audio components Translate customer level requirements into technical requirements (Functional, Software, Hardware and testing) Actively support and ensure the integrity of the codesign activities deliverables related to HW, SW and Mechanical development (eg: DFMEA, Drawings, virtual validation/simulation reports) Identify and assess technical risks on design changes and contribute to identify countermeasures to minimize impacts on quality, timing and costs (eg: defining robust test plans, benchmark technical solutions, technologies, or performances) Initiate & Process component CCD/CN/IAA/PER/TSA (including initial approval imperatives (cost, timing, etc.) and lead Component shortage activities/recovery plans (chip or material) Maintain and coordinate Amplifier SW delivery with supplier and internal stakeholders Support APQP process and basic familiarity with ASPICE Contribute to the definition of technologic roadmaps for continuously improving and innovating technologies in main areas of interest (eg: materials, mechanics, surfaces treatments, amplifiers). Work with cross-functional teams to identify the root cause of issues, solution and timing and escalates when needed with recovery plans. Will work in close contact with other organizational areas and specialists such as style designers, suppliers, integrators, interiors, ergonomics, testing, customer experience, supplier quality, purchasing, plants. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.", "summaryDescription" : "Design Release Engineer - Audio Systems at ALTEN Technology USA. Skills: Product development, Audio systems, Component management. Lead product development. Create Part Numbers", "postedDate" : "2026-06-11T19:06:51.035", "createdAt" : "2026-06-11T19:06:51.035", "lastUpdated" : "2026-06-14T21:47:00.292", "ingestTimestamp" : "2026-06-11T19:06:51.035", "mongoId" : "6a2a550a74d8ee00a060575b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Packaging", "Integration", "DFMEA", "Test plans", "Benchmark solutions", "Component CCD", "Component CN", "Component IAA", "Component PER", "Component TSA", "Chip shortage", "Material shortage", "Amplifier SW delivery", "APQP process", "ASPICE", "Technologic roadmaps", "Cross-functional teams", "Mentorship", "Product development", "Audio systems", "Component management", "Technical requirements", "Technical risks", "Component shortage", "Root cause analysis", "Product development process", "Automotive", "EVs", "Amplifiers" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.7777778, "_score" : 841.0391, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering" }, { "id" : "6a2ca43874d8ee00a09b0be6", "title" : "Commercial Analytics Werkstudent (m/f/d)", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 14.0, "max" : 15.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Düsseldorf, North Rhine-Westphalia, Germany", "locations" : [ "Düsseldorf", "North Rhine-Westphalia", "Germany" ], "timestamp" : "2026-06-15T05:19:19.950", "fingerprint" : "bc330eb480ab963ee6401ae55ce2606258f277462a34f00a94ba538a321919a8", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=7953588", "externalId" : "7953588", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Düsseldorf", "state" : "North Rhine-Westphalia", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.2254018,6.7763137" } ], "locationText" : "Düsseldorf, North Rhine-Westphalia, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, Excel, Google Sheets", "professionalSkills" : [ "Data analysis", "Business recommendations", "Commercial strategy", "Campaign analysis", "Pricing optimization", "Assortment improvement" ], "hardSkillsList" : [ "Data deep-dives", "Trend analysis", "Market positioning", "Growth opportunities", "Product performance analysis", "User behavior analysis", "Conversion drivers", "KPI reporting", "Price adjustments", "Promo action evaluation", "Customer value maximization" ], "softSkillsList" : [ "Proactive mentality", "Brainstorming ideas", "Asking critical questions" ], "hardSkills" : [ { "name" : "Data deep-dives", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Market positioning", "level" : "intermediate" }, { "name" : "Growth opportunities", "level" : "intermediate" }, { "name" : "Product performance analysis", "level" : "intermediate" }, { "name" : "User behavior analysis", "level" : "intermediate" }, { "name" : "Conversion drivers", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Price adjustments", "level" : "intermediate" }, { "name" : "Promo action evaluation", "level" : "intermediate" }, { "name" : "Customer value maximization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Proactive mentality" }, { "name" : "Brainstorming ideas" }, { "name" : "Asking critical questions" } ], "majorSkills" : "Data analysis, Commercial strategy, Business intelligence", "majorSkillsList" : [ "Data analysis", "Commercial strategy", "Business intelligence" ], "coreResponsibilities" : "Decrypt customer trends, Analyze market positioning, Uncover growth opportunities, Analyze product performance, Analyze user behavior, Derive business recommendations, Transform campaign data, Transform customer data, Evaluate marketing success, Understand conversion drivers, Build automated reporting tools, Maintain reporting tools, Support price adjustments, Support assortment updates, Support promo actions, Maximize customer value, Ensure data insights lead to improvements", "teamCollaboration" : "Cross-functional collaboration; Work with internal teams; Work with brand partners", "projectManagementSkills" : [ "Project responsibility" ], "domainKnowledge" : "Retail; FMCG; Digital Grocery; Pricing; Commercial Strategy", "domainList" : [ "retail", "fmcg", "digital-grocery", "pricing", "commercial-strategy" ], "domainSpecificKnowledge" : [ "Retail", "FMCG", "Digital Grocery", "Pricing", "Commercial Strategy" ], "toolProficiency" : [ "Google Sheets", "Excel", "Tableau" ], "innovationCreativity" : "Test new ideas", "problemSolvingSkills" : "Translate numbers into recommendations", "qualificationsBasic" : "Strong analytical mindset, Detail-oriented, Proficiency in Google Sheets / Excel, Fluent German, Fluent English", "qualificationsPreferred" : "Master's degree, Experience with Python, Interest in Retail, Interest in FMCG, Interest in Digital Grocery, Interest in Pricing, Interest in commercial strategy", "workSiteFlexibility" : "Flexible", "rawDescription" : "Kurz und knapp Bei Picnic basiert unser gesamtes Geschäftsmodell auf Daten. Für unser Team suchen wir analytische und neugierige Köpfe als Commercial Analytics Working Student. Du wirst Teil der Teams, die unseren digitalen Supermarkt am Laufen halten. Du tauchst tief in Datensätze ein, um unsere Preise zu optimieren, unser Sortiment zu verbessern, Kampagnen zu analysieren und genau die Insights zu finden, die unser Wachstum vorantreiben. Das erwartet dich Je nach deinem genauen Fokusbereich können folgende Aufgaben zu deinem Tag gehören: Data Deep-Dives: Nutze SQL, Python oder Excel, um Kundentrends zu entschlüsseln, unsere Marktpositionierung zu analysieren und neue Wachstumschancen aufzudecken. Kommerzielle Strategie: Analysiere die Produkt-Performance und das Nutzerverhalten in der App. Daraus leitest du konkrete Empfehlungen ab, die bestimmen, was wir verkaufen und wie wir es verkaufen. Kampagnen- & Partnerschafts-Analytics: Verwandle Kampagnen- und Kundendaten in echtes Wissen. Du bewertest den Erfolg von Marketingaktionen, damit unsere internen Teams und Markenpartner genau verstehen, was die Conversion antreibt. Dashboard-Building: Erstelle und pflege automatisierte Reporting-Tools in Tableau oder Google Sheets, um dem Team einen Einblick auf unsere wichtigsten KPIs zu geben. Optimierungsprojekte: Unterstütze bei der Umsetzung und Auswertung von Preisanpassungen, Sortiments-Updates und Promo-Aktionen, um den Mehrwert für unsere Kunden zu maximieren. Abteilungsübergreifende Zusammenarbeit: Arbeite eng mit verschiedenen Teams zusammen, um sicherzustellen, dass unsere Daten-Insights auch zu echten, nachhaltigen Verbesserungen führen. Das bringst du mit Du bist idealerweise in der Endphase deines Bachelorstudiums oder machst bereits deinen Master in Wirtschaftswissenschaften, BWL, E-Commerce, Analytics, Retail, Wirtschaftsingenieurwesen oder einem ähnlichen Bereich. Ein starkes analytisches Mindset – du liebst die Arbeit mit Daten und übersetzt Zahlen gerne in konkrete Businessempfehlungen. Ein scharfes Auge fürs Detail, damit keine falschen Infos in der App sind. Sicherer Umgang mit Google Sheets / Excel und Dashboards, idealerweise erste Erfahrung mit Python oder Ähnlichem. Interesse an Retail, FMCG, Digital Grocery, Pricing oder kommerzieller Strategie. Organisationsgeschick und eine proaktive Mentalität – du übernimmst gerne Verantwortung für deine Projekte von Anfang bis Ende. Du hast Spaß daran, Ideen zu brainstormen, kritische Fragen zu stellen und Energie ins Team zu bringen. Du bist 16–20 Stunden pro Woche verfügbar. Fließende Deutsch- und Englischkenntnisse. Darauf kannst du dich freuen Starte mit uns durch: Werde Teil unseres internationalen Teams in einem Umfeld, das echtes Wachstum und eine „Act like an Owner“-Mentalität fördert. Bei uns hast du die Chance, Projekte eigenverantwortlich voranzutreiben, neue Ideen zu testen und direkt miterleben zu können, wie deine Arbeit in unserem schnell wachsenden Unternehmen Wirkung zeigt. Verpflegung: Genieße jeden Tag ein frisches, kostenloses Frühstück und Mittagessen in unserem Büro, dazu gibt es reichlich Snacks und Obst für den Energiekick zwischendurch. Unvergessliche Momente: Von unserem legendären jährlichen Ski-Trip über Weihnachtsfeiern bis hin zu Auftritten unserer eigenen Picnic-Band: Wir feiern unsere Erfolge gemeinsam. Ein moderner Workspace: Unser neu renoviertes Büro ist auf Zusammenarbeit ausgelegt und bietet dir flexible Arbeitszeiten sowie 30 Urlaubstage (bei einer 40-Stunden-Woche). Wohlbefinden & Gleichgewicht: Wir bieten dir professionelle Unterstützung für deine mentale Gesundheit mit OpenUp. Und dank unseres hundefreundlichen Büros ist dein vierbeiniger Begleiter nach Absprache willkommen. Die Basics: Wir stellen dir alles für deinen Erfolg bereit - inklusive Laptop sowie Zugang zu exklusiven Rabatten (Corporate Benefits) für Reisen, Technik und vieles mehr. Nachhaltigkeit als Kern: Werde Teil der Revolution. Du trägst zu einer grüneren Zukunft bei – durch unsere 100 % elektrische Flotte und unsere Lieferkette, die Lebensmittelverschwendung reduziert. Attraktive Vergütung: Als WerkstudentIn verdienst du 14,75 €/Std. (Bachelor) bzw. 15,50 €/Std. (Master) und sammelst spannende Praxiserfahrung. Schick uns deine Bewerbung gern auf Englisch, wenn du schon eine englische Version parat hast.", "summaryDescription" : "Commercial Analytics Werkstudent (m/f/d) at Picnic. Skills: Data analysis, Commercial strategy, Business intelligence. Decrypt customer trends. Analyze market positioning", "postedDate" : "2026-06-14T03:34:06.037", "createdAt" : "2026-06-14T03:34:06.037", "lastUpdated" : "2026-06-15T05:19:19.950", "ingestTimestamp" : "2026-06-14T03:34:06.037", "mongoId" : "6a2ca43874d8ee00a09b0be6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data deep-dives", "Trend analysis", "Market positioning", "Growth opportunities", "Product performance analysis", "User behavior analysis", "Conversion drivers", "KPI reporting", "Price adjustments", "Promo action evaluation", "Customer value maximization", "Proactive mentality", "Brainstorming ideas", "Asking critical questions", "Data analysis", "Commercial strategy", "Business intelligence", "Business recommendations", "Campaign analysis", "Pricing optimization", "Assortment improvement", "Project responsibility", "Retail", "FMCG", "Digital Grocery", "Pricing", "Commercial Strategy", "Google Sheets", "Excel", "Tableau" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 839.53955, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa6", "title" : "Data Analytics Engineer", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics Engineer in Bengaluru, India, adjusted for mid-seniority level and the automotive industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T10:36:08.708", "fingerprint" : "2175e871fd68ba98fcacc5559eb6a7fc0d93e08c196cf2289a8ad112621b7dac", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=878225", "externalId" : "878225", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, NumPy, Pandas, Matplotlib, Plotly, SQL, AWS, GCP, Azure, CAN, LIN, MDF, ROS bags, ARXML", "professionalSkills" : [ "Data analysis", "Root cause analysis", "Model validation", "Performance analysis" ], "hardSkillsList" : [ "Statistical reporting", "Data cleaning", "Data preprocessing", "Data transformation", "Scenario extraction", "Dataset quality checks" ], "softSkillsList" : [ "Ownership mindset" ], "hardSkills" : [ { "name" : "Statistical reporting", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Scenario extraction", "level" : "intermediate" }, { "name" : "Dataset quality checks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" } ], "majorSkills" : "ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines", "majorSkillsList" : [ "ADAS data analysis", "Vehicle data analysis", "Data visualization", "Data pipelines" ], "coreResponsibilities" : "Analyze ADAS sensor data, Analyze vehicle dynamics data, Analyze ECU log data, Identify patterns, Identify anomalies, Identify performance trends, Understand ADAS algorithm behaviour, Understand KPI definitions, Understand performance metrics, Support model validation, Generate statistical reports, Generate performance summaries, Perform scenario-based evaluations, Build dashboards, Build data visualizations, Build automated reporting pipelines, Clean datasets, Preprocess datasets, Transform datasets, Perform root-cause analysis, Collaborate with engineers, Refine feature KPIs, Refine data requirements, Support scenario extraction, Support annotation reviews, Support dataset quality checks, Improve ADAS performance, Document findings, Document insights, Document recommendations", "teamCollaboration" : "Work with engineering teams; Collaborate with software engineers; Collaborate with systems engineers; Collaborate with calibration engineers; Work in cross-functional teams", "domainKnowledge" : "ADAS functions; ACC; AEB; LDW/LKA; BSD; CTA; Park Assist; TJA; Highway Assist; Automotive diagnostics; MDF log format; ROS bags format; ARXML format; Vehicle dynamics; Sensor fusion; ISO 26262; SOTIF; Automotive safety standards; AI/ML automotive applications; ADAS test vehicles; Simulation tools; Proving grounds", "domainList" : [ "adas-functions", "acc", "aeb", "ldw-lka", "bsd", "cta", "park-assist", "tja", "highway-assist", "automotive-diagnostics", "mdf-log-format", "ros-bags-format", "arxml-format", "vehicle-dynamics", "sensor-fusion", "iso-26262", "sotif", "automotive-safety-standards", "ai-ml-automotive-applications", "adas-test-vehicles", "simulation-tools", "proving-grounds" ], "domainSpecificKnowledge" : [ "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", "Proving grounds" ], "toolProficiency" : [ "Jupyter", "Power BI", "Tableau", "Vector CANape", "Vector CANalyzer", "DSPACE", "OxTS", "Mobileye logs" ], "communicationSkills" : "Technical reports", "documentationSkills" : "Document findings; Document insights; Document recommendations", "problemSolvingSkills" : "Problem-solving; Root-cause analysis", "outcomesObjectives" : "Improve ADAS performance", "qualificationsBasic" : "Bachelor's/Master's degree, Python experience, NumPy experience, Pandas experience, Matplotlib/Plotly experience, Jupyter experience, SQL experience, Cloud data platforms experience, ADAS functions understanding, CAN familiarity, LIN familiarity, Automotive diagnostics familiarity, Log formats familiarity, Vehicle dynamics exposure, Sensor fusion concepts exposure, ML pipeline basics exposure, Power BI/Tableau experience, Analytical skills, Problem-solving skills, Communication skills", "qualificationsPreferred" : "Sensor data tools experience, ISO 26262 understanding, SOTIF understanding, Automotive safety standards understanding, AI/ML automotive applications familiarity, ADAS test vehicles experience, Simulation tools experience, Proving grounds experience", "remoteFriendly" : false, "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Role Overview We are seeking a skilled Data Analyst with strong automotive analytics expertise to support our ADAS development, validation, and continuous improvement initiatives. The role involves analyzing large-scale vehicle datasets, driver behaviour insights, sensor performance logs, and algorithm outputs to deliver actionable insights for engineering, calibration, and safety teams. Key Responsibilities Analyze ADAS sensor data (camera, radar, lidar, ultrasonic), vehicle dynamics, and ECU log data to identify patterns, anomalies, and performance trends. Work with engineering teams to understand ADAS algorithm behaviour, KPI definitions, and performance metrics. Support model validation by generating statistical reports, performance summaries, and scenario-based evaluations. Build dashboards, data visualizations, and automated reporting pipelines for engineering and program teams. Clean, preprocess, and transform large datasets using Python, SQL, or cloud-based tools. Perform root-cause analysis of ADAS feature performance issues—false detections, missed detections, driver intervention events, etc. Collaborate with software, systems, and calibration engineers to refine feature KPIs and data requirements. Support scenario extraction, annotation reviews, and dataset quality checks. Work on continuous improvement of ADAS performance across markets, driving conditions, and environmental factors. Document findings, insights, and recommendations in clear technical reports. Required Skills & Qualifications Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Strong experience in Python, NumPy, Pandas, Matplotlib/Plotly, Jupyter. Hands-on experience with SQL and cloud data platforms (AWS/GCP/Azure preferred). Good understanding of ADAS functions such as: ACC, AEB, LDW/LKA, BSD, CTA, Park Assist, TJA, Highway Assist, etc. Familiarity with CAN, LIN, automotive diagnostics, log formats (MDF, ROS bags, ARXML). Exposure to vehicle dynamics, sensor fusion concepts, machine learning pipeline basics. Experience with visualization tools such as Power BI / Tableau. Strong analytical, problem-solving, and communication skills. Preferred / Nice-to-Have Skills Experience with sensor data tools (Vector CANape/CANalyzer, dSPACE, OxTS, Mobileye logs, etc.). Understanding of ISO 26262, SOTIF, and automotive safety standards. Familiarity with AI/ML applications in automotive. Experience working with ADAS test vehicles, simulation tools, or proving grounds. Soft Skills Strong ownership mindset and ability to work in cross-functional teams. Detail-oriented with a passion for data-driven engineering. Ability to break down complex engineering problems into simple insights. Qualifications - Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Data Analytics Engineer at Mercedes-Benz Research and Development India. Skills: ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines. Analyze ADAS sensor data. Analyze vehicle dynamics data", "createdAt" : "2026-06-14T01:53:16.158", "lastUpdated" : "2026-06-15T10:36:08.708", "ingestTimestamp" : "2026-06-14T01:53:16.158", "mongoId" : "69ce5e3b9bc74574cb677aa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical reporting", "Data cleaning", "Data preprocessing", "Data transformation", "Scenario extraction", "Dataset quality checks", "Ownership mindset", "ADAS data analysis", "Vehicle data analysis", "Data visualization", "Data pipelines", "Data analysis", "Root cause analysis", "Model validation", "Performance analysis", "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", "Proving grounds", "Jupyter", "Power BI", "Tableau", "Vector CANape", "Vector CANalyzer", "DSPACE", "OxTS", "Mobileye logs" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 837.7034, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307ca6f292fd229c04a86d", "title" : "Data & Analytics Engineer - Finance Systems", "company" : "Louis Dreyfus Company", "industry" : "International Trade And Development", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Analytics Engineer in Sofia, Bulgaria, adjusted for the Food & Beverage industry." }, "location" : "Sofia, Sofia City Province, BG", "locations" : [ "Sofia", "Sofia City Province", "BG" ], "timestamp" : "2026-06-16T12:13:23.084", "fingerprint" : "e331d39ec65b1fbb6494fbf5e7efa5a566b895a1b264e95bc023f677800c3e49", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LouisDreyfusCompany/744000132168929-data-analytics-engineer-finance-systems-", "externalId" : "744000132168929", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "state" : "Sofia City Province", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Sofia, Sofia City Province, Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL, Python, ETL, Data warehousing, Cloud platforms, Data modeling, Data visualization, Big data technologies, Machine learning frameworks", "professionalSkills" : [ "System design", "Data architecture" ], "hardSkillsList" : [ "ETL processes", "Data warehousing", "Data modeling", "Data visualization", "Big data technologies", "Machine learning frameworks" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Big data technologies", "level" : "intermediate" }, { "name" : "Machine learning frameworks", "level" : "intermediate" } ], "majorSkills" : "Data engineering, ETL, Data warehousing, Cloud platforms", "majorSkillsList" : [ "Data engineering", "ETL", "Data warehousing", "Cloud platforms" ], "coreResponsibilities" : "Design and implement ETL processes, Build and maintain data warehouses, Develop data models, Create data visualizations, Optimize data pipelines, Collaborate with stakeholders, Ensure data quality, Support data-driven decision making", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Finance systems", "domainList" : [ "finance-systems" ], "domainSpecificKnowledge" : [ "Finance systems" ], "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering, Experience with ETL processes, Experience with data warehousing, Experience with cloud platforms, Experience with SQL, Experience with Python", "qualificationsPreferred" : "Experience with data modeling, Experience with data visualization tools, Experience with big data technologies, Experience with machine learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. This role will have an impactful contribution to supporting and enhancing Louis Dreyfus Company's OneStream Enterprise Performance Management (EPM) platform, contributing to the delivery of accurate, reliable, and scalable financial planning, reporting, and performance management processes. Partnering with Finance, Data & Analytics teams, Business Process Owners, and external implementation partners, you will develop expertise in Enterprise Performance Management technologies while contributing to platform performance, data quality, governance, and operational stability. Brief: Support LDC’s OneStream-based Enterprise Performance Management platform from Sofia as a core technical engineer, delivering deep configuration, performance optimization, rule development, troubleshooting, and technical platform stability. This role contributes directly to building the Enterprise Performance Management Center of Excellence , enabling scalable operations, technical autonomy, and long‑term value creation across Daily P&L, Actuals, Forecasting, Group Reporting and future Enterprise performance management roadmap components. The resource will join at a key moment (platform ramp‑up and CoE build), work closely with experienced internal and external experts, and quickly take ownership of meaningful technical components that directly impact Finance performance and operational efficiency. Main Responsibilities: * Develop and enhance business rules, calculations, workflows, and data transformation processes. * Support financial reporting, forecasting, planning, and performance management solutions. * Troubleshoot platform issues and investigate data quality or integration challenges. * Work with Finance teams to understand business requirements and translate them into technical solutions. * Optimize system performance and improve reliability of financial processes. * Participate in testing, releases, and deployments across development and production environments. * Create technical documentation, support guides, and reusable development standards. * Collaborate with global stakeholders, implementation partners, and internal technology teams. * Contribute to the growth of the Enterprise Performance Management Center of Excellence and help build future best practices. What Makes This Opportunity Different * Join a newly established Center of Excellence and help shape its future. * Gain expertise in a highly specialized and sought-after technology domain. * Work directly with international Finance and Data teams. * Receive mentorship from experienced OneStream consultants and platform experts. * Exposure to large-scale global financial processes and enterprise systems. * Opportunity to grow into senior engineering, architecture, or product ownership roles. ## Qualifications What We're Looking For Education * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Mathematics, Economics, Finance Technology, or a related field. Experience * Еxperience in Software Development, Data Engineering, Business Intelligence, ERP Systems, Financial Systems, or similar technical roles. * Internship experience is welcomed. * Experience with OneStream, SAP, Oracle, NetSuite, Power BI, Tableau, ETL tools, or similar platforms is considered an advantage but is not required. Technical Skills We are looking for strong technical potential rather than specific platform expertise. Examples of relevant skills include: * SQL and database fundamentals. * Programming experience with Python, C#, Java, VB.NET, or similar languages. * Understanding of data integration and data transformation concepts. * Interest in analytics, reporting, and financial systems. * Familiarity with Git, Azure DevOps, or software delivery processes is a plus. Personal Qualities * Analytical mindset and strong problem-solving skills. * Curiosity and willingness to learn new technologies. * Strong communication and collaboration skills. * Ownership and attention to detail. * Ability to work effectively in a global and multicultural environment. Nice-to-Have Skills * Exposure to cloud technologies, automation, or APIs. * Knowledge of Power BI, data visualization, or reporting tools. * Interest in Python-based analytics, machine learning, or process automation. * Understanding of financial processes such as reporting, budgeting, forecasting, or consolidation. ## Additional Information Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits * 25 annual paid leave * Flexible working hours * Food vouchers * Transportation allowance * Additional medical & dental insurance * Life insurance * Sports card with 90/10 coverage * Various learning & development opportunities * Yearly performance evaluation plans * Social clubs & Wellbeing initiatives * Team buildings & social events * Employee Referral Program", "summaryDescription" : "Data & Analytics Engineer - Finance Systems at Louis Dreyfus Company. Skills: Data engineering, ETL, Data warehousing, Cloud platforms. Design and implement ETL processes. Build and maintain data warehouses", "postedDate" : "2026-06-15T10:48:19.000", "createdAt" : "2026-06-16T01:38:01.559", "lastUpdated" : "2026-06-16T12:13:23.084", "ingestTimestamp" : "2026-06-16T01:38:01.559", "mongoId" : "6a307ca6f292fd229c04a86d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "ETL processes", "Data warehousing", "Data modeling", "Data visualization", "Big data technologies", "Machine learning frameworks", "Data engineering", "ETL", "Cloud platforms", "System design", "Data architecture", "Finance systems" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 829.3401, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 129270, "totalPages" : 2586, "hasNext" : true, "hasPrevious" : false } }

Core Data Analytics Release Release Train Engineer Rte M F Jobs in London

Release Train Engineer - IT for MO

Freigabe (Release) Management

Freigabe (Release) Management

Release Manager II - VALORANT

SUMS- Freigabe (Release) Management

Junior Release Manager

Analytics Engineer (m/f/d)

Agile - Release Train Engineer (RTE) (Experienced and Senior)

Freigabe (Release) Management

Freight Release Coordinator

Configuration Release Management

Agile - Release Train Engineer (RTE) (Experienced and Senior)

Sr. Product Release Manager, Global Product Release Management

Sr. Release Engineer & Administration Manager (Salesforce)

Software Integration and Release Management

Staff Data Scientist, Core Data & Analytics

Software Integration and Release Management

Sr Release Manager, Design Engineering

Analytics Engineer/Data Analyst (f/m/d) - Data Pricing - Apprenticeship

Lead Analytics Engineer (f/m/d)

Product Analytics Lead (m/f/d)

Product Analytics Lead (m/f/d)

Data Engineer (m/f/d)

Data Engineer (m/f/d)

Section Lead ADAS Release & Delivery

Senior Data Engineer (f/m/d)

Data & Analytics Engineer

Design Release Engineer – Air Induction and Exhaust Systems

Senior Data & AI Engineer (m/f)

Senior Data & AI Engineer (m/f)

Senior Data and Analytics Engineer

Process Engineer (Release Train Engineer) Mid-Level & Senior

Release Engineer

Software Development Engineer II, Fleet Automation and Release Orchestration (FAROS)

Senior Data / Analytics Engineer

Young Graduate Data & AI Engineer (m/f)

Young Graduate Data & AI Engineer (m/f)

Senior Data Engineer, Analytics

EE Release Engineer_整车电子电气软件规划工程师

Data Engineer, Prime Video Core Analytics and Tooling

CBU EE Release Coordinator_整车电子电气软件规划工程师

CORE Data & Analytics Release Release Train Engineer (RTE) (M/F)

GTM Engineer - Data & Analytics

Analytics Engineer

Press Release Operations Specialist

Senior Data Engineer (m/f/d)

Design Release Engineer - Audio Systems

Commercial Analytics Werkstudent (m/f/d)

Data Analytics Engineer

Data & Analytics Engineer - Finance Systems

Common Questions