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Architects; Analysts; Data scientists; Engineering teams; Business stakeholders", "projectManagementSkills" : [ "Agile delivery", "Engineering best practices" ], "domainKnowledge" : "Data engineering best practices; Modern data platform architectures; Medallion Architecture; Data Lakehouse principles; Event-driven architectures; Distributed data processing; GenAI; AI-augmented development", "domainList" : [ "data-engineering-best-practices", "modern-data-platform-architectures", "medallion-architecture", "data-lakehouse-principles", "event-driven-architectures", "distributed-data-processing", "genai", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "Data engineering best practices", "Modern data platform architectures", "Medallion Architecture", "Data Lakehouse principles", "Event-driven architectures", "Distributed data processing", "GenAI", "AI-augmented development" ], "toolProficiency" : [ "Databricks", "Azure DevOps", "Azure Key Vault", "Azure Logic Apps", "Azure Service Bus", "Unity Catalog", "GitHub Copilot", "Claude Code", "Cursor" ], "communicationSkills" : "Technical communication; Business communication", "continuousLearning" : "Continuous professional development; Knowledge sharing", "innovationCreativity" : "Explore new technologies; Experiment with AI", "problemSolvingSkills" : "Problem-solving; Identify issues; Identify opportunities; Identify improvement areas", "specialRequirements" : "Work permit required", "qualificationsBasic" : "3+ years commercial experience, Senior engineering experience, Hands-on Python knowledge, Databricks experience, PySpark experience, Modern data analytics platforms experience, Azure cloud environments experience, Modular system components design, Data engineering best practices understanding, Medallion Architecture familiarity, Business requirements translation, Problem-solving skills, Organizational skills, Azure DevOps experience, CI/CD practices experience, Agile delivery environments experience, Work from EU region, Work permit required", "qualificationsPreferred" : "Databricks certification, Infrastructure as Code experience, MLOps practices experience, Kubernetes experience, Requirements engineering experience, Business analysis awareness, Event-driven architectures familiarity, Distributed data processing systems familiarity, GenAI structured application experience, Emerging AI-driven practices interest", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: build, maintain, and optimize data pipelines using Python, Databricks, and PySpark for batch and real-time processing, integrate data from multiple internal and external sources into the organization’s analytical platform, maintain, enhance, and support the analytical database and the surrounding data ecosystem, collaborate with business stakeholders and cross-functional teams to deliver data products that meet business needs and timelines, identify technical debt and continuously improve platform reliability, maintainability, and performance, build and manage Databricks Workflows for large-scale data orchestration, develop, deploy, and maintain PyFunc models within production environments, implement secure secrets and configuration management using Azure Key Vault, automate data flows and business processes using Azure Logic Apps, design, develop, and optimize ETL and ELT pipelines following data engineering best practices, govern and manage data assets using Unity Catalog and Data Lakehouse principles, implement messaging and event-driven workflows using Azure Service Bus, collaborate closely with architects, analysts, data scientists, and engineering teams to deliver end-to-end data solutions, contribute to CI/CD processes and deployment automation using Azure DevOps, ensure high quality through testing, monitoring, troubleshooting, and continuous improvement activities, depending on seniority, take ownership of technical areas, support architectural decisions, and mentor less experienced team members, Your profile: minimum 3 years of commercial experience in software engineering, data engineering, or related fields, experience working in senior engineering, technical leadership, or highly autonomous delivery roles, strong hands-on knowledge of Python as the primary development language, strong experience with Databricks and PySpark in production environments, proven experience building and supporting modern data analytics platforms, practical experience working within Azure cloud environments or similar cloud ecosystems, experience designing modular, reusable, scalable, and maintainable system components, strong understanding of data engineering best practices and modern data platform architectures, familiarity with Medallion Architecture or equivalent data modeling and design patterns, ability to gather, clarify, and translate business requirements into technical solutions, strong problem-solving, communication, and organizational skills, proactive approach to identifying issues, opportunities, and improvement areas, experience working with Azure DevOps and CI/CD practices, excellent communication skills and ability to collaborate with technical and business stakeholders, experience working within Agile delivery environments and engineering best practices, quick learner with a strong interest in new technologies and continuous professional development, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: Databricks certification, experience with Infrastructure as Code technologies such as Terraform or ARM templates, experience with MLOps practices and automation of machine learning and data pipelines, experience working with Kubernetes or other container orchestration platforms, requirements engineering experience and business analysis awareness, familiarity with event-driven architectures and distributed data processing systems, Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Engineer with Databricks at Xebia. Skills: Data Engineering, Databricks, PySpark, Azure. Build data pipelines. Maintain data pipelines", "postedDate" : "2026-06-14T19:12:25.152", "createdAt" : "2026-06-14T19:12:25.152", "lastUpdated" : "2026-06-16T04:22:07.120", "ingestTimestamp" : "2026-06-14T19:12:25.152", "mongoId" : "6a2c92ed74d8ee00a0986e18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Batch processing", "Real-time processing", "Data integration", "Data warehousing", "Data orchestration", "Model deployment", "Secrets management", "Process automation", "Data governance", "Event-driven workflows", "CI/CD", "Testing", "Monitoring", "Leadership", "Mentoring", "Critical thinking", "Data Engineering", "Databricks", "PySpark", "Azure", "System design", "Data modeling", "ETL design", "ELT design", "Orchestration", "Deployment automation", "Troubleshooting", "Continuous improvement", "Agile delivery", "Engineering best practices", "Data engineering best practices", "Modern data platform architectures", "Medallion Architecture", "Data Lakehouse principles", "Event-driven architectures", "Distributed data processing", "GenAI", "AI-augmented development", "Databricks certification", "Azure DevOps", "Azure Key Vault", "Azure Logic Apps", "Azure Service Bus", "Unity Catalog", "GitHub Copilot", "Claude Code", "Cursor" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305caef292fd229cf630a3", "title" : "Medienos džiovintoja (-as)", "company" : "Inter IKEA Group", "industry" : "Retail", "salary" : { "min" : 2300.0, "max" : 2700.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kazlų Rūda, LT", "locations" : [ "Kazlų Rūda", "LT" ], "certifications" : [ "Autokrautuvo vairuotojo pažymėjimas" ], "timestamp" : "2026-06-16T12:41:11.982", "fingerprint" : "320c95f1f0dcb4c132aa01f1c94b80e5fba78c8160dd47af6cb6d0467bbe5b75", "source" : "smartrecruiters", "language" : "lt", "applyUrl" : "https://jobs.smartrecruiters.com/InterIKEAGroup/744000132199758-medienos-dziovintoja-as-", "externalId" : "744000132199758", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kazlų Rūda", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.7520669,23.4985141" } ], "locationText" : "Kazlų Rūda, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Atliktus gamybinių įrenginių valdymo darbus, Gamybos linijos įrenginių priežiūrą, Techninės dokumentacijos pildymą, Žaliavų tikrinimą, Gaminių kokybės užtikrinimą", "domainKnowledge" : "Medienos gamyba; Medienos apdirbimo technologija", "domainList" : [ "medienos-gamyba", "medienos-apdirbimo-technologija" ], "domainSpecificKnowledge" : [ "Medienos gamyba", "Medienos apdirbimo technologija" ], "documentationSkills" : "Techninės dokumentacijos pildymą", "qualificationsBasic" : "Gamybinių įrenginių valdymo patirties, Dirbti pamaininiu darbo grafiku, Gebi savarankiškai dirbti, Priimti sprendimus", "qualificationsPreferred" : "Patirtis medienos gamybinėje įmonėje, Žinai medienos rūšis, Medienos apdirbimo technologiją, Galiojantį autokrautuvo vairuotojo pažymėjimą", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "IKEA Industry, priklauso Inter IKEA Group ir yra lyderė medinių baldų gamyboje visame pasaulyje bei integruota IKEA vertės grandinės dalis. IKEA Industry dirba apie 15 000 darbuotojų, dirbančių daugiau nei 30 gamybos padalinių, esančių 18 lokacijų 7 pasaulio šalyse. Mūsų veikla apima lentpjūves, plokščių, komponentų ir baldų gamybą. Šioje pozicijoje Tu būsi atsakinga (-as) už: * Kokybiškai ir laiku atliktus gamybinių įrenginių valdymo darbus * Technologinės gamybos linijos įrenginių priežiūrą * Techninės dokumentacijos pildymą * Žaliavų tikrinimą ir gaminių kokybės užtikrinimą ## Qualifications Mes tikimės, kad Tu: * Turi gamybinių įrenginių valdymo patirties (patirtis medienos gamybinėje įmonėje būtų privalumas) * Gali dirbti pamaininiu darbo grafiku: 2 dieninės (pamaina 12 val.), 2 naktinės (pamaina 12 val.), keturios laisvos dienos * Žinai medienos rūšis ir medienos apdirbimo technologiją (privalumas) * Turi galiojantį autokrautuvo vairuotojo pažymėjimą (privalumas) * Gebi savarankiškai dirbti ir priimti sprendimus * Esi iniciatyvi (-us) ir gali pasiūlyti naujų idėjų * Esi komandos žaidėja (-as) ir tau yra svarbios vertybės: tobulėjimas, atsakomybės prisiėmimas, orientacija į kokybę, buvimas geru pavyzdžiu, vieningumas, rūpinimasis žmonėmis ir planeta, kūrybiškumas, paprastumas, ekonomiškumas ## Additional Information Mes siūlome: * Nemokamą maitinimą * Kelionės į/iš darbo kompensaciją * Draudimą 24/7 * Dovanas įvairių švenčių proga (susituokus, gimus vaikui ir kt.) * Motyvacinę lojalumo programą * Modernų požiūrį į darbuotoją * Vertikalią ir horizontalią karjerą * Ekspertinių žinių įgijimą * Atlyginimą: 2300-2700 eur/mėn neatskaičius mokesčių", "summaryDescription" : "Medienos džiovintoja (-as) at Inter IKEA Group. Atliktus gamybinių įrenginių valdymo darbus. Gamybos linijos įrenginių priežiūrą", "postedDate" : "2026-06-15T13:11:37.000", "createdAt" : "2026-06-16T00:08:56.193", "lastUpdated" : "2026-06-16T12:41:11.982", "ingestTimestamp" : "2026-06-16T00:08:56.193", "mongoId" : "6a305caef292fd229cf630a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Medienos gamyba", "Medienos apdirbimo technologija", "Autokrautuvo vairuotojo pažymėjimas" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677a22", "title" : "Working Student at IT Aftersales - Data Engineering", "company" : "Mercedes-Benz", "industry" : "Manufacturing", "salary" : { "min" : 38000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Working Student in IT Aftersales - Data Engineering in Böblingen, Germany, adjusted for the automotive industry and company size." }, "location" : "Germany-Baden-Württemberg-Böblingen", "locations" : [ "Germany-Baden-Württemberg-Böblingen", "Leibnizstr. 2, , Böblingen" ], "timestamp" : "2026-06-16T04:57:44.297", "fingerprint" : "4860a4c1e7120f4730e69ef4acf104cefa459d76bfcf7e7f6e507ff8add71411", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=886091", "externalId" : "886091", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Böblingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.6849690,9.0113444" } ], "locationText" : "Böblingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, SQL, Go, Data Engineering, Data Processing, Cloud Computing, Data Mesh", "professionalSkills" : [ "Product Development", "Data Management", "Technical Writing", "Cloud Services" ], "hardSkillsList" : [ "Data Analysis", "Data Modeling", "Schema Design", "Data Normalization", "Data Governance", "Data Quality Assurance", "Data Exchange" ], "hardSkills" : [ { "name" : "Data Analysis", "level" : "intermediate" }, { "name" : "Data Modeling", "level" : "intermediate" }, { "name" : "Schema Design", "level" : "intermediate" }, { "name" : "Data Normalization", "level" : "intermediate" }, { "name" : "Data Governance", "level" : "intermediate" }, { "name" : "Data Quality Assurance", "level" : "intermediate" }, { "name" : "Data Exchange", "level" : "intermediate" } ], "teamCollaboration" : "Cross-functional teams; Agile teams; Interdisciplinary teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Data Mesh Principles; Cloud-based Storage; Big Data Processing", "domainList" : [ "data-mesh-principles", "cloud-based-storage", "big-data-processing" ], "domainSpecificKnowledge" : [ "Data Mesh Principles", "Cloud-based Storage", "Big Data Processing" ], "toolProficiency" : [ "Tableau", "Power BI", "Qlik" ], "communicationSkills" : "Technical documentation; Stakeholder communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Data Analysis Skills development; Problem-Solving Abilities development; Product Development Expertise development; Data Mesh Principles understanding; Innovation and Creativity development; Cloud Computing Competencies development; Technical Writing Proficiency development", "innovationCreativity" : "Develop proof-of-concept solutions; Bring in own ideas", "problemSolvingSkills" : "Troubleshooting data processing issues; Resolving data processing issues", "qualificationsBasic" : "English proficiency, Enrolled as a student until contract end", "qualificationsPreferred" : "Python experience, SQL experience, Go experience, Software development principles knowledge, Data modeling knowledge, Schema design knowledge, Data normalization techniques knowledge, AWS experience, Azure experience, Cloud-based storage experience, Big data processing technologies experience, Agile frameworks experience, Data mesh principles knowledge, Data visualization tools interest, Real time data delivery technologies interest", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a tech-savvy individual with a passion for software engineering and data? Do you want to gather hands-on experience at a globally renowned company that is pushing the boundaries of automotive innovation? Would you like to be the catalyst for new ideas and innovations, driving them all the way to the highway? Then join our After-Sales IT department at Mercedes-Benz! Who we are and what we do: We in the Team Data, Analytics & AI aim to put our customers at the center of our work. Currently, we are developing the next generation of our global parts pricing system in the cloud to natively integrate automation and data-driven decision-making processes. To that end, we are building data products through connecting various data sources as well as building state of the art cloud-based data processing pipelines. Furthermore, by harnessing data from our global workshop network, we continuously improve our customers' service experience, make strategic business decisions, and effectively steer various After-Sales processes. To make this happen, we work in self-organized, interdisciplinary, and agile teams with IT and business colleagues. Things you will do: Collaborate with cross-functional teams to define data requirements and ensure data quality Participate in monitoring, troubleshooting, and resolving data processing issues Contribute to and support our product teams in the design and development of new data products. Embrace data mesh principles to ensure data quality and smooth data exchange, thereby enhancing the underlying architecture of our data platform Bring in your own ideas into the design of new or improved data products and transform them into end-to-end proof-of-concept solutions in the cloud Contribute to the creation of comprehensive, easy-to-follow technical documentation Organize communication with our stakeholders and support the documentation of our data products Support with the management, maintenance and requirements engineering of our applications as well as create and enhance communication material Skills you will develop depending on your interests: Data Analysis Skills: Through collaboration with cross-functional teams to define data requirements, you'll sharpen your ability to evaluate and interpret complex datasets Problem-Solving Abilities: By monitoring, troubleshooting, and resolving data processing issues, you'll develop a keen eye for identifying problems and formulating effective solutions Product Development Expertise: As you contribute to and support our product teams, you'll grow your understanding of product lifecycle management, from design and development to testing and deployment Understanding of Data Mesh Principles: Embracing data mesh principles will allow you to gain insights into data governance, data quality assurance, and data exchange procedures, enhancing your overall knowledge of data management Innovation and Creativity: By bringing in your own ideas and transforming them into end-to-end proof-of-concept solutions, you'll cultivate your creative thinking and innovation skills, crucial in the field of data and software product development Cloud Computing Competencies: Developing proof-of-concept solutions in the cloud will help you gain experience in cloud environments and services, an essential skill in today's digital landscape Technical Writing Proficiency: Contributing to comprehensive, easy-to-follow technical documentation will develop your technical communication skills, aiding you in clearly conveying complex information The activity can begin from May 2026. Currently pursuing a bachelor's or master s degree in computer science, Information Technology, or a related field with a focus on data or software engineering. You must be enrolled as a student at least until the last planned day of your working student contract Strong English proficiency Experience with one or more programming and scripting languages (Python and SQL are of advantage, Go is a nice-to-have) Communication and interpersonal skills, with the ability to work well in a team as well as independently It helps if you are interested / have some background in: Knowledge of software development principles Data modeling, schema design, and data normalization techniques Experience with cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure Understanding of cloud-based storage (e.g., S3, Azure Data Lake) and big data processing technologies (e.g., AWS Glue, Azure Data Factory, Databricks) for scalable and efficient data workflows First experience with agile frameworks like Scrum and knowledge of data mesh principles Interest in data visualization tools like Tableau, PowerBI, or Qlik Interest in real time data delivery technologies Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (SBV-Sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working Student at IT Aftersales - Data Engineering at Mercedes-Benz", "createdAt" : "2026-06-14T19:54:01.513", "lastUpdated" : "2026-06-16T04:57:44.297", "ingestTimestamp" : "2026-06-14T19:54:01.513", "mongoId" : "69ce5e3b9bc74574cb677a22", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data Analysis", "Data Modeling", "Schema Design", "Data Normalization", "Data Governance", "Data Quality Assurance", "Data Exchange", "Product Development", "Data Management", "Technical Writing", "Cloud Services", "Agile", "Scrum", "Data Mesh Principles", "Cloud-based Storage", "Big Data Processing", "Tableau", "Power BI", "Qlik" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69164daa70f0b99d586f343b", "title" : "Senior Software Engineer – Distributed PostgreSQL Engine, Aurora DSQL, Aurora Distributed SQL Query Processing", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "East Palo Alto, California, USA", "locations" : [ "East Palo Alto, California, USA" ], "timestamp" : "2026-06-15T02:10:43.403", "fingerprint" : "d9fe1a47c1b11c4fe03a9ae58ea342e4b3c9fe9a655956c8ca5669945779088a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3121824/apply", "externalId" : "e1e4e10a-d15a-477a-ab99-aa14c0a8dee2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "East Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4688273,-122.1410750" } ], "locationText" : "East Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "PostgreSQL, SQL, Distributed systems", "professionalSkills" : [ "Systems engineering", "Database internals", "Distributed runtime", "Query processing", "Concurrency control", "Database correctness", "Hybrid execution", "System catalogs", "Commit protocols" ], "hardSkillsList" : [ "PostgreSQL internals", "Distributed execution", "Transaction semantics", "Horizontal scalability", "MVCC", "Snapshot isolation", "Error codes", "Data types", "Function behavior", "Visibility", "Locks", "Plan caching" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "PostgreSQL internals", "level" : "intermediate" }, { "name" : "Distributed execution", "level" : "intermediate" }, { "name" : "Transaction semantics", "level" : "intermediate" }, { "name" : "Horizontal scalability", "level" : "intermediate" }, { "name" : "MVCC", "level" : "intermediate" }, { "name" : "Snapshot isolation", "level" : "intermediate" }, { "name" : "Error codes", "level" : "intermediate" }, { "name" : "Data types", "level" : "intermediate" }, { "name" : "Function behavior", "level" : "intermediate" }, { "name" : "Visibility", "level" : "intermediate" }, { "name" : "Locks", "level" : "intermediate" }, { "name" : "Plan caching", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "PostgreSQL internals, Distributed systems, Query processing", "majorSkillsList" : [ "PostgreSQL internals", "Distributed systems", "Query processing" ], "coreResponsibilities" : "Analyze PostgreSQL internals, Adapt PostgreSQL internals, Extend PostgreSQL internals, Build mechanisms for PostgreSQL semantics, Develop compatibility test frameworks, Integrate distributed primitives, Debug complex behaviors, Contribute to long-term architecture, Deep-dive into PostgreSQL internals, Design new abstractions, Profile query behavior, Validate transaction semantics, Partner with engineers, Participate in design reviews, Mentor engineers, Drive compatibility roadmap", "teamCollaboration" : "Core database engine team; Query processing teams; Storage teams; Transaction teams; Compute subsystems; Storage subsystems; Transaction subsystems", "domainKnowledge" : "Distributed systems; Database correctness; Concurrency control; PostgreSQL; Cloud-native architecture; Serverless architecture", "domainList" : [ "distributed-systems", "database-correctness", "concurrency-control", "postgresql", "cloud-native-architecture", "serverless-architecture" ], "domainSpecificKnowledge" : [ "Distributed systems", "Database correctness", "Concurrency control", "PostgreSQL", "Cloud-native architecture", "Serverless architecture" ], "problemSolvingSkills" : "Solve hard problems", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team", "qualificationsPreferred" : "5+ years full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Aurora DSQL is a serverless, distributed SQL database that combines the performance and scalability of cloud-native architecture with the familiarity and ecosystem of PostgreSQL. Aurora DSQL automatically scales compute and storage, delivers high availability across regions, and eliminates operational overhead—while remaining compatible with PostgreSQL applications and tooling. We are seeking PostgreSQL internals experts to advance Aurora DSQL’s query processing capabilities. This is a deep systems engineering role focused on ensuring semantic, functional, and behavioral parity with PostgreSQL while extending its architecture to run efficiently in a distributed, elastic environment. As part of the core database engine team, you will work across the PostgreSQL planner, executor, and other subsystems to evolve Aurora DSQL’s hybrid execution model. The ideal candidate understands PostgreSQL internals—from parser to executor—and thrives on solving hard problems at the intersection of distributed systems, concurrency control, and database correctness. Key job responsibilities - Analyze, adapt, and extend PostgreSQL internals (parser, planner, executor, catalog, and transaction manager) to operate correctly and efficiently in Aurora DSQL’s distributed runtime. - Build mechanisms that maintain PostgreSQL semantics (MVCC, snapshot isolation, error codes, data types, and function behavior) in a horizontally scalable environment. - Develop compatibility test frameworks to validate DSQL’s correctness against upstream PostgreSQL. - Collaborate with query processing, storage, and transaction teams to integrate distributed primitives into PostgreSQL-compatible interfaces. - Debug complex behaviors in areas like visibility, locks, and plan caching to ensure fidelity with PostgreSQL behavior under distributed execution. - Contribute to the long-term architecture enabling Aurora DSQL to support next-generation PostgreSQL features at virtually unlimited scale. A day in the life You’ll deep-dive into PostgreSQL internals—reasoning through planner/executor nodes, commit protocols, and system catalogs—while designing new abstractions that preserve correctness in distributed execution. You’ll profile query behavior, validate transaction semantics across regions, and partner with engineers across compute, storage, and transaction subsystems to ensure every PostgreSQL feature “just works” on Aurora DSQL. You’ll participate in design reviews, mentor engineers, and drive the compatibility roadmap for Aurora DSQL’s PostgreSQL layer. About the team We are the Aurora DSQL Query Processing team; this team is the execution engine behind every SQL executed statement in Aurora DSQL. We are responsible for bridging one of the world’s most advanced open-source databases with AWS’s distributed, serverless architecture. Our engineers come from database internals backgrounds and large-scale distributed systems teams. We value curiosity, precision, and craftsmanship—and we work in an environment where deep systems problems meet high-scale real-world impact. We are committed to mentorship, technical excellence, and shared ownership. You’ll work alongside engineers who have contributed to PostgreSQL’s planner, executor, and MVCC subsystems—and help define how Aurora DSQL evolves to support PostgreSQL workloads natively in the cloud. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Software Engineer – Distributed PostgreSQL Engine, Aurora DSQL, Aurora Distributed SQL Query Processing at Amazon Development Center U.S., Inc.. Skills: PostgreSQL internals, Distributed systems, Query processing. Analyze PostgreSQL internals. Adapt PostgreSQL internals", "postedDate" : "2026-06-12T23:19:37.972", "createdAt" : "2026-06-12T23:19:37.972", "lastUpdated" : "2026-06-15T02:10:43.403", "ingestTimestamp" : "2026-06-12T23:19:37.972", "mongoId" : "69164daa70f0b99d586f343b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121824/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "PostgreSQL internals", "Distributed execution", "Transaction semantics", "Horizontal scalability", "MVCC", "Snapshot isolation", "Error codes", "Data types", "Function behavior", "Visibility", "Locks", "Plan caching", "Mentoring", "Distributed systems", "Query processing", "Systems engineering", "Database internals", "Distributed runtime", "Concurrency control", "Database correctness", "Hybrid execution", "System catalogs", "Commit protocols", "PostgreSQL", "Cloud-native architecture", "Serverless architecture" ], "skillCount" : 26, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305119f292fd229cef9c56", "title" : "Lead Data Engineer with AI experience", "industry" : "IT", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Data Engineer in India, adjusted for AI experience, technology industry, and onsite full-time employment." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:31:03.993", "fingerprint" : "603cd85db70ad2a4c68c560b11bae364ca914d25741b64aa90c56c126591dc1f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/de2f7d89-bde5-4e05-9d63-f53d088b317e/apply", "externalId" : "de2f7d89-bde5-4e05-9d63-f53d088b317e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, SQL, PySpark, Snowflake, Delta Lake, Kafka, Spark Structured Streaming, AWS, Azure, Docker, Kubernetes, LangChain, LlamaIndex, FastAPI", "professionalSkills" : [ "System design", "Architectural thinking" ], "hardSkillsList" : [ "Data pipeline engineering", "Retrieval systems", "Embedding pipelines", "Vector databases", "Hybrid search", "Chunking strategies", "Ranking mechanisms", "Ontologies", "Entity mappings", "Knowledge graphs", "Semantic contracts", "Metadata systems", "Lineage tracking", "ML lifecycle workflows", "Dataset curation", "Feature engineering", "Model evaluation", "Experiment tracking", "Production monitoring", "Agentic systems", "Context stores", "Tool interfaces", "Observability", "Reasoning traces", "Tool calls", "Data governance", "RBAC", "PII handling", "Schema validation", "Data quality monitoring", "Audit logging", "MLOps practices", "MLflow", "Automated evaluation frameworks", "Data quality frameworks", "Containerized environments" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline engineering", "level" : "intermediate" }, { "name" : "Retrieval systems", "level" : "intermediate" }, { "name" : "Embedding pipelines", "level" : "intermediate" }, { "name" : "Vector databases", "level" : "intermediate" }, { "name" : "Hybrid search", "level" : "intermediate" }, { "name" : "Chunking strategies", "level" : "intermediate" }, { "name" : "Ranking mechanisms", "level" : "intermediate" }, { "name" : "Ontologies", "level" : "intermediate" }, { "name" : "Entity mappings", "level" : "intermediate" }, { "name" : "Knowledge graphs", "level" : "intermediate" }, { "name" : "Semantic contracts", "level" : "intermediate" }, { "name" : "Metadata systems", "level" : "intermediate" }, { "name" : "Lineage tracking", "level" : "intermediate" }, { "name" : "ML lifecycle workflows", "level" : "intermediate" }, { "name" : "Dataset curation", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Experiment tracking", "level" : "intermediate" }, { "name" : "Production monitoring", "level" : "intermediate" }, { "name" : "Agentic systems", "level" : "intermediate" }, { "name" : "Context stores", "level" : "intermediate" }, { "name" : "Tool interfaces", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Reasoning traces", "level" : "intermediate" }, { "name" : "Tool calls", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "RBAC", "level" : "intermediate" }, { "name" : "PII handling", "level" : "intermediate" }, { "name" : "Schema validation", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Audit logging", "level" : "intermediate" }, { "name" : "MLOps practices", "level" : "intermediate" }, { "name" : "MLflow", "level" : "intermediate" }, { "name" : "Automated evaluation frameworks", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Containerized environments", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI Infrastructure, LLM Systems, Agentic Systems", "majorSkillsList" : [ "Data Engineering", "AI Infrastructure", "LLM Systems", "Agentic Systems" ], "coreResponsibilities" : "Build batch data pipelines, Optimize batch data pipelines, Maintain batch data pipelines, Build streaming data pipelines, Optimize streaming data pipelines, Maintain streaming data pipelines, Design retrieval systems, Implement retrieval systems, Develop ontologies, Develop entity mappings, Develop knowledge graphs, Maintain semantic contracts, Maintain metadata systems, Maintain lineage tracking, Support ML lifecycle workflows, Support LLM lifecycle workflows, Build APIs for agents, Build context stores for agents, Build tool interfaces for agents, Implement data governance frameworks, Implement RBAC, Implement PII handling, Implement schema validation, Implement data quality monitoring, Implement compliance-ready audit logging", "teamCollaboration" : "Global engineering teams; Enterprise-scale AI transformation projects", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Cloud-native tools; Distributed systems; AI infrastructure; Production AI/ML data infrastructure; Production LLM data infrastructure; RAG environments; MLOps practices; Data governance frameworks; Cloud ecosystems; Containerized environments; AI/LLM tooling; Autonomous agents", "domainList" : [ "cloud-native-tools", "distributed-systems", "ai-infrastructure", "production-ai-ml-data-infrastructure", "production-llm-data-infrastructure", "rag-environments", "mlops-practices", "data-governance-frameworks", "cloud-ecosystems", "containerized-environments", "ai-llm-tooling", "autonomous-agents" ], "domainSpecificKnowledge" : [ "Cloud-native tools", "Distributed systems", "AI infrastructure", "Production AI/ML data infrastructure", "Production LLM data infrastructure", "RAG environments", "MLOps practices", "Data governance frameworks", "Cloud ecosystems", "Containerized environments", "AI/LLM tooling", "Autonomous agents" ], "toolProficiency" : [ "Snowflake", "PySpark", "Delta Lake", "Kafka", "Spark Structured Streaming", "MLflow", "LangChain", "LlamaIndex", "OpenAI APIs", "Claudeedrock APIs", "FastAPI", "Docker", "Kubernetes" ], "continuousLearning" : "Advanced AI skills; Data engineering skills", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving mindset; Design scalable systems", "qualificationsBasic" : "7+ years of experience in data engineering, 2+ years of experience building production AI/ML or LLM-related data infrastructure, Expertise in Python, SQL, PySpark, Snowflake, Delta Lake, Kafka, and Spark Structured Streaming, Hands-on experience with vector databases, embedding pipelines, and retrieval systems in production RAG environments, Solid understanding of MLOps practices, Knowledge of data governance, security, compliance, and data quality frameworks, Experience working with cloud ecosystems such as AWS or Azure, Experience with containerized environments (Docker, Kubernetes)", "qualificationsPreferred" : "Familiarity with AI/LLM tooling such as LangChain, LlamaIndex, OpenAI/Claudeedrock APIs, and FastAPI", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Data Pipeline Engineering: Build, optimize, and maintain robust batch and streaming data pipelines using modern cloud-native tools such as Snowflake, PySpark, Delta Lake, and Kafka, ensuring reliability, scalability, and performance. RAG & Retrieval Infrastructure: Design and implement end-to-end retrieval systems including embedding pipelines, vector databases, hybrid search, chunking strategies, and ranking mechanisms to optimize AI context relevance. Semantic & Knowledge Layer Development: Develop ontologies, entity mappings, and knowledge graphs while maintaining semantic contracts, metadata systems, and lineage tracking for AI and ML use cases. ML/LLMOps Enablement: Support ML and LLM lifecycle workflows including dataset curation, feature engineering, model evaluation, experiment tracking, and production monitoring. Agentic Data Systems: Build APIs, context stores, and tool interfaces that enable autonomous agents, including observability for reasoning traces, tool calls, and contextual outputs. Governance & Data Quality: Implement robust data governance frameworks including RBAC, PII handling, schema validation, data quality monitoring, and compliance-ready audit logging systems. Requirements This role requires a highly experienced data engineering professional with strong cloud, distributed systems, and AI infrastructure expertise. The ideal candidate combines deep technical execution with architectural thinking and hands-on experience building production-grade AI-enabled data systems. 7+ years of experience in data engineering with strong exposure to cloud-based data platforms. 2+ years of experience building production AI/ML or LLM-related data infrastructure at scale. Strong expertise in Python, SQL, PySpark, Snowflake, Delta Lake, Kafka, and Spark Structured Streaming. Hands-on experience with vector databases, embedding pipelines, and retrieval systems in production RAG environments. Solid understanding of MLOps practices including MLflow, CI/CD for ML systems, and automated evaluation frameworks. Strong knowledge of data governance, security, compliance, and data quality frameworks. Experience working with cloud ecosystems such as AWS or Azure and containerized environments (Docker, Kubernetes). Familiarity with AI/LLM tooling such as LangChain, LlamaIndex, OpenAI/Claude/Bedrock APIs, and FastAPI is a plus. Strong problem-solving mindset with the ability to design scalable systems and operate in fast-moving AI environments. Benefits Competitive compensation package aligned with experience and market standards Remote-friendly or hybrid work flexibility depending on team structure Opportunity to work on cutting-edge AI, LLM, and agentic systems Exposure to global engineering teams and enterprise-scale AI transformation projects Health, insurance, and wellness benefits (as per policy and location) Learning and development support for advanced AI and data engineering skills Access to modern cloud-native and AI-first technology stacks Collaborative, engineering-driven culture focused on innovation and impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Lead Data Engineer with AI experience. Skills: Data Engineering, AI Infrastructure, LLM Systems, Agentic Systems. Build batch data pipelines. Optimize batch data pipelines", "postedDate" : "2026-06-15T11:23:31.978", "createdAt" : "2026-06-15T11:23:31.978", "lastUpdated" : "2026-06-16T12:31:03.993", "ingestTimestamp" : "2026-06-16T03:25:20.137", "mongoId" : "6a305119f292fd229cef9c56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline engineering", "Retrieval systems", "Embedding pipelines", "Vector databases", "Hybrid search", "Chunking strategies", "Ranking mechanisms", "Ontologies", "Entity mappings", "Knowledge graphs", "Semantic contracts", "Metadata systems", "Lineage tracking", "ML lifecycle workflows", "Dataset curation", "Feature engineering", "Model evaluation", "Experiment tracking", "Production monitoring", "Agentic systems", "Context stores", "Tool interfaces", "Observability", "Reasoning traces", "Tool calls", "Data governance", "RBAC", "PII handling", "Schema validation", "Data quality monitoring", "Audit logging", "MLOps practices", "MLflow", "Automated evaluation frameworks", "Data quality frameworks", "Containerized environments", "Leadership", "Data Engineering", "AI Infrastructure", "LLM Systems", "Agentic Systems", "System design", "Architectural thinking", "Agile", "Cloud-native tools", "Distributed systems", "AI infrastructure", "Production AI/ML data infrastructure", "Production LLM data infrastructure", "RAG environments", "Data governance frameworks", "Cloud ecosystems", "AI/LLM tooling", "Autonomous agents", "Snowflake", "PySpark", "Delta Lake", "Kafka", "Spark Structured Streaming", "LangChain", "LlamaIndex", "OpenAI APIs", "Claudeedrock APIs", "FastAPI", "Docker", "Kubernetes" ], "skillCount" : 66, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308022f292fd229c062387", "title" : "Sterile Processing Technician", "company" : "Eye Care Partners", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sterile Processing Technician in Des Peres, United States, adjusted for mid-seniority and healthcare industry." }, "location" : "Des Peres, Missouri, United States", "locations" : [ "Des Peres", "Missouri", "United States" ], "certifications" : [ "Certified Registered Central Service Technician (CRCST)", "Certified Sterile Processing and Distribution Technician (CSPDT)" ], "timestamp" : "2026-06-16T11:26:45.815", "fingerprint" : "af5d16ad77b754fa482d5f1a4423c8362f13df91aa1937fc3c9ad8206321438c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.eyecare-partners.com/careers/current-job-openings/?gh_jid=8593294002", "externalId" : "8593294002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Des Peres", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.6049811,-90.4426837" } ], "locationText" : "Des Peres, Missouri, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Maintain sterile environment, Clean and sterilize instruments, Assemble instrument sets, Operate sterilization equipment, Document sterilization processes, Monitor sterilization cycles, Perform quality control checks, Manage instrument inventory, Adhere to safety protocols, Assist with surgical procedures", "teamCollaboration" : "Surgical teams; Nursing staff; Medical device representatives", "domainKnowledge" : "Sterile processing; Aseptic technique; Infection control; Medical device reprocessing", "domainList" : [ "sterile-processing", "aseptic-technique", "infection-control", "medical-device-reprocessing" ], "domainSpecificKnowledge" : [ "Sterile processing", "Aseptic technique", "Infection control", "Medical device reprocessing" ], "communicationSkills" : "Interdepartmental communication", "problemSolvingSkills" : "Troubleshooting equipment issues", "outcomesObjectives" : "Ensure instrument availability; Maintain sterile integrity; Prevent surgical site infections", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "EyeCare Partners is the nation’s leading provider of clinically integrated eye care. Our national network of over 300 ophthalmologists and 700 optometrists provides a lifetime of care to our patients with a mission to enhance vision, advance eye care and improve lives. Based in St. Louis, Missouri, over 650 ECP-affiliated practice locations provide care in 18 states and 80 markets, providing services that span the eye care continuum. For more information, visit www.eyecare-partners.com. **This is a full-time, long-term position. Unfortunately, we cannot accommodate students looking for only a summer job or that would need to work part-time during the school year.** Job Title: Sterile Processing Technician Company: St. Louis Eye Surgery or equivalent combination of education and experience Central Sterile or Operating Room experience preferred LICENSES AND CREDENTIALS Basic Life Support (BLS) certification required SYSTEMS AND TECHNOLOGY Proficient in Microsoft Excel, Word, PowerPoint, Outlook Printer, copier, telephone and fax Autoclave, washer-sterilization, ultrasonic cleaner, biological test incubator, medical gas canisters, surgical instruments, equipment, machinery and medical supplies. Decontamination, chemical indicators, prevac. PHYSICAL REQUIREMENTS This role requires a variety of physical activities to effectively perform essential job functions. The position involves frequent walking (75%), sitting (50%), and standing (50%), with regular bending, stooping, and reaching (25–50%). Employees must be able to lift, carry, push, and pull items up to 25 lbs. Strong fine motor skills and full use of hands are essential, as the role demands constant grasping, writing/typing, and use of technology. Visual and auditory acuity—including color, depth, peripheral vision, and the ability to adjust focus—is required 100% of the time. Occasional driving or climbing may also be necessary. If you need assistance with this application, please contact (636) 227-2600. Please do not contact the office directly – only resumes submitted through this website will be considered. EyeCare Partners is an equal opportunity/affirmative action employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.", "summaryDescription" : "Sterile Processing Technician at Eye Care Partners. Maintain sterile environment. Clean and sterilize instruments", "postedDate" : "2026-06-16T01:20:29.054", "createdAt" : "2026-06-16T01:20:29.054", "lastUpdated" : "2026-06-16T11:26:45.815", "ingestTimestamp" : "2026-06-16T01:20:29.054", "mongoId" : "6a308022f292fd229c062387", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sterile processing", "Aseptic technique", "Infection control", "Medical device reprocessing", "Certified Registered Central Service Technician (CRCST)", "Certified Sterile Processing and Distribution Technician (CSPDT)" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f729", "title" : "Working student", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 25000.0, "max" : 35000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a working student in the technology industry in Stuttgart, Germany, adjusted for entry-level seniority." }, "location" : "Germany-Baden-Württemberg-Stuttgart", "locations" : [ "Germany-Baden-Württemberg-Stuttgart", "Benzstr., , Stuttgart" ], "timestamp" : "2026-06-15T09:50:41.439", "fingerprint" : "3e88ce9d54fd38aecd5c94222caeb010661eea03477d8a5573a8d49482e4b783", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896058", "externalId" : "896058", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stuttgart", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7784485,9.1800132" } ], "locationText" : "Stuttgart, Baden-Württemberg, Germany", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL, AI/ML libraries, Embedding generation, Vector databases, RAG systems, LangChain, MLflow, Multi-agent frameworks", "professionalSkills" : [ "Data management", "Information extraction", "Model training", "ML lifecycle" ], "hardSkillsList" : [ "Programming skills", "Database management", "Retrieval capabilities", "AI workflows", "Machine learning development" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "Programming skills", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Retrieval capabilities", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Machine learning development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "domainKnowledge" : "Conversational AI; Document embedding; Information retrieval; Multi-agent systems; RAG-systems; Vector databases; Cloud-native architecture", "domainList" : [ "conversational-ai", "document-embedding", "information-retrieval", "multi-agent-systems", "rag-systems", "vector-databases", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Conversational AI", "Document embedding", "Information retrieval", "Multi-agent systems", "RAG-systems", "Vector databases", "Cloud-native architecture" ], "toolProficiency" : [ "LangChain", "Databricks", "Microsoft AI Foundry", "MLflow" ], "qualificationsBasic" : "Good programming skills Python, Experience with AI/ML libraries, Experience in SQL, Experience with RAG systems, Experience with LangChain, Experience with MLflow, Knowledge of multi-agent frameworks, Knowledge of document embedding, Knowledge of information retrieval", "qualificationsPreferred" : "Experience Databricks platform, Experience Microsoft AI Foundry, Theoretical understanding Databricks, Theoretical understanding Microsoft AI Foundry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a dedicated AI Engineer who will play a significant role in shaping and optimizing our chatbot. You will play a key role in developing intelligent data management solutions and advanced Conversational AI systems. Gain valuable practical experience with us in product data management and get many insights into state-of-the-art technologies! These challenges await you: Design, implement, and manage document embedding storage solutions Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create and populate databases for our advanced chatbot applications Contribute to the development and deployment of RAG-systems, leveraging tools like LangChain to orchestrate complex AI workflows and ensure accurate, contextually relevant responses Explore, implement, and contribute to multi-agent frameworks for building sophisticated AI applications Utilize Databricks and Microsoft AI Foundry for data processing, model training, deployment and AI workflows Employ MLflow for experiment tracking, model management, and reproducible machine learning development Write clean, efficient, and well-documented code primarily in Python and SQL The position can start from June 2026. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a comparable field of study Good programming skills in Python, including experience with relevant AI/ML libraries Experience in SQL for effective database management Experience with RAG systems, including concepts such as embedding generation, vector databases, and retrieval capabilities Experience with LangChain for building LLM-powered applications Experience with MLflow for managing the ML lifecycle Knowledge of multi-agent frameworks and their application in developing autonomous and collaborative AI systems Knowledge of document embedding techniques and information retrieval methods Experience or a good theoretical understanding of the Databricks platform and Microsoft AI Foundry for data engineering and ML is a plus Proactive and curious mindset Ability to work effectively in a team English is mandatory, German is a plus Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working student at Mercedes-Benz AG", "createdAt" : "2026-06-14T07:02:47.849", "lastUpdated" : "2026-06-15T09:50:41.439", "ingestTimestamp" : "2026-06-14T07:02:47.849", "mongoId" : "6a191e7758b93c861e39f729", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Programming skills", "Database management", "Retrieval capabilities", "AI workflows", "Machine learning development", "Curious", "Data management", "Information extraction", "Model training", "ML lifecycle", "Conversational AI", "Document embedding", "Information retrieval", "Multi-agent systems", "RAG-systems", "Vector databases", "Cloud-native architecture", "LangChain", "Databricks", "Microsoft AI Foundry", "MLflow" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308ea2f292fd229c0a469a", "title" : "Sterile Processing Tech", "company" : "Munson Healthcare", "industry" : "Hospital And Health Care", "salary" : { "min" : 42500.0, "max" : 57500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry Level Sterile Processing Tech in Traverse City, MI, with adjustments for the healthcare industry and company size." }, "location" : "Traverse City, Michigan, United States", "locations" : [ "Traverse City", "Michigan", "United States" ], "timestamp" : "2026-06-16T12:06:46.076", "fingerprint" : "be8a370bc61470912a801995eaa88381ca4e59a9a85f3434ac6a70e1355e2504", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MunsonHealthcare1/3743990013618846-sterile-processing-tech-i-3-00pm-11-30pm-traverse-city-mi", "externalId" : "3743990013618846", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Traverse City", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.7606481,-85.6165976" } ], "locationText" : "Traverse City, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "hardSkillsList" : [ "Sterilization standards", "Instrument processing" ], "hardSkills" : [ { "name" : "Sterilization standards", "level" : "intermediate" }, { "name" : "Instrument processing", "level" : "intermediate" } ], "majorSkills" : "Sterile processing, Instrument sterilization", "majorSkillsList" : [ "Sterile processing", "Instrument sterilization" ], "coreResponsibilities" : "Clean medical instruments, Sterilize medical instruments, Assemble medical instruments, Process medical instruments, Distribute medical instruments, Maintain sterilization standards, Organize instruments, Store instruments, Retrieve used instruments, Process used instruments, Ensure adequate instrument inventory, Implement new initiatives", "teamCollaboration" : "Operating room staff; Hospital floors; Outside departments; Surgical technicians", "domainKnowledge" : "Healthcare system; Patient safety", "domainList" : [ "healthcare-system", "patient-safety" ], "domainSpecificKnowledge" : [ "Healthcare system", "Patient safety" ], "continuousLearning" : "Ongoing educational opportunities", "problemSolvingSkills" : "Quality control", "specialRequirements" : "Vaccinated for Measles, Mumps, Rubella and Varicella, Flu vaccine during flu season", "qualificationsBasic" : "High school graduate or GED", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As northern Michigan's largest healthcare system, we are deeply connected to the communities we serve and committed to caring for our families, friends and neighbors. When you join Munson Healthcare, you’ll find a supportive work environment that is focused on continuously improving. This is a place where you can learn and grow, and your career can flex with your life. And when you step out of work, you'll find things to do in every season--from freshwater beaches and outdoor recreation to unique restaurants and world-class wineries. Are you ready to improve your life and join the team that improves lives in our communities every day? Start your career at Munson Healthcare! * [Be part of a team](https://www.youtube.com/watch?v=bf4PW4_rxuM) that nurtures a culture of caring every day. * Our dynamic work environment includes many opportunities for growth and development. Munson Healthcare: * Balance – Get out on the water, in the woods, on the trails or around town * Opportunity – Be a part of northern Michigan’s leading healthcare team with opportunities for personal and professional growth throughout the healthcare system * Flexibility – A career that can change as your life changes * Teamwork – Our people make Munson Healthcare a great place to work! What You'll Be Doing - As a Central Processing Technician, you'll be the unsung hero keeping our operating rooms and hospital floors running smoothly! * Master the Art of Clean - Get hands-on with cleaning and sterilizing medical instruments—think of yourself as a precision artist ensuring every tool is spotless and ready for action * Process Like a Pro - Handle the assembly, processing, and distribution of medical instruments with the attention to detail that would make a surgeon proud * Infection Prevention Champion - Play a crucial role in keeping patients safe by maintaining the highest sterilization standards—you're literally a guardian of patient safety! * Storage Strategist - Organize and store instruments so efficiently that finding what you need is a breeze * Team Player Extraordinaire - Collaborate with operating room staff, hospital floors, and outside departments to keep everyone equipped and ready to go * Quality Control Guru - Catch any issues before they become problems—your eagle eye for detail keeps our standards sky-high * Adapt and Thrive - Embrace our fast-paced, ever-changing environment and help us implement new initiatives that keep our department evolving If you're patient, detail-oriented, love hands-on work, and can take direction like a champ, this is your chance to shine! Unlock Your Potential: Advance Your Career to Tech II or III ## Qualifications * High school graduate or GED ## Additional Information What are the duties and responsibilities of a Sterile Processing Technician? A Sterile Processing Technician will have many duties throughout the day, such as retrieving and processing used instruments, processing instruments with various chemicals to sterilize the instruments for future use and ensuring the organization has an adequate inventory of instruments as needed. What makes a good Sterile Processing Technician? A good Sterile Processing Technician must have excellent organizational skills since they are required to oversee the sterilization of instruments across different departments. They must also have good communication skills to provide updates to Surgeons and other medical professionals throughout the day. Who does a Sterile Processing Technician work with? A Sterile Processing Technician typically works alone when they sterilize instruments in the Central Processing Department (CPD), but they may work with Surgical Technicians to ensure instruments are set properly in operating rooms upcoming operations. The Benefits of Working at Munson: * On-the-job training * Competitive salaries * Full benefits, paid holidays, and paid time off (up to 19 days your first year) * Tuition reimbursement and ongoing educational opportunities * Retirement savings plan with employer match and personal consulting * Wellness plans, an employee assistance program and employee discounts *Terms and conditions apply Munson Healthcare requires all employees be vaccinated or have lab confirmed immunity for Measles, Mumps, Rubella and Varicella. MHC also requires all employees to receive a flu vaccine during the flu season in the year that they are hired and annually thereafter, or receive an approved medical or religious exemption.", "summaryDescription" : "Sterile Processing Tech at Munson Healthcare. Skills: Sterile processing, Instrument sterilization. Clean medical instruments. Sterilize medical instruments", "postedDate" : "2026-06-15T14:24:27.000", "createdAt" : "2026-06-16T03:34:33.614", "lastUpdated" : "2026-06-16T12:06:46.076", "ingestTimestamp" : "2026-06-16T03:34:33.614", "mongoId" : "6a308ea2f292fd229c0a469a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42500, "salaryAnnualMax" : 57500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sterilization standards", "Instrument processing", "Sterile processing", "Instrument sterilization", "Healthcare system", "Patient safety" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30505cf292fd229ceef765", "title" : "Sterile Processing Tech", "company" : "Munson Healthcare", "industry" : "Hospital And Health Care", "salary" : { "min" : 41000.0, "max" : 54000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Sterile Processing Tech in Traverse City, MI, with adjustments for the healthcare industry and company size." }, "location" : "Traverse City, Michigan, United States", "locations" : [ "Traverse City", "Michigan", "United States" ], "timestamp" : "2026-06-16T06:03:44.093", "fingerprint" : "a72650b8b777c472a89f894c955a05b282e7dfa51de1dcbefa6ad91f631279ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MunsonHealthcare1/3743990013618846-sterile-processing-tech-i-3-00pm-11-30pm-traverse-city-mi", "externalId" : "3743990013618846", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Traverse City", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.7606481,-85.6165976" } ], "locationText" : "Traverse City, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "hardSkillsList" : [ "Sterilization standards", "Instrument processing" ], "hardSkills" : [ { "name" : "Sterilization standards", "level" : "intermediate" }, { "name" : "Instrument processing", "level" : "intermediate" } ], "majorSkills" : "Sterile processing, Infection prevention", "majorSkillsList" : [ "Sterile processing", "Infection prevention" ], "coreResponsibilities" : "Clean medical instruments, Sterilize medical instruments, Assemble medical instruments, Process medical instruments, Distribute medical instruments, Maintain sterilization standards, Organize instruments, Store instruments, Retrieve used instruments, Process used instruments, Ensure adequate instrument inventory, Implement new initiatives", "teamCollaboration" : "Operating room staff; Hospital floors; Outside departments; Surgical Technicians", "domainKnowledge" : "Healthcare system; Medical instruments", "domainList" : [ "healthcare-system", "medical-instruments" ], "domainSpecificKnowledge" : [ "Healthcare system", "Medical instruments" ], "communicationSkills" : "Provide updates", "continuousLearning" : "On-the-job training; Ongoing educational opportunities", "problemSolvingSkills" : "Quality control", "specialRequirements" : "Vaccinated or immunity for Measles, Mumps, Rubella and Varicella, Annual flu vaccine", "qualificationsBasic" : "High school graduate or GED", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As northern Michigan's largest healthcare system, we are deeply connected to the communities we serve and committed to caring for our families, friends and neighbors. When you join Munson Healthcare, you’ll find a supportive work environment that is focused on continuously improving. This is a place where you can learn and grow, and your career can flex with your life. And when you step out of work, you'll find things to do in every season--from freshwater beaches and outdoor recreation to unique restaurants and world-class wineries. Are you ready to improve your life and join the team that improves lives in our communities every day? Start your career at Munson Healthcare! * [Be part of a team](https://www.youtube.com/watch?v=bf4PW4_rxuM) that nurtures a culture of caring every day. * Our dynamic work environment includes many opportunities for growth and development. Munson Healthcare: * Balance – Get out on the water, in the woods, on the trails or around town * Opportunity – Be a part of northern Michigan’s leading healthcare team with opportunities for personal and professional growth throughout the healthcare system * Flexibility – A career that can change as your life changes * Teamwork – Our people make Munson Healthcare a great place to work! What You'll Be Doing - As a Central Processing Technician, you'll be the unsung hero keeping our operating rooms and hospital floors running smoothly! * Master the Art of Clean - Get hands-on with cleaning and sterilizing medical instruments—think of yourself as a precision artist ensuring every tool is spotless and ready for action * Process Like a Pro - Handle the assembly, processing, and distribution of medical instruments with the attention to detail that would make a surgeon proud * Infection Prevention Champion - Play a crucial role in keeping patients safe by maintaining the highest sterilization standards—you're literally a guardian of patient safety! * Storage Strategist - Organize and store instruments so efficiently that finding what you need is a breeze * Team Player Extraordinaire - Collaborate with operating room staff, hospital floors, and outside departments to keep everyone equipped and ready to go * Quality Control Guru - Catch any issues before they become problems—your eagle eye for detail keeps our standards sky-high * Adapt and Thrive - Embrace our fast-paced, ever-changing environment and help us implement new initiatives that keep our department evolving If you're patient, detail-oriented, love hands-on work, and can take direction like a champ, this is your chance to shine! Unlock Your Potential: Advance Your Career to Tech II or III ## Qualifications * High school graduate or GED ## Additional Information What are the duties and responsibilities of a Sterile Processing Technician? A Sterile Processing Technician will have many duties throughout the day, such as retrieving and processing used instruments, processing instruments with various chemicals to sterilize the instruments for future use and ensuring the organization has an adequate inventory of instruments as needed. What makes a good Sterile Processing Technician? A good Sterile Processing Technician must have excellent organizational skills since they are required to oversee the sterilization of instruments across different departments. They must also have good communication skills to provide updates to Surgeons and other medical professionals throughout the day. Who does a Sterile Processing Technician work with? A Sterile Processing Technician typically works alone when they sterilize instruments in the Central Processing Department (CPD), but they may work with Surgical Technicians to ensure instruments are set properly in operating rooms upcoming operations. The Benefits of Working at Munson: * On-the-job training * Competitive salaries * Full benefits, paid holidays, and paid time off (up to 19 days your first year) * Tuition reimbursement and ongoing educational opportunities * Retirement savings plan with employer match and personal consulting * Wellness plans, an employee assistance program and employee discounts *Terms and conditions apply Munson Healthcare requires all employees be vaccinated or have lab confirmed immunity for Measles, Mumps, Rubella and Varicella. MHC also requires all employees to receive a flu vaccine during the flu season in the year that they are hired and annually thereafter, or receive an approved medical or religious exemption.", "summaryDescription" : "Sterile Processing Tech at Munson Healthcare. Skills: Sterile processing, Infection prevention. Clean medical instruments. Sterilize medical instruments", "postedDate" : "2026-06-15T14:24:27.000", "createdAt" : "2026-06-15T21:40:33.747", "lastUpdated" : "2026-06-16T06:03:44.093", "ingestTimestamp" : "2026-06-15T21:40:33.747", "mongoId" : "6a30505cf292fd229ceef765", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 54000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sterilization standards", "Instrument processing", "Sterile processing", "Infection prevention", "Healthcare system", "Medical instruments" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308907f292fd229c092727", "title" : "Working Student – Risk Management", "company" : "Vattenfall", "industry" : "Utilities", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level working student in risk management in Berlin, Germany, adjusted for the energy industry and part-time employment." }, "location" : "Berlin, BE, Germany", "locations" : [ "Berlin", "BE", "Germany" ], "timestamp" : "2026-06-16T12:51:54.990", "fingerprint" : "6bc1b67e6c2ae43f53a6198ca5cc1fd3eacb54bfc0fb65159765fad5f0f1eb7c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vattenfall/744000132147266-working-student-risk-management-to-support-bu-solar-batteries-in-ba-wind", "externalId" : "744000132147266", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "PART_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "MS Project", "professionalSkills" : [ "Quality Assessment", "Risk Assessment", "Data Quality", "Process Improvement", "Reporting" ], "hardSkillsList" : [ "Version control", "Data validation", "Scheduling", "Stakeholder coordination", "Process documentation" ], "hardSkills" : [ { "name" : "Version control", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Stakeholder coordination", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" } ], "majorSkills" : "Risk Management, Quality Assurance, Scheduling, Documentation", "majorSkillsList" : [ "Risk Management", "Quality Assurance", "Scheduling", "Documentation" ], "coreResponsibilities" : "Perform quality checks on risk registers, Perform quality checks on action logs, Perform quality checks on workshop minutes, Perform quality checks on risk manager reports, Validate data quality, Raise data quality issues, Plan risk assessments, Schedule risk assessments, Plan workshops, Schedule workshops, Track open actions, Track due dates, Track escalations, Ensure timely closure, Ensure timely documentation, Maintain templates, Maintain checklists, Maintain processes, Support reporting, Prepare management materials", "teamCollaboration" : "Internal stakeholders; External stakeholders; Project teams; Site teams", "projectManagementSkills" : [ "MS Project" ], "domainKnowledge" : "Hybrid parks; Solar; Batteries; Renewable energy", "domainList" : [ "hybrid-parks", "solar", "batteries", "renewable-energy" ], "domainSpecificKnowledge" : [ "Hybrid parks", "Solar", "Batteries", "Renewable energy" ], "toolProficiency" : [ "SharePoint" ], "communicationSkills" : "Status updates; Risk manager reports", "documentationSkills" : "Risk documentation; Process documentation", "continuousLearning" : "High learning curve", "problemSolvingSkills" : "Quality checks; Data validation", "specialRequirements" : "Occasional travel to sites, Willingness to drive to sites", "qualificationsBasic" : "At least one year to finish study, German language C1 level, Valid Class driving license", "qualificationsPreferred" : "First exposure to risk management, First exposure to quality management, First exposure to audits, First exposure to project controls, Experience with risk registers, Experience with issue trackers, Experience with document control systems, English business fluency, Interest in renewable energy, Interest in solar projects, Interest in battery projects", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Vattenfall is a European energy company with approximately 21 000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission. For our Vattenfall Business Control department we are now looking for a Working Student – Risk Management (Quality Check & Risk Assessment Scheduling) to support BU Solar & Batteries in BA Wind for our office in Berlin. Business Area Wind is responsible for Vattenfall’s Onshore and Offshore Wind as well as other non-hydro Renewable activities like Solar and Batteries. Today we develop, construct and operate wind generation in Sweden, Denmark, Germany, the Netherlands and the UK. In addition, we - have a clear strategy to develop our Solar and Batteries operations further. Project Objective: We are looking for a Working Student to support Risk Management activities for hybrid parks (Solar + Battery), with a strong focus on quality assurance of risk documentation and planning/scheduling risk assessments and workshops. As working student in the Controlling Risk Management you will have the following key tasks: Key Responsibilities * Quality Assessment (QA) + Control (QC) * Perform structured quality checks on risk registers, action logs, workshop minutes, and risk manager reports (completeness, consistency, traceability, version control). * Validate data quality (e.g., missing treatment action, logic checks, naming conventions, duplicates) and raise issues proactively. * Risk Assessment Planning & Scheduling * Using MS Project to do Plan and schedule risk assessments/workshops with internal and external stakeholders (calendar coordination, invitations, agendas, logistics, follow-ups). * Track open actions, due dates, and escalation triggers; ensure timely closure and documentation. * Documentation & Process Support * Maintain templates, checklists, and process documentation; continuously improve “Work in Smart”. * Support reporting: weekly/monthly status updates, risk manager report, and preparation of management-ready materials. * On-site support (when needed) * Occasional travel to sites for Hybrid construction site, and workshops/audits and coordination support. Location Berlin ## Qualifications Your profile * Currently enrolled at a university (Bachelor/Master) and at least one or plus years to finish the study in Engineering /Business/ Finance or similar. * German language: C1 level with official certification (e.g., Goethe, telc, TestDaF, DSH) * Driving license: valid Class B driving license and willingness to drive to sites if required. * Strong attention to detail; ability to execute quality checks with a structured mindset. * Good organizational skills: reliable scheduling, follow-ups, and stakeholder coordination. Nice-to-have * First exposure to risk management, quality management, audits, or project controls. * Experience with risk registers, issue trackers, or document control systems (e.g., SharePoint). * English business fluency (for international stakeholders). * Interest in renewable energy / solar / battery projects. ## Additional Information Our offer * Competitive working-student salary aligned with Berlin/Germany market benchmarks (incl. paid vacation and standard working-student benefits).Hands-on experience in risk management and quality processes in green energy projects. * High learning curve, and direct exposure to project and site teams. * Flexible working model aligned with your study schedule (Home office etc.). More Information We welcome your application in ENGLISH including your CV, proof of enrollment, and driving license confirmation. We kindly request that you do not send applications by any means other than via our website as we cannot guarantee that we will be able to process applications that are not made via our website. For more information about the recruitment process you are welcome to contact our recruiter Alexandra Weitkus via alexandramichelle.weitkus@vattenfall.de. At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation. The security of Vattenfall and its employees is essential. For that reason, a pre-employment screening will be part of your recruitment process. The screening is based on the role you will fulfill within Vattenfall. The screening will be performed by a third party, DISA. We look forward to receiving your application!", "summaryDescription" : "Working Student – Risk Management at Vattenfall. Skills: Risk Management, Quality Assurance, Scheduling, Documentation. Perform quality checks on risk registers. Perform quality checks on action logs", "postedDate" : "2026-06-15T09:00:17.000", "createdAt" : "2026-06-16T01:43:09.827", "lastUpdated" : "2026-06-16T12:51:54.990", "ingestTimestamp" : "2026-06-16T01:43:09.827", "mongoId" : "6a308907f292fd229c092727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Version control", "Data validation", "Scheduling", "Stakeholder coordination", "Process documentation", "Risk Management", "Quality Assurance", "Documentation", "Quality Assessment", "Risk Assessment", "Data Quality", "Process Improvement", "Reporting", "MS Project", "Hybrid parks", "Solar", "Batteries", "Renewable energy", "SharePoint" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30601ff292fd229cf85f7f", "title" : "E-Commerce Working Student (gn)", "company" : "The Quality Group GmbH", "industry" : "E-Commerce", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Working Student in Hamburg, Germany, adjusted for entry-level seniority and the food & beverage industry." }, "location" : "Ottensen, Hamburg, Germany", "locations" : [ "Ottensen", "Hamburg", "Germany" ], "timestamp" : "2026-06-16T08:42:15.395", "fingerprint" : "4392505191d6a240c1cb0a8fe2509af24ce6acd0eaaa5c409b6fd50ecf32f05a", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.eu.greenhouse.io/thequalitygroupgmbh1/jobs/4896330101", "externalId" : "4896330101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Shopify", "majorSkills" : "E-Commerce, Shop Operations", "majorSkillsList" : [ "E-Commerce", "Shop Operations" ], "coreResponsibilities" : "Support daily shop operations in Shopify, Maintain and update product pages, Update landing pages, Update campaign content, Update shop content, Support optimization of product detail pages, Support optimization of collections, Support optimization of conversion-relevant areas, Test new features, Test campaigns, Test shop adjustments, Ensure quality of features and adjustments, Analyze shop data, Prepare insights for the team, Support development of customer journey, Gain practical experience in D2C E-Commerce", "teamCollaboration" : "Marketing; CRM; Brand; Tech", "domainKnowledge" : "D2C E-Commerce", "domainList" : [ "d2c-e-commerce" ], "domainSpecificKnowledge" : [ "D2C E-Commerce" ], "toolProficiency" : [ "Shopify", "KI applications" ], "qualificationsBasic" : "Studying BWL, E-Commerce, Wirtschaftsinformatik, Marketing or comparable, First practical experience in E-Commerce, First touchpoints with Shopify, Structured, reliable, and careful work, Willingness to implement things yourself and take responsibility, Very good German language skills, Confident communication in English", "qualificationsPreferred" : "Passion for E-Commerce, digital products, and consumer brands", "workSiteFlexibility" : "Flexible", "rawDescription" : "Deine Mission bei uns Du unterstützt unser E-Commerce-Team bei den täglichen Shop Operations in Shopify Du pflegst und aktualisierst Produktseiten, Landingpages, Kampagneninhalte und Shop-Content Du unterstützt bei der Optimierung von Produktdetailseiten, Collections und Conversion-relevanten Bereichen Du testest neue Features, Kampagnen und Shop-Anpassungen und stellst deren Qualität sicher Du analysierst Shop-Daten und bereitest relevante Erkenntnisse für das Team auf Du arbeitest eng mit den Teams aus Marketing, CRM, Brand und Tech zusammen Du unterstützt bei der Weiterentwicklung unserer Customer Journey und sammelst praktische Erfahrung im D2C-E-Commerce Deine Erfahrung & Skills Du studierst BWL, E-Commerce, Wirtschaftsinformatik, Marketing oder einen vergleichbaren Studiengang Du begeisterst dich für E-Commerce, digitale Produkte und Consumer Brands Du hast bereits erste praktische Erfahrungen im E-Commerce gesammelt Du hattest bereits erste Berührungspunkte mit Shopify Du arbeitest strukturiert, zuverlässig und sorgfältig Du hast Spaß daran, Dinge selbst umzusetzen und Verantwortung zu übernehmen Du verfügst über sehr gute Deutschkenntnisse und kannst sicher auf Englisch kommunizieren Du nutzt moderne Tools und KI-Anwendungen selbstverständlich im Arbeitsalltag Warum wir? Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community. Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich. Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem: Attraktive Mitarbeiterrabatte auf Produkte von ESN & More Flexible Arbeitszeiten & Homeoffice-Möglichkeiten Zuschüsse zu Mobilität & Fitness ( z. B. Wellpass, Deutschlandticket) Betriebliche Altersvorsorge Workation-Optionen und mehr Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet. Über uns The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition. ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht. Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner. Das sind wir – The Quality Group – nice to meet you! Now it’s your turn! Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns.", "summaryDescription" : "E-Commerce Working Student (gn) at The Quality Group GmbH. Skills: E-Commerce, Shop Operations. Support daily shop operations in Shopify. Maintain and update product pages", "postedDate" : "2026-06-15T23:24:29.307", "createdAt" : "2026-06-15T23:24:29.307", "lastUpdated" : "2026-06-16T08:42:15.395", "ingestTimestamp" : "2026-06-15T23:24:29.307", "mongoId" : "6a30601ff292fd229cf85f7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "E-Commerce", "Shop Operations", "D2C E-Commerce", "Shopify", "KI applications" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43874d8ee00a09b0be7", "title" : "Commercial Working Student", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 20000.0, "max" : 26000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Commercial Working Student in Amsterdam, Netherlands, adjusted for the e-commerce industry and company size." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T13:33:45.614", "fingerprint" : "b1cdb4dfbf04770d9381efc159a84bbcfed9dacda58ae65c23bb5859d1725439", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=5378258", "externalId" : "5378258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Assortment analysis", "Product development", "International sourcing" ], "hardSkillsList" : [ "Performance analysis", "Price tracking", "Margin improvement" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Price tracking", "level" : "intermediate" }, { "name" : "Margin improvement", "level" : "intermediate" } ], "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Manage and optimize assortment, Analyze assortment data, Identify growth opportunities, Support range decisions, Analyze performance, Track prices, Improve margins, Involve in product development, Select products, Ensure packaging and branding, Collaborate with category managers, Collaborate with suppliers, Collaborate with design agencies, Analyze assortment strategies, Assist in product tastings, Assist in sourcing efforts, Identify new sourcing opportunities, Support cross-border collaboration", "teamCollaboration" : "Cross-functional exposure; Collaborate with category managers; Collaborate with suppliers; Collaborate with buyers; Collaborate with creatives", "domainKnowledge" : "Product assortment; Private label products; Sustainable business model", "domainList" : [ "product-assortment", "private-label-products", "sustainable-business-model" ], "domainSpecificKnowledge" : [ "Product assortment", "Private label products", "Sustainable business model" ], "continuousLearning" : "Picnic Tech Academy; Lunch & Learn sessions; Tailored soft skills training; Professional language courses", "innovationCreativity" : "Drive own projects", "qualificationsBasic" : "Student at least in 2nd year of bachelor, Education in Business Administration, Education in Economics, Education in Marketing, Available for at least 6 months, Available minimum 3 days p/w, Fluent in English", "qualificationsPreferred" : "Preferably in Dutch", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell In this role, you’ll be supporting the Commercial team responsible for shaping the product assortment that puts a smile on our customers’ faces \uD83D\uDE0A. As a Commercial Working Student, you’ll have the opportunity to contribute in one of three core teams: Trading, Promo, or Private Label - each offering a unique area of focus and impact. Here’s what you can expect in each team: \uD83D\uDCCATrading Team: You'll help manage and optimize our assortment by diving into assortment data, identifying growth opportunities, and supporting range decisions. You’ll work on performance analysis, price tracking, and margin improvement - directly contributing to the success of Picnic’s product offering. \uD83D\uDECD️Private Label Team: You’ll be involved in the full development process of our private label products. Together with a passionate team, your goal will be to select the best products for the best prices and ensure they have standout packaging and branding. You’ll collaborate with category managers, suppliers, and design agencies to bring high-quality, well-designed products to life. Tricks of the trade Cross-Functional Exposure: Collaborate closely with category managers, suppliers, buyers, and creatives to gain a well-rounded view of the Commercial team and how different functions work together. Assortment Analysis: Support in analyzing assortment strategies to help ensure our product range is data-driven, relevant, and tailored to customer needs. Product Development Support: Assist in product tastings and sourcing efforts to contribute to the selection of top-quality items at the best prices. International Sourcing: Work with international partners and teams to help identify new sourcing opportunities and support cross-border collaboration. Hands-On Experience: Get practical experience in a fast-paced, data-driven environment where ownership, curiosity, and learning by doing are key. Your superpowers Student at least in 2nd year of bachelor (HBO or WO) Education in a relevant field; Business Administration, Economics, Marketing or similar Available for at least 6 months Available a minimum of 3 days p/w Curious, independent, detail-oriented with a proactive mindset Fluent in English and preferably in Dutch Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package You’ll receive a gross hourly wage of €16,75 (all inclusive), along with a laptop to support your work. Travel costs can also be reimbursed, depending on your location.", "summaryDescription" : "Commercial Working Student at Picnic. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Manage and optimize assortment. Analyze assortment data", "postedDate" : "2026-06-14T09:31:36.756", "createdAt" : "2026-06-14T09:31:36.756", "lastUpdated" : "2026-06-15T13:33:45.614", "ingestTimestamp" : "2026-06-14T09:31:36.756", "mongoId" : "6a2ca43874d8ee00a09b0be7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Price tracking", "Margin improvement", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Assortment analysis", "Product development", "International sourcing", "Product assortment", "Private label products", "Sustainable business model" ], "skillCount" : 13, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6af374d8ee00a090f729", "title" : "Senior Data Analyst with French", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Warsaw, Poland, adjusted for the financial services industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T12:48:14.039", "fingerprint" : "4c4421972451fabc6a6352e0c5acb3b20b1be3ccd90ccb7fd0db9db7727bd1b9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8003540", "externalId" : "8003540", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2333742,21.0711489" }, { "city" : "Kraków", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.0469432,19.9971534" } ], "locationText" : "Warsaw, Poland; Kraków, Poland", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Pandas, NumPy, SciPy, PySpark", "professionalSkills" : [ "Data wrangling", "Data transformation", "ETL processes", "Analytical skills", "Problem-solving skills", "Critical-thinking skills", "Stakeholder management" ], "hardSkillsList" : [ "Data analysis", "Machine learning models" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, ETL", "majorSkillsList" : [ "Data analysis", "Machine learning", "ETL" ], "coreResponsibilities" : "Support development of models, Prepare data from sources, Clean datasets, Transform datasets, Validate datasets, Analyze datasets, Design ETL pipelines, Develop ETL pipelines, Optimize ETL pipelines, Work with large databases, Extract data, Manage data, Collaborate with teams, Partner with stakeholders, Understand requirements, Translate requirements, Identify data quality issues, Implement solutions, Improve data accuracy, Improve data consistency, Improve data accessibility, Contribute to process improvement, Support knowledge sharing, Support best practices", "teamCollaboration" : "Cross-functional teams; Data scientists; Model developers; Business stakeholders; International stakeholders", "domainKnowledge" : "Financial services; Machine learning models", "domainList" : [ "financial-services", "machine-learning-models" ], "domainSpecificKnowledge" : [ "Financial services", "Machine learning models" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Professional development; Learning platforms; Professional certifications", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Critical-thinking skills", "qualificationsBasic" : "5+ years experience, Fluency in French (B2+), Fluency in English, SQL proficiency, Python proficiency, Bachelor's degree", "qualificationsPreferred" : "Banking domain experience, Financial services domain experience, Experience supporting machine learning, Experience supporting advanced analytics, Knowledge of cloud-based data platforms, Knowledge of modern data architectures, Experience working in Agile environments, Exposure to data governance, Exposure to data quality frameworks, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Senior Data Analyst (Financial Services) with French Location: Warsaw or Kraków (Hybrid 1-2 office days per month) About Capco At Capco Poland, we're not just another consultancy—we're the dynamic force driving digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Our culture is fast-paced, flexible, and entrepreneurial. We move quickly, think creatively, and put people at the center of everything we do. We're passionate about delivering value to our clients while creating opportunities for our people to grow and thrive. We're proud to be: Leaders in banking, payments, capital markets, wealth, and asset management consulting Champions of an agile, innovative, and collaborative work environment Committed to attracting and developing exceptional talent The Role We are looking for an experienced Senior Data Analyst with French to join a high-performing team supporting the development of advanced machine learning models within a global financial services environment. In this role, you will work closely with data scientists, model developers, and business stakeholders to deliver high-quality data solutions that power analytical and modeling initiatives. You will be responsible for sourcing, transforming, analyzing, and preparing large-scale datasets while contributing to the design and implementation of robust ETL processes. As a senior member of the team, you will also play a key role in driving analytical initiatives, collaborating with international stakeholders, and ensuring data quality and consistency across complex environments. Key Responsibilities Support the development of advanced financial machine learning models by sourcing, aggregating, and preparing data from multiple internal and external sources. Clean, transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities. Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows. Work with large-scale databases and distributed data environments to extract and manage data efficiently. Collaborate with cross-functional teams including model developers, data scientists, and business stakeholders. Partner with business stakeholders to understand requirements and translate them into data-driven solutions. Identify data quality issues and implement solutions to improve data accuracy, consistency, and accessibility. Contribute to the continuous improvement of data management, reporting, and analytical processes. Support knowledge sharing and best practices across the wider data and analytics community. Skills & Experience 5+ years of experience as a Data Analyst, preferably within complex enterprise environments. Fluency in French (B2+) and English is required. Strong proficiency in SQL and Python, including: Pandas NumPy SciPy PySpark Solid understanding of data wrangling, data transformation, and ETL processes. Experience working with large and complex databases and distributed data environments. Strong analytical, problem-solving, and critical-thinking skills. Experience collaborating with business stakeholders and translating business requirements into analytical solutions. Ability to work independently and manage multiple priorities in a fast-paced environment. Excellent communication and stakeholder management skills. Detail-oriented, collaborative, and business-focused mindset. Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Nice to Have Banking or financial services domain experience. Experience supporting machine learning or advanced analytics initiatives. Knowledge of cloud-based data platforms and modern data architectures. Experience working in Agile environments. Exposure to data governance and data quality frameworks. What We Offer Flexible collaboration model based on a B2B contract. Opportunity to work on challenging projects within the financial services sector. Exposure to modern data, analytics, and machine learning initiatives. Collaborative and supportive team environment. Access to professional development opportunities and a global network of experts. Hybrid working model. Access to employee benefits packages, including private medical care and life insurance. Access to learning platforms and professional certifications. Recruitment Process Screening Call with a Recruiter Capco Hiring Manager Interview Client Interview Feedback / Offer Joining Capco means joining an organization that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. #LI-HYBRID", "summaryDescription" : "Senior Data Analyst with French at Capco. Skills: Data analysis, Machine learning, ETL. Support development of models. Prepare data from sources", "postedDate" : "2026-06-14T03:38:00.392", "createdAt" : "2026-06-14T03:38:00.392", "lastUpdated" : "2026-06-15T12:48:14.039", "ingestTimestamp" : "2026-06-14T03:38:00.392", "mongoId" : "6a2c6af374d8ee00a090f729", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Machine learning models", "Machine learning", "ETL", "Data wrangling", "Data transformation", "ETL processes", "Analytical skills", "Problem-solving skills", "Critical-thinking skills", "Stakeholder management", "Financial services" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30667af292fd229cfb2180", "title" : "E-Commerce Working Student (gn)", "company" : "The Quality Group", "industry" : "E-Commerce", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an E-Commerce Working Student in Hamburg, Germany, adjusted for entry-level seniority and the food and beverage industry." }, "location" : "Ottensen, Hamburg, Germany", "locations" : [ "Ottensen", "Hamburg", "Germany" ], "timestamp" : "2026-06-16T09:00:55.750", "fingerprint" : "9311ec5a5bcd9d14f24608d9024ca304542a1bf31288dff7a171e3abd490641f", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.eu.greenhouse.io/thequalitygroupgmbh2/jobs/4896357101", "externalId" : "4896357101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Shopify", "professionalSkills" : [ "Shop operations", "Content management", "Data analysis" ], "hardSkillsList" : [ "Product page optimization", "Landing page optimization", "Conversion optimization" ], "hardSkills" : [ { "name" : "Product page optimization", "level" : "intermediate" }, { "name" : "Landing page optimization", "level" : "intermediate" }, { "name" : "Conversion optimization", "level" : "intermediate" } ], "majorSkills" : "E-Commerce, Shopify, Content management", "majorSkillsList" : [ "E-Commerce", "Shopify", "Content management" ], "coreResponsibilities" : "Support daily shop operations, Maintain and update product pages, Update landing pages, Update campaign content, Update shop content, Optimize product detail pages, Optimize collections, Optimize conversion-relevant areas, Test new features, Test campaigns, Test shop adjustments, Ensure quality of features, Analyze shop data, Prepare insights for team, Develop customer journey", "teamCollaboration" : "Marketing team; CRM team; Brand team; Tech team", "domainKnowledge" : "D2C E-Commerce", "domainList" : [ "d2c-e-commerce" ], "domainSpecificKnowledge" : [ "D2C E-Commerce" ], "toolProficiency" : [ "Shopify", "KI applications" ], "communicationSkills" : "English communication", "qualificationsBasic" : "Studying BWL, E-Commerce, Wirtschaftsinformatik, Marketing or comparable, First practical experience in E-Commerce, Very good German skills, Fluent English communication", "qualificationsPreferred" : "First touchpoints with Shopify", "workSiteFlexibility" : "Flexible", "rawDescription" : "Deine Mission bei uns Du unterstützt unser E-Commerce-Team bei den täglichen Shop Operations in Shopify Du pflegst und aktualisierst Produktseiten, Landingpages, Kampagneninhalte und Shop-Content Du unterstützt bei der Optimierung von Produktdetailseiten, Collections und Conversion-relevanten Bereichen Du testest neue Features, Kampagnen und Shop-Anpassungen und stellst deren Qualität sicher Du analysierst Shop-Daten und bereitest relevante Erkenntnisse für das Team auf Du arbeitest eng mit den Teams aus Marketing, CRM, Brand und Tech zusammen Du unterstützt bei der Weiterentwicklung unserer Customer Journey und sammelst praktische Erfahrung im D2C-E-Commerce Deine Erfahrung & Skills Du studierst BWL, E-Commerce, Wirtschaftsinformatik, Marketing oder einen vergleichbaren Studiengang Du begeisterst dich für E-Commerce, digitale Produkte und Consumer Brands Du hast bereits erste praktische Erfahrungen im E-Commerce gesammelt Du hattest bereits erste Berührungspunkte mit Shopify Du arbeitest strukturiert, zuverlässig und sorgfältig Du hast Spaß daran, Dinge selbst umzusetzen und Verantwortung zu übernehmen Du verfügst über sehr gute Deutschkenntnisse und kannst sicher auf Englisch kommunizieren Du nutzt moderne Tools und KI-Anwendungen selbstverständlich im Arbeitsalltag Warum wir? Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community. Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich. Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem: Attraktive Mitarbeiterrabatte auf Produkte von ESN & More Flexible Arbeitszeiten & Homeoffice-Möglichkeiten Zuschüsse zu Mobilität & Fitness ( z. B. Wellpass, Deutschlandticket) Betriebliche Altersvorsorge Workation-Optionen und mehr Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet. Über uns The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition. ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht. Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner. Das sind wir – The Quality Group – nice to meet you! Now it’s your turn! Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns.", "summaryDescription" : "E-Commerce Working Student (gn) at The Quality Group. Skills: E-Commerce, Shopify, Content management. Support daily shop operations. Maintain and update product pages", "postedDate" : "2026-06-15T23:23:51.848", "createdAt" : "2026-06-15T23:23:51.848", "lastUpdated" : "2026-06-16T09:00:55.750", "ingestTimestamp" : "2026-06-15T23:23:51.848", "mongoId" : "6a30667af292fd229cfb2180", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Product page optimization", "Landing page optimization", "Conversion optimization", "E-Commerce", "Shopify", "Content management", "Shop operations", "Data analysis", "D2C E-Commerce", "KI applications" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3056c3f292fd229cf2e4f1", "title" : "Working Student Launch Vehicle AIT", "company" : "Isar Aerospace SE", "industry" : "Manufacturing", "salary" : { "min" : 26000.0, "max" : 34000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level working student in the aerospace industry in Ottobrunn, Germany, adjusted for company size and specific role." }, "location" : "Ottobrunn, Bavaria, Germany", "locations" : [ "Ottobrunn", "Bavaria", "Germany" ], "timestamp" : "2026-06-16T08:46:12.272", "fingerprint" : "36c8b556000175f8958ff1e2d86ba10cba3fe44a8601d4f32cf39f6a4efcbc21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/isaraerospace/jobs/4889198101", "externalId" : "4889198101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ottobrunn", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.0648406,11.6647814" } ], "locationText" : "Ottobrunn, Bavaria, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "CAD", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "CAD implementation", "GSE modification", "Process optimization" ], "hardSkills" : [ { "name" : "CAD implementation", "level" : "intermediate" }, { "name" : "GSE modification", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" } ], "majorSkills" : "AIT Engineering, GSE Design, Process Improvement", "majorSkillsList" : [ "AIT Engineering", "GSE Design", "Process Improvement" ], "coreResponsibilities" : "Conceptualize ground support equipment, Implement ground support equipment, Modify existing GSE, Optimize existing GSE, Support AIT Engineering team, Prepare work instructions, Assist AIT Management, Implement AIT flows, Implement AIT processes, Create templates, Create processes, Optimize AIT workflows, Assist with troubleshooting, Investigate anomalies", "teamCollaboration" : "Multidisciplinary teams", "projectManagementSkills" : [ "Drive projects to completion" ], "domainKnowledge" : "Launch vehicle AIT; Ground support equipment; Launcher assembly; Launcher integration; Space industry", "domainList" : [ "launch-vehicle-ait", "ground-support-equipment", "launcher-assembly", "launcher-integration", "space-industry" ], "domainSpecificKnowledge" : [ "Launch vehicle AIT", "Ground support equipment", "Launcher assembly", "Launcher integration", "Space industry" ], "toolProficiency" : [ "CAD software" ], "communicationSkills" : "English fluency", "documentationSkills" : "Work instructions", "continuousLearning" : "Steep learning curve", "problemSolvingSkills" : "Problem-solving; Analytical skills; Troubleshooting anomalies", "outcomesObjectives" : "Improve processes; Improve workflows; Improve equipment", "qualificationsBasic" : "Proficient in CAD software, Fluent in English", "qualificationsPreferred" : "Mechanical engineering degree, Aerospace engineering degree, Structural engineering degree", "workSiteFlexibility" : "Flexible", "rawDescription" : "Mission Brief We are seeking a talented and highly motivated working student to join our Assembly, Integration, and Test Engineering team (AIT Engineering) in Munich. In this role, you will support all launch vehicle AIT engineering activities as well as independently working on specific projects to improve our processes, workflows and various equipment. You can expect a steep learning curve and the opportunity to make a meaningful impact to the European space industry. Your Role in Our Space Mission: Conceptual design and CAD implementation of ground support equipment (GSE) and jigs for launcher assembly and integration. Modification and optimization of existing GSE and jigs. Support the AIT Engineering team with the preparation of work instructions. Assist AIT Management in the implementation of AIT flows and processes. Create templates and processes to optimize AIT workflows. Assist with troubleshooting and investigating anomalies in various AIT operations and equipment. Qualification Checklist Strong can-do attitude with excellent problem-solving and analytical skills. Currently pursuing a degree in Mechanical, Aerospace, Structural Engineering or a related field. Proficient in CAD software. Able to work independently as well as collaboratively within multidisciplinary teams. Comfortable in a flexible, fast-paced environment. Demonstrated ownership and ability to independently drive projects to completion. Strong communication skills and fluent in English. Benefits Subsidised lunch: Stay energised with delicious, subsidised lunches every day Public transport ticket: Commute with ease using a fully financed Deutschlandticket Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass) Free snacks and drinks: Indulge in a variety of free snacks and beverages to keep you fuelled throughout the day Physical and mental well-being: Access via OpenUp the online support from certified psychologists and lifestyle experts at no cost to you and your family And Much More! Discover additional perks and benefits when you join our team. Who we are We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space. Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations. We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation. We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career! Want to find out more about us? Visit www.isaraerospace.com Data Protection We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy. Disclaimer Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply. We use Metaview to record interview audio so our team can review it later and stay focused during the conversation. We will record interviews only if you opt in. Please note that we will request your consent separately during the interview process. Participation is completely voluntary and will not affect your application in any way. For more information on how we process your personal data, please see our Privacy Policy.", "summaryDescription" : "Working Student Launch Vehicle AIT at Isar Aerospace SE. Skills: AIT Engineering, GSE Design, Process Improvement. Conceptualize ground support equipment. Implement ground support equipment", "postedDate" : "2026-06-15T23:20:10.826", "createdAt" : "2026-06-15T23:20:10.826", "lastUpdated" : "2026-06-16T08:46:12.272", "ingestTimestamp" : "2026-06-15T23:20:10.826", "mongoId" : "6a3056c3f292fd229cf2e4f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "CAD implementation", "GSE modification", "Process optimization", "AIT Engineering", "GSE Design", "Process Improvement", "Problem-solving", "Analytical skills", "Drive projects to completion", "Launch vehicle AIT", "Ground support equipment", "Launcher assembly", "Launcher integration", "Space industry", "CAD software" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3075d0f292fd229c013c74", "title" : "Revenue Operations Analyst - Working Student", "company" : "Planet", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a working student in the technology industry in Berlin, Germany, adjusted for entry-level seniority and part-time employment." }, "location" : "EMEA, Remote", "locations" : [ "EMEA", "Remote", "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:08:23.182", "fingerprint" : "2474f22e56395a4be11b95d996eb69d2a9592b1116bf715ec2b3f49c0d797542", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/planetlabs/jobs/7992927", "externalId" : "7992927", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" }, { "country" : "Germany", "continent" : "eu", "workMode" : "remote" }, { "country" : "Austria", "continent" : "eu", "workMode" : "remote" }, { "country" : "Slovenia", "continent" : "eu", "workMode" : "remote" }, { "country" : "Netherlands", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Berlin, Germany; Germany; Austria; Slovenia; Netherlands", "employmentType" : "PART_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The Working Student will join our dynamic Revenue Operations Team (RevOps) to support the quote-to-cash operations of Planet. In this role, you will support the Sales team by reviewing, structuring, and processing deals to ensure alignment with internal policies and pricing guidelines. You will collaborate with Sales, Customer Success, Finance, Accounting and Legal to facilitate deal approvals and ensure smooth execution of contracts. This position is excellent for students interested in Revenue Operations who want to gain experience in quoting and pricing, contracts, deal proposals, and related. This is a part-time, temporary position working up to 20 hours/week. This is a hybrid position that requires working from our Berlin office 2x/week. Impact You’ll Own: Assist the Sales team in reviewing deal proposals to ensure compliance with pricing, discounting, and contract guidelines. Create and manage quotes in the CRM system (e.g., Salesforce), ensuring accurate pricing and terms before submission for approval. Work closely with Sales, Finance, Legal, and other internal teams to facilitate the deal approval process and resolve any potential roadblocks. Assist with reviewing contracts for accuracy, adherence to terms, and proper approvals before sending to customers for execution. Help maintain accurate deal data in the CRM and support the sales team in navigating deal approvals and processes. Identify areas for improvement within the deal desk process and suggest ways to enhance efficiency and reduce friction for the sales team. What You Bring: Currently enrolled in a full-time program at a university Experience working with large data sets Proficiency in Excel/Google Sheets Ability to communicate in both German and English, the working language of the company Experience proofreading and editing with attention to detail Experience collaborating and working with teams What Makes You Stand Out: Experience in an operations role supporting Sales or Quote-to-Cash processes Experience with tools such as Salesforce, Clari, Gong, ZoomInfo Application Deadline: September 14, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Generous time off including vacation, holidays and company global days off Comprehensive Leave Policies Employee Wellness Program Home Office Reimbursement Monthly benefit to choose from a variety of providers (Urban Sports Club, Groceries, Clothes, Entertainment, Transportation...)* Monthly Phone and Internet Reimbursement Access to LinkedIn Learning Volunteering Benefits San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e. g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.", "summaryDescription" : "Revenue Operations Analyst - Working Student at Planet", "postedDate" : "2026-06-16T01:16:40.044", "createdAt" : "2026-06-16T01:16:40.044", "lastUpdated" : "2026-06-16T10:08:23.182", "ingestTimestamp" : "2026-06-16T01:16:40.044", "mongoId" : "6a3075d0f292fd229c013c74", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43a74d8ee00a09b0d53", "title" : "Working Student - Business Analyst", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time Working Student - Business Analyst in Amsterdam, Netherlands, adjusted for the e-commerce industry." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-16T04:14:07.739", "fingerprint" : "89c762d0a3b65c7bee7ce360dd51281f1f856b520bb0b620dd2a9b199f2c720e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=2987976", "externalId" : "2987976", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Business consulting" ], "hardSkillsList" : [ "Data analytics" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Business consulting", "majorSkillsList" : [ "Data analytics", "Business consulting" ], "coreResponsibilities" : "Analyze data, Identify opportunities, Support strategies, Create models, Optimize models, Work with teams, Deliver solutions, Challenge status quo, Rethink processes", "teamCollaboration" : "Work with teams", "domainKnowledge" : "Grocery shopping", "domainList" : [ "grocery-shopping" ], "domainSpecificKnowledge" : [ "Grocery shopping" ], "communicationSkills" : "Explain concepts", "continuousLearning" : "Lunch & Learn sessions; Team trainings", "innovationCreativity" : "Groundbreaking solutions; Push boundaries", "problemSolvingSkills" : "Analytical mindset", "specialRequirements" : "Minimum 16h per week, Minimum 4 months", "outcomesObjectives" : "Achieve operational excellence; Real-time improvements", "qualificationsBasic" : "Master's program enrollment, Proficiency with SQL, Proficiency with Python, Fluent in English", "qualificationsPreferred" : "French is a plus, EU citizenship", "workSiteFlexibility" : "Onsite", "rawDescription" : "In a nutshell As a Business Analyst Working Student at Picnic, you’ll be at the forefront of innovation, tackling complex challenges with fresh, groundbreaking solutions. This role is all about driving impact—you’ll analyze data, help identify opportunities, and support strategies that push boundaries and redefine the grocery shopping experience. You’ll join a dynamic and collaborative team in a fast-paced, innovative environment. Tricks of the trade Solving real-life puzzles: Tackle critical business questions that shape Picnic’s business model every day. Curious about the questions? Enabling: Achieve operational excellence by approaching challenges with a data-driven and analytical mindset Building: Create and optimize models for real-time improvements Communicating: Work effectively with different teams to deliver impactful and sustainable solutions Owning your projects: Take initiative by challenging the status quo and rethinking how things are done. Just because it’s been done that way doesn’t mean it’s the best way. Try us! Your superpowers You are currently enrolled in a Master’s program in Aerospace, Mechanical, Industrial, Automation or Production Engineering; Mathematics; Econometrics; AI; or equivalent Passion for data analytics and business consulting You have knowledge of fast-paced environments You have the ability to explain complex analytical concepts in a comprehensible manner to various stakeholders Your communication skills allow you to convert abstract plans into digestible information Proficiency with SQL and Python or are excited to learn You are fluent in both written and verbal English (French is a plus) and have an EU citizenship available Available for minimum 16h per week for minimum 4 months, preferably more Depending on your performance, we can discuss further opportunities at Picnic! Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll have plenty of chances to grow, whether it’s through our casual Lunch & Learn sessions or team specific trainings. We’re especially keen on keeping great talent around: perform well as a working student, and we would love to explore transitioning you into a full-time role. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package We offer competitive compensation and a pension plan that looks out for your future self.", "summaryDescription" : "Working Student - Business Analyst at Picnic. Skills: Data analytics, Business consulting. Analyze data. Identify opportunities", "postedDate" : "2026-06-14T21:48:54.729", "createdAt" : "2026-06-14T21:48:54.729", "lastUpdated" : "2026-06-16T04:14:07.739", "ingestTimestamp" : "2026-06-14T21:48:54.729", "mongoId" : "6a2ca43a74d8ee00a09b0d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Business consulting", "Grocery shopping" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43a74d8ee00a09b0d0e", "title" : "Talent Acquisition - Working Student", "company" : "Picnic", "industry" : "Logistics", "salary" : { "min" : 16.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-16T01:58:54.689", "fingerprint" : "460dcd870ad95b3588d7fc294c64d013c711e6d939163d281baef69ce0c00852", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=6020061", "externalId" : "6020061", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "PART_TIME", "professionalSkills" : [ "Talent sourcing", "Recruitment initiatives", "Talent pipelines", "Recruitment outcomes" ], "hardSkillsList" : [ "LinkedIn Search" ], "hardSkills" : [ { "name" : "LinkedIn Search", "level" : "intermediate" } ], "majorSkills" : "Talent Acquisition, Recruiting, Sourcing", "majorSkillsList" : [ "Talent Acquisition", "Recruiting", "Sourcing" ], "coreResponsibilities" : "Support recruitment team with events, Support recruitment team with sourcing, Support recruitment team with initiatives, Understand specific requirements for open positions, Actively look for potential candidates, Approach candidates to explore opportunities, Support team with creative strategies, Build talent pipelines, Bring fresh ideas to talent pipeline processes, Provide input to enhance talent pipeline processes, Improve overall recruitment outcomes, Recruit for Business Course event", "teamCollaboration" : "Work closely with recruiters; Work with internal teams", "toolProficiency" : [ "Greenhouse ATS" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Picnic Tech Academy; Lunch & Learn sessions; Tailored soft skills training; Professional language courses", "specialRequirements" : "16-20 hours a week", "qualificationsBasic" : "Currently pursuing studies in Psychology, HRM, Business Administration or similar, Prior internships or working-student experience, Excellent verbal and written communication skills in English", "qualificationsPreferred" : "Prior experience in active sourcing or recruiting, Familiarity with Greenhouse ATS, Dutch, German or French language skills", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell Our Recruitment team plays a crucial role in finding top talent worldwide and persuading them to join Picnic. If you have excellent communication skills, thrive on identifying the right profiles, and know how to get candidates excited about unique challenges, we want to hear from you! Understanding the profiles we seek is key, as finding the right people is vital to our success. As a working student, you get the opportunity to join our Recruitment team - helping with events, sourcing, and recruitment initiatives! We are looking for someone who can support our team for at least 16-20 hours a week (the more the merrier). Tricks of the trade Collaboration: You'll work closely with our recruiters and various internal teams to understand the specific requirements for open positions Sourcing: Using LinkedIn Search and other search techniques, you'll actively look for potential candidates and approach them to explore opportunities at Picnic Strategy: You'll support the team with creative strategies that help build the talent pipelines with unique talent Innovation: You'll bring fresh ideas and provide valuable input to enhance our talent pipeline processes and improve overall recruitment outcomes For example, every year at Picnic we organize a Business Course event for potential Analyst candidates (see video here). In 2026, it could be YOU the one recruiting for it, together with the support of our Analytics Recruitment team. Your superpowers You are currently pursuing studies in Psychology, HRM, Business Administration or similar fields You have prior internships or working-student experience, preferably in active sourcing or recruiting You are ambitious and dare to generate and share cool ideas all the time Excellent verbal and written communication skills in English and preferably also Dutch, German or French You are a team player with strong organizational skills and attention to detail At Picnic, we use Greenhouse as our ATS. It's great if you're familiar with it or if you're curious to learn! Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package You’ll receive a gross hourly wage of €16,75 (all inclusive) along with a laptop and phone to support your work. Travel costs can also be reimbursed, depending on your location.", "summaryDescription" : "Talent Acquisition - Working Student at Picnic. Skills: Talent Acquisition, Recruiting, Sourcing. Support recruitment team with events. Support recruitment team with sourcing", "postedDate" : "2026-06-14T20:08:15.287", "createdAt" : "2026-06-14T20:08:15.287", "lastUpdated" : "2026-06-16T01:58:54.689", "ingestTimestamp" : "2026-06-14T20:08:15.287", "mongoId" : "6a2ca43a74d8ee00a09b0d0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "LinkedIn Search", "Talent Acquisition", "Recruiting", "Sourcing", "Talent sourcing", "Recruitment initiatives", "Talent pipelines", "Recruitment outcomes", "Greenhouse ATS" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306923f292fd229cfc6f89", "title" : "Relief Veterinarian - PRN/As Needed", "company" : "Alliance Animal Health", "industry" : "Veterinary", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Relief Veterinarian in Abilene, United States, adjusted for industry and company size." }, "location" : "Abilene, TX, United States", "locations" : [ "Abilene", "TX", "United States" ], "timestamp" : "2026-06-16T11:13:38.595", "fingerprint" : "7791739c0ccada10624945de6f358b08471f9216b886537f78154eaa9f484ec7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AllianceAnimalHealth/744000132259455-relief-veterinarian-prn-as-needed", "externalId" : "744000132259455", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abilene", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.4464500,-99.7475905" } ], "locationText" : "Abilene, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "DVM or equivalent degree", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "remoteFriendly" : false, "rawDescription" : "Are you the kind of veterinarian who lives and breathes medicine—not just for the love of animals, but for the art, the science, and the purpose behind what we do every day? Alliance Animal Health is seeking a relief veterinarian in the Abilene, TX area. We are seeking a PRN (as-needed) General Practice Veterinarian to provide coverage during peak times, vacations, and schedule gaps. This role is ideal for veterinarians seeking supplemental income, schedule flexibility, or relief-style work. Our facility is designed to support efficient, high-quality medicine, allowing you to focus on patient care while working alongside an experienced and supportive clinical team. Key Responsibilities: * Provide general practice veterinary services to cats and dogs * Perform medical treatments and soft-tissue surgeries as needed * Collaborate with veterinarians, technicians, and support staff to deliver excellent patient outcomes * Communicate effectively with pet owners regarding diagnosis, treatment plans, and follow-up care * Maintain accurate and timely medical records ## Qualifications * DVM or equivalent degree * Valid veterinary license in Texas * Experienced in surgery and comfortable handling a variety of cases is preferred * Strong communication and teamwork skills ## Additional Information WE ARE A DRUG-FREE, SMOKE-FREE, EQUAL OPPORTUNITY EMPLOYER. Company Policy & Federal & State Laws Forbid Discrimination Because of Age, Color, Race, Religion, Sex, Disability, Sexual Orientation or National Origin For additional details including our full equal opportunity statement, texting/outreach communication authorization, physical requirements of the job and more, please visit .", "summaryDescription" : "Relief Veterinarian - PRN/As Needed at Alliance Animal Health", "postedDate" : "2026-06-15T18:08:59.000", "createdAt" : "2026-06-16T00:02:20.002", "lastUpdated" : "2026-06-16T11:13:38.595", "ingestTimestamp" : "2026-06-16T00:02:20.002", "mongoId" : "6a306923f292fd229cfc6f89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055a1f292fd229cf20673", "title" : "Process Mining Data Engineer", "company" : "Celonis", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Process Mining Data Engineer in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:43:15.521", "fingerprint" : "0ead4df6c40d982df6495bf942d727262b5f232041ba26c4754a39ebb7813676", "source" : "workday", "language" : "en", "applyUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Poland---Krakow/Process-Mining-Data-Engineer_J-019770", "externalId" : "J-019770", "industryFunction" : { }, "locationPoint" : "51.9194,19.1451", "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Celonis EPM, Object-Centric Process Mining, PQL", "professionalSkills" : [ "Process mining development", "Data modeling", "Data extraction", "Data transformation", "Data validation", "Data analysis" ], "hardSkillsList" : [ "Process mining", "Data analytics" ], "hardSkills" : [ { "name" : "Process mining", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Celonis Process Mining, SQL, Data modeling", "majorSkillsList" : [ "Celonis Process Mining", "SQL", "Data modeling" ], "coreResponsibilities" : "Execute process mining development and engineering activities, Translate business requirements into Celonis solutions, Build and maintain end-to-end process data models, Enable new process data sets, Enhance or update existing data sources, Extract, transform, validate, and analyze data, Support data quality checks, Ensure consistency of process logic, Collaborate with business and functional stakeholders, Clarify requirements, Validate assumptions, Refine solutions, Apply Celonis best practices, Contribute to technical documentation, Develop reusable components, Improve platform continuously, Stay up to date with Celonis capabilities, Explore automation opportunities, Explore execution use cases, Explore AI-enabled insights, Explore Copilot-supported capabilities", "teamCollaboration" : "Global business teams; Functional teams; Global process mining lead; Supply Chain; Order-to-Cash; Procure-to-Pay", "domainKnowledge" : "Process mining; Enterprise Process Mining; SAP tables", "domainList" : [ "process-mining", "enterprise-process-mining", "sap-tables" ], "domainSpecificKnowledge" : [ "Process mining", "Enterprise Process Mining", "SAP tables" ], "toolProficiency" : [ "Celonis EPM", "SAP" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Staying up to date with Celonis capabilities and emerging features", "innovationCreativity" : "Automation; Execution use cases; AI-enabled insights; Copilot-supported capabilities", "problemSolvingSkills" : "Analytical mindset", "outcomesObjectives" : "Enable end-to-end process transparency; Standardize insights; Enable execution-oriented use cases", "qualificationsBasic" : "Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics, Hands-on experience with Celonis Process Mining, including Object-Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts, SQL skills with practical experience in data extraction, transformation, validation, and analysis, Fluent English", "qualificationsPreferred" : "Experience working with SAP, including exposure to SAP tables is a plus, Experience in automation, AI-enabled analytics, or Copilot-supported solution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** : **_Role Overview:_ ** The **Process Mining Data Engineer** will be responsible for building and maintaining scalable process mining solutions within the **Celonis Enterprise Process Mining (EPM)** environment. This role supports the expansion of process mining capabilities across the organization by enabling end‑to‑end process transparency, standardized insights, and execution‑oriented use cases. Working under the direction of the **Global Process Mining Lead** , the role translates pre‑approved, prioritized business requirements into robust and high‑quality Celonis assets. Collaboration with global business and functional teams is key to ensure solutions are reliable, performant, and aligned to enterprise standards. **Do you think you’re the right fit for this opportunity? Apply today!** ** _Role Responsibilities:_ ** **As a ****Process Mining Data Engineer****, you will be responsible for:** * Executing process mining development and engineering activities under the direction of the **Global Process Mining Lead** * Translating approved business requirements into scalable Celonis solutions, including applications, analyses, dashboards, alerts, action and approval flows, email automations, and write‑backs * Building and maintaining end‑to‑end process data models within Celonis EPM * Enabling new process data sets and enhancing or updating existing data sources already loaded into Celonis * Using SQL to extract, transform, validate, and analyze data from source systems * Supporting data quality checks and ensuring consistency of process logic across use cases * Collaborating closely with business and functional stakeholders (e.g. Supply Chain, Order‑to‑Cash, Procure‑to‑Pay) to clarify requirements, validate assumptions, and refine solutions * Applying Celonis best practices and enterprise standards * Contributing to technical documentation, reusable components, and continuous platform improvements * Staying up to date with Celonis capabilities and emerging features * Exploring opportunities related to automation, execution use cases, AI‑enabled insights, and Copilot‑supported capabilities (optional / emerging) ** _Experience and Competencies:_ ** **What we are looking for:** * Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics * Hands‑on experience with Celonis Process Mining, including Object‑Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts * Strong SQL skills with practical experience in data extraction, transformation, validation, and analysis * Fluent English with the ability to work effectively in a global, multicultural environment * Strong analytical mindset with high attention to detail * Experience working with SAP, including exposure to SAP tables is a strong plus * Experience in automation, AI‑enabled analytics, or Copilot‑supported solution **What next?** If you would like to join an innovative, collaborative and multicultural team, please apply now. Your application will be forwarded to a Talent Acquisition Partner, who will strive to get back to you as soon as they can. We understand that applying for a new job is a big decision and we will work hard to keep you updated and support you along the way. ** _About Us:_ ** At Huntsman, we pride ourselves on being a people-oriented organization. Our family-like atmosphere is cultivated by our diverse groups of team members around the world. We welcome the talent, experience and fresh ideas that employees at all stages of their careers, from interns to seasoned professionals, bring to Huntsman. In return, we offer you the opportunity to become an integral part of a dynamic, industry-leading company, where safety and ethics always come first. **Additional Locations:**", "summaryDescription" : "Process Mining Data Engineer at Celonis. Skills: Celonis Process Mining, SQL, Data modeling. Execute process mining development and engineering activities. 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Exceptional experience. Trucordia is a company built on wildly successful businesses in our communities across the country, and now we’ve come together to create the next great insurance brokerage. We offer an unrivaled combination of people, tools and solutions, and deliver exceptional experiences and unrivaled opportunities for our employees, clients and stakeholders. Ranked as one of the fastest-growing companies in the U.S. for three consecutive years, we have more than 5,000 team members across 200 offices across the country, who actively, genuinely care about our clients, each other and the quality of our work, and in every interaction, represent a company that people want to work for and do business with. Redd Summit Advisors is a office within the Trucordia Agricultural Platform in which you are applying to work with. Trucordia Values 1. We actively, genuinely CARE about our clients, each other and the quality of our work, and in every interaction, represent a company that people want to work for and do business with. 2. We COLLABORATE continuously because, together, we are more powerful and make amazing things happen for our clients and company. 3. We LEAD with intelligence, hunger, curiosity, energy and a future-focused attitude of “what’s next”? 4. We are RESULT-ORIENTED , growth-focused and driven to out-perform expectations of what an insurance brokerage can achieve. 5. We CELEBRATE both individual successes and collective accomplishments, making sure the industry recognizes the remarkable company we’re building together, as well as the impact we’re having on our clients and communities. Temporary to Permanent Position: Start date would ASAP. The Office Admin/Processing Specialist is a versatile and proactive individual who is willing to take on a wide range of responsibilities. Initially, this position will provide coverage for two employees who will be on maternity leave through the end of October. During this time, the successful candidate will assume and manage their key responsibilities. Following the maternity leave coverage period, the role will to be responsible for keying our insurance policies into the systems of our insurance providers. This position requires candidates to pay close attention to detail to ensure all policies are keyed correctly and efficiently. Candidates must have strong computer skills and be able to work quickly and accurately. Office Admin Responsibilities Include: * Calendar Scheduling for the Platform Leader * Marketing/Agent Support: * Maintain inventory and execute orders for our internal company store. * Employee & Office Engagement & Upkeep: * Maintain office supply inventory and restock as needed. * Restock office snacks and ensure Tuesday Team lunches are smoothly executed. * Ensure common areas are kept clean and organized. * Daily pick-up and drop-off office mail. * Boost office morale and help celebrate employee birthdays and special occasions. Processing Specialist Responsibilities Include: * Working with the underwriter coordinator and account managers to ensure any issues with a policy are resolved in a quick & efficient manner * Successful candidates must demonstrate accuracy and thoroughness * Monitors own projects to ensure quality is met * Must be able to work independently, prioritize work activities and use time efficiently ## Qualifications Requirements Include: * High school or equivalent * Friendly, approachable, and team-oriented attitude. * Excellent proofreading skills * Strong organizational skills with attention to detail. * Strong computer skills * Good oral and written communication skills * Must be able to type 50+ wpm * Must be able to work well under pressure ## Additional Information This position offers flexible hours and scheduling. The team environment is welcoming and positive to be a part of. Trucordia is an equal opportunity employer. We believe that every employee has the right to work in an environment that is free from all forms of discrimination. It is our policy that all decisions involving any aspect of the employment relationship such as hiring, compensation and training, promotions, transfers, discipline, and termination will be based on merit, qualifications, and abilities. Such decisions will be made without regard to age, ancestry, color, race, national origin, disability, protected medical condition, genetic information, military service, veteran status, citizenship status, religion, creed, sex, gender, gender identity, sexual orientation, pregnancy, childbirth, marital status, or any other condition, characteristic or activity protected by law. Discrimination based on any of these factors is contrary to our operating philosophy. Attention Recruitment Agencies: Trucordia does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered property of Trucordia, and we will not be obligated to pay a referral fee. This includes resumes submitted directly to hiring managers without contacting Trucordia's Talent Acquisition Department.", "summaryDescription" : "Office Admin/ Processing Specialist at Trucordia. Process incoming and outgoing mail. Sort and distribute mail", "postedDate" : "2026-06-15T19:38:06.000", "createdAt" : "2026-06-16T01:42:10.523", "lastUpdated" : "2026-06-16T12:59:29.895", "ingestTimestamp" : "2026-06-16T01:42:10.523", "mongoId" : "6a3082bbf292fd229c06e8b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066cbf292fd229cfb5ccc", "title" : "Veterinary Sterile Processing Technician", "company" : "Friendship Hospital for Animals", "salary" : { "min" : 52000.0, "max" : 72800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-16T08:59:15.603", "fingerprint" : "fe858dba41f1eaf91e52038759f8d8108bcaa5ed8cd5b02bceaeba34ce1e0fdd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/evgspecialtynetwork/jobs/5262610008", "externalId" : "5262610008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 2, "remoteFriendly" : false, "rawDescription" : "Friendship Hospital for Animals, a leading AAHA- accredited hospital located in Washington D. C. is seeking a veterinary sterile processing technician to support our thriving surgical service. If you have compassion for pets and wish to be a part of an incredible team of veterinary professionals – we’d love to meet you! About the role: The Veterinary Sterile Processing Technician plays a vital role in supporting surgical services by ensuring all instruments, equipment, and supplies are properly cleaned, sterilized, and maintained. This position is responsible for decontaminating, assembling, wrapping, and sterilizing surgical instruments, monitoring sterilization processes, maintaining sterilization equipment, and managing sterile supply inventory. The technician follows strict infection control, safety, and regulatory protocols to maintain a safe, organized, and sterile environment for veterinary surgical procedures. Schedule: Four 10-hour shifts M- F. This is a full-time position. What's in it for you? Excellent compensation Medical, Dental, Vision, HAS/FSA Generous PTO and CE allowance Life insurance and 401k with a company match Metro discounts with easy access to public transportation Access to advanced tools (MRI, CT, ventilator, ICU, dialysis) A welcoming, inclusive culture that values learning, kindness, and teamwork Pet care discounts and so much more! Qualifications 1-2 years experience in sterile processing required Certification (CRCST) from the HSPA or equivalent organization Understands the importance and practice of sterility, good hygiene, and proper workflows. Ability to master detailed information including instruments and protocols. We're exclusively seeking veterinary professionals who embrace a nurturing, cooperative, and ethical environment, where genuine individuals come together to share knowledge, uplift one another, grow, and do their best work – while having fun along the way. Friendship Hospital for Animals is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Ready to join the team? 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These positions support the RF picking and RF packing of all outbound orders at the DC. The primary focus of the Order Processing Associate is to move product accurately and efficiently throughout the DC. Associates will be operating powered equipment such as order pickers, pallet riders and reach trucks depending on the needs of the Operation. Associates will work in multiple areas as assigned and support areas based on business volume and team performance. Associates will model KEEN values and act in accordance with KEEN’s mission. Key Responsibilities: Operates power equipment to support inbound putaway, replenishment, and pick process using powered equipment for the majority of scheduled shift. Prepares orders for shipment, by picking, sorting, and packing product accurately and timely. Works in multiple departments; requiring different task actions, lifting requirements, and technology tools such as RF scanning equipment. Identifies and reports problems and supports solutions to maintain excellent service and quality. Supports DC operations through building wide housekeeping maintenance including cardboard and waste removal. Builds rapport with other departments to ensure correct order flow, service levels and quality levels are maintained. Effectively and safely operates various types of powered material handling equipment to complete assigned tasks. Moves to work within the DC as assigned. Contributes to a positive work environment in a manner that is consistent with KEEN values and expectations; with the bottom line expectation of providing outstanding service to KEEN retail partners and fans. Shows respect for the KEEN brand and teammates On time and reliable; meets or exceeds attendance requirements. Physical/Mental Requirements: The ability to frequently lift and shift boxes weighing an average of 30 to 40 pounds with a maximum of 65 pounds throughout a full shift of work The ability to work in a standing or walking environment for 8-10 hour shifts The ability to cross train in other departments The ability to comprehend and apply Standard Operating Procedures (SOP’s). Minimum Qualifications: Preferred 2+ years’ experience operating powered equipment. Complete onsite training and certification on order picker, reach truck, sit down, and electric pallet jack. High school diploma or equivalent Must be at least 18 years old Willing and able to work extended shifts extra days as needed May be required to work overtime Must be able to read and take direction in English Successful completion of 60-day training program Benefits: Subsidized On-site Vending Free Shoe Program KEEN Employee & Family Discount Program 401k retirement savings program with company match Medical, Dental, and Vision benefits Outdoor Industry discounts Why Work at KEEN: Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that’s on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal, and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protect the places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place. Learn more about what we’re doing for a better planet here. At KEEN, we believe in a more just and equitable future for all people. As a global brand, we acknowledge that our business, buildings, and daily lives exist within the traditional territories of indigenous peoples. We strive for a future that recognizes the knowledge, rights, and resilience of these peoples. KEEN is an equal opportunity employer. We value an inclusive and diverse community. 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C. is seeking a veterinary sterile processing technician to support our thriving surgical service. If you have compassion for pets and wish to be a part of an incredible team of veterinary professionals – we’d love to meet you! About the role: The Veterinary Sterile Processing Technician plays a vital role in supporting surgical services by ensuring all instruments, equipment, and supplies are properly cleaned, sterilized, and maintained. This position is responsible for decontaminating, assembling, wrapping, and sterilizing surgical instruments, monitoring sterilization processes, maintaining sterilization equipment, and managing sterile supply inventory. The technician follows strict infection control, safety, and regulatory protocols to maintain a safe, organized, and sterile environment for veterinary surgical procedures. Schedule: Four 10-hour shifts M- F. This is a full-time position. What's in it for you? Excellent compensation Medical, Dental, Vision, HAS/FSA Generous PTO and CE allowance Life insurance and 401k with a company match Metro discounts with easy access to public transportation Access to advanced tools (MRI, CT, ventilator, ICU, dialysis) A welcoming, inclusive culture that values learning, kindness, and teamwork Pet care discounts and so much more! Qualifications 1-2 years experience in sterile processing required Certification (CRCST) from the HSPA or equivalent organization Understands the importance and practice of sterility, good hygiene, and proper workflows. Ability to master detailed information including instruments and protocols. We're exclusively seeking veterinary professionals who embrace a nurturing, cooperative, and ethical environment, where genuine individuals come together to share knowledge, uplift one another, grow, and do their best work – while having fun along the way. Friendship Hospital for Animals is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Ready to join the team? 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These positions support the RF picking and RF packing of all outbound orders at the DC. The primary focus of the Order Processing Associate is to move product accurately and efficiently throughout the DC. Associates will be operating powered equipment such as order pickers, pallet riders and reach trucks depending on the needs of the Operation. Associates will work in multiple areas as assigned and support areas based on business volume and team performance. Associates will model KEEN values and act in accordance with KEEN’s mission. Key Responsibilities: Operates power equipment to support inbound putaway, replenishment, and pick process using powered equipment for the majority of scheduled shift. Prepares orders for shipment, by picking, sorting, and packing product accurately and timely. Works in multiple departments; requiring different task actions, lifting requirements, and technology tools such as RF scanning equipment. Identifies and reports problems and supports solutions to maintain excellent service and quality. Supports DC operations through building wide housekeeping maintenance including cardboard and waste removal. Builds rapport with other departments to ensure correct order flow, service levels and quality levels are maintained. Effectively and safely operates various types of powered material handling equipment to complete assigned tasks. Moves to work within the DC as assigned. Contributes to a positive work environment in a manner that is consistent with KEEN values and expectations; with the bottom line expectation of providing outstanding service to KEEN retail partners and fans. Shows respect for the KEEN brand and teammates On time and reliable; meets or exceeds attendance requirements. Physical/Mental Requirements: The ability to frequently lift and shift boxes weighing an average of 30 to 40 pounds with a maximum of 65 pounds throughout a full shift of work The ability to work in a standing or walking environment for 8-10 hour shifts The ability to cross train in other departments The ability to comprehend and apply Standard Operating Procedures (SOP’s). Minimum Qualifications: Preferred 2+ years’ experience operating powered equipment. Complete onsite training and certification on order picker, reach truck, sit down, and electric pallet jack. High school diploma or equivalent Must be at least 18 years old Willing and able to work extended shifts extra days as needed May be required to work overtime Must be able to read and take direction in English Successful completion of 60-day training program Benefits: Subsidized On-site Vending Free Shoe Program KEEN Employee & Family Discount Program 401k retirement savings program with company match Medical, Dental, and Vision benefits Outdoor Industry discounts Why Work at KEEN: Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that’s on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal, and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protect the places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place. Learn more about what we’re doing for a better planet here. At KEEN, we believe in a more just and equitable future for all people. As a global brand, we acknowledge that our business, buildings, and daily lives exist within the traditional territories of indigenous peoples. 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TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "CST certification", "CRCST certification", "CIS certification" ], "timestamp" : "2026-06-16T02:19:17.271", "fingerprint" : "f1e94e5f2583a62b6c9c7a0aa6fa6db938e5f103b5a44851d5cdd99e37501f23", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=678811", "externalId" : "678811", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Decontamination", "Assembly", "Inspection", "Wrapping", "Sterilization" ], "hardSkills" : [ { "name" : "Decontamination", "level" : "intermediate" }, { "name" : "Assembly", "level" : "intermediate" }, { "name" : "Inspection", "level" : "intermediate" }, { "name" : "Wrapping", "level" : "intermediate" }, { "name" : "Sterilization", "level" : "intermediate" } ], "majorSkills" : "Sterile Processing, Instrument sterilization, Medical equipment sterilization", "majorSkillsList" : [ "Sterile Processing", "Instrument sterilization", "Medical equipment sterilization" ], "coreResponsibilities" : "Maintain high standards for decontamination, Maintain high standards for assembly, Maintain high standards for inspecting, Maintain high standards for wrapping, Maintain high standards for sterilization of surgical instruments, Maintain high standards for sterilization of medical equipment, Provide timely sterile products, Provide timely trays, Provide timely case carts, Maintain consistency and continuous product flow, Practice above average customer service, Coordinate work assignments, Serve as a resource person, Identify situations requiring intervention, Report situations requiring intervention, Serve as a clinical preceptor, Serve as a resource person in all Sterile, Perform job duties in accordance with mission, vision", "teamCollaboration" : "Working with the customer; Between the OR and Sterile Processing", "domainKnowledge" : "Surgical instruments; Medical equipment; Sterile Processing", "domainList" : [ "surgical-instruments", "medical-equipment", "sterile-processing" ], "domainSpecificKnowledge" : [ "Surgical instruments", "Medical equipment", "Sterile Processing" ], "communicationSkills" : "Speak English", "qualificationsBasic" : "High school diploma or G. E. D, Graduate of Surgical Technologist program or Sterile Processing training program, Maintain a CST certification, Maintain both CRCST certification and CIS certification, Basic computer knowledge required, Able to read, write, and speak English", "qualificationsPreferred" : "Non-graduates of a Surgical Technologist program must have and maintain both CRCST (Certified Registered Central Service Technician) certification and CIS (Certified Instrument Specialist) certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Summary Under general supervision of Sterile Processing Supervisor and in accordance with established policies, procedures and standards The Surgical Sterile Processing Specialist 2 is responsible for maintaining high standards for decontamination, assembly, inspecting, wrapping, and sterilization of surgical instruments and medical equipment for Surgical Services and Ancillary Departments. This includes working in conjunction with the customer to provide timely sterile products, trays, and case carts where applicable. Maintains consistency and continuous product flow between the OR and Sterile Processing while practicing above average customer service. Makes departmental decisions in the absence of a supervisor or manager by coordinating the work assignments, and serving as a resource person while performing duties. Identifies and reports situations requiring intervention to Supervisor or Manager. Serves as a clinical preceptor for new staff and OR/SPD technician students and serves as a resource person in all Sterile Processing specialty areas. Responsible for performing jobduties in accordance with mission, vision and values of Tampa General Hospital. QUALIFICATIONS High school diploma or G.E.D. required. Graduate of Surgical Technologist program or Sterile Processing training program and must have and maintain a CST certification. Non- graduates of a Surgical Technologist program must have and maintain both CRCST (Certified Registered Central Service Technician) certification and CIS (Certified Instrument Specialist) certification. Approved certifications are through AST, NCCT, IAHCSMM or the Certification Board for Sterile Processing and Distribution (CSBPD). Basic computer knowledge required. Must be able to read, write, and speak English. Tampa", "summaryDescription" : "Surgical Sterile Processing Specialist 2 - Sterile Processing at Tampa General Hospital. Skills: Sterile Processing, Instrument sterilization, Medical equipment sterilization. Maintain high standards for decontamination. Maintain high standards for assembly", "createdAt" : "2026-06-14T20:43:12.046", "lastUpdated" : "2026-06-16T02:19:17.271", "ingestTimestamp" : "2026-06-14T20:43:12.046", "mongoId" : "6a0de91358b93c861eb990c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 68000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Decontamination", "Assembly", "Inspection", "Wrapping", "Sterilization", "Sterile Processing", "Instrument sterilization", "Medical equipment sterilization", "Surgical instruments", "Medical equipment", "CST certification", "CRCST certification", "CIS certification" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f23f292fd229c0558e2", "title" : "Product Manager Lead, Google Distributed Cloud, Hardware", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Product Manager in the Technology industry in Sunnyvale, United States, adjusted for Google's size and the specific role." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T11:44:19.598", "fingerprint" : "1f582185e13b012b1fe77f6032ddd8d5e18087400e8bfb1230ea284a43792d4a", "source" : "google", "language" : "en", "externalId" : "115236880298975942", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Hardware, Distributed systems, Cloud infrastructure", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories" ], "hardSkillsList" : [ "Product lifecycle management", "Market analysis", "Competitive analysis" ], "hardSkills" : [ { "name" : "Product lifecycle management", "level" : "intermediate" }, { "name" : "Market analysis", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Hardware development, Distributed systems", "majorSkillsList" : [ "Product strategy", "Hardware development", "Distributed systems" ], "coreResponsibilities" : "Define product strategy, Develop product roadmaps, Write user stories, Collaborate with engineering teams, Collaborate with marketing teams, Collaborate with sales teams, Launch new products, Manage product lifecycle", "teamCollaboration" : "Cross-functional teams; Engineering; Marketing; Sales", "projectManagementSkills" : [ "Agile methodologies", "Roadmap planning" ], "domainKnowledge" : "Google Distributed Cloud; Hardware product development; Distributed systems; Cloud infrastructure", "domainList" : [ "google-distributed-cloud", "hardware-product-development", "distributed-systems", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Google Distributed Cloud", "Hardware product development", "Distributed systems", "Cloud infrastructure" ], "toolProficiency" : [ "JIRA", "Confluence" ], "communicationSkills" : "Product presentations; Technical documentation", "documentationSkills" : "Product requirement documents; User stories", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Deliver successful hardware products; Achieve product-market fit; Drive product adoption", "qualificationsBasic" : "5+ years of product management experience, Experience with hardware product development, Experience with distributed systems", "qualificationsPreferred" : "Experience with Google Distributed Cloud, Experience with cloud infrastructure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Manager Lead, Google Distributed Cloud, Hardware at Google. Skills: Product strategy, Hardware development, Distributed systems. Define product strategy. Develop product roadmaps", "postedDate" : "2026-06-16T01:52:14.489", "createdAt" : "2026-06-16T01:52:14.489", "lastUpdated" : "2026-06-16T11:44:19.598", "ingestTimestamp" : "2026-06-16T01:52:14.489", "mongoId" : "6a307f23f292fd229c0558e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Product lifecycle management", "Market analysis", "Competitive analysis", "Product strategy", "Hardware development", "Distributed systems", "Roadmap development", "User stories", "Agile methodologies", "Roadmap planning", "Google Distributed Cloud", "Hardware product development", "Cloud infrastructure", "JIRA", "Confluence" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308ea2f292fd229c0a4698", "title" : "Central Processing Tech III", "company" : "Munson Healthcare", "industry" : "Hospital And Health Care", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Central Processing Tech III in Cadillac, United States, adjusted for mid-seniority and the healthcare industry." }, "location" : "Cadillac, Michigan, United States", "locations" : [ "Cadillac", "Michigan", "United States" ], "timestamp" : "2026-06-16T12:42:09.425", "fingerprint" : "278da243907774fcef96c3c4b7b750f007aa46166a4059207ad2e60a2b2555ae", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MunsonHealthcare1/3743990013619156-central-processing-tech-iii-full-time-12-00pm-8-30pm-cadillac-mi", "externalId" : "3743990013619156", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cadillac", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.2519526,-85.4011619" } ], "locationText" : "Cadillac, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Clean medical instruments, Sterilize medical instruments, Assemble medical instruments, Process medical instruments, Distribute medical instruments, Maintain sterilization standards, Organize instruments, Store instruments, Collaborate with operating room staff, Collaborate with hospital floors, Collaborate with outside departments, Identify issues with instruments, Implement new initiatives", "teamCollaboration" : "Operating room staff; Hospital floors; Outside departments", "domainKnowledge" : "Sterile processing; Infection prevention; Patient safety", "domainList" : [ "sterile-processing", "infection-prevention", "patient-safety" ], "domainSpecificKnowledge" : [ "Sterile processing", "Infection prevention", "Patient safety" ], "continuousLearning" : "Ongoing educational opportunities", "specialRequirements" : "Vaccinated for Measles, Mumps, Rubella and Varicella, Flu vaccine annually, Work 12:00PM - 8:30PM", "qualificationsBasic" : "High school graduate or GED, Successful completion of 180-day introductory period in Central Processing, Meets all requirements of CPD Tech II", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As northern Michigan's largest healthcare system, we are deeply connected to the communities we serve and committed to caring for our families, friends and neighbors. When you join Munson Healthcare, you’ll find a supportive work environment that is focused on continuously improving. This is a place where you can learn and grow, and your career can flex with your life. And when you step out of work, you'll find things to do in every season--from freshwater beaches and outdoor recreation to unique restaurants and world-class wineries. Are you ready to improve your life and join the team that improves lives in our communities every day? Start your career at Munson Healthcare! * [Be part of a team](https://www.youtube.com/watch?v=bf4PW4_rxuM) that nurtures a culture of caring every day. * Our dynamic work environment includes many opportunities for growth and development. Munson Healthcare: * Balance – Get out on the water, in the woods, on the trails or around town * Opportunity – Be a part of northern Michigan’s leading healthcare team with opportunities for personal and professional growth throughout the healthcare system * Flexibility – A career that can change as your life changes * Teamwork – Our people make Munson Healthcare a great place to work! What You'll Be Doing - As a Central Processing Technician, you'll be the unsung hero keeping our operating rooms and hospital floors running smoothly! * Master the Art of Clean - Get hands-on with cleaning and sterilizing medical instruments—think of yourself as a precision artist ensuring every tool is spotless and ready for action * Process Like a Pro - Handle the assembly, processing, and distribution of medical instruments with the attention to detail that would make a surgeon proud * Infection Prevention Champion - Play a crucial role in keeping patients safe by maintaining the highest sterilization standards—you're literally a guardian of patient safety! * Storage Strategist - Organize and store instruments so efficiently that finding what you need is a breeze * Team Player Extraordinaire - Collaborate with operating room staff, hospital floors, and outside departments to keep everyone equipped and ready to go * Quality Control Guru - Catch any issues before they become problems—your eagle eye for detail keeps our standards sky-high * Adapt and Thrive - Embrace our fast-paced, ever-changing environment and help us implement new initiatives that keep our department evolving If you're patient, detail-oriented, love hands-on work, and can take direction like a champ, this is your chance to shine! Unlock Your Potential: Advance Your Career to Tech II or III ## Qualifications * High school graduate or GED * Successful completion of 180-day introductory period in Central Processing required. * Meets all requirements of CPD Tech II ## Additional Information What are the duties and responsibilities of a Sterile Processing Technician? A Sterile Processing Technician will have many duties throughout the day, such as retrieving and processing used instruments, processing instruments with various chemicals to sterilize the instruments for future use and ensuring the organization has an adequate inventory of instruments as needed. What makes a good Sterile Processing Technician? A good Sterile Processing Technician must have excellent organizational skills since they are required to oversee the sterilization of instruments across different departments. They must also have good communication skills to provide updates to Surgeons and other medical professionals throughout the day. Who does a Sterile Processing Technician work with? A Sterile Processing Technician typically works alone when they sterilize instruments in the Central Processing Department (CPD), but they may work with Surgical Technicians to ensure instruments are set properly in operating rooms upcoming operations. The Benefits of Working at Munson: * On-the-job training * Competitive salaries * Full benefits, paid holidays, and paid time off (up to 19 days your first year) * Tuition reimbursement and ongoing educational opportunities * Retirement savings plan with employer match and personal consulting * Wellness plans, an employee assistance program and employee discounts *Terms and conditions apply Munson Healthcare requires all employees be vaccinated or have lab confirmed immunity for Measles, Mumps, Rubella and Varicella. MHC also requires all employees to receive a flu vaccine during the flu season in the year that they are hired and annually thereafter, or receive an approved medical or religious exemption.", "summaryDescription" : "Central Processing Tech III at Munson Healthcare. Clean medical instruments. Sterilize medical instruments", "postedDate" : "2026-06-15T14:32:58.000", "createdAt" : "2026-06-16T03:34:04.149", "lastUpdated" : "2026-06-16T12:42:09.425", "ingestTimestamp" : "2026-06-16T03:34:04.149", "mongoId" : "6a308ea2f292fd229c0a4698", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sterile processing", "Infection prevention", "Patient safety" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30505cf292fd229ceef764", "title" : "Central Processing Tech III", "company" : "Munson Healthcare", "industry" : "Hospital And Health Care", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Central Processing Tech III in Cadillac, United States, adjusted for mid-seniority and the healthcare industry." }, "location" : "Cadillac, Michigan, United States", "locations" : [ "Cadillac", "Michigan", "United States" ], "timestamp" : "2026-06-16T05:10:33.405", "fingerprint" : "b12d25c5725d1b4116cce4571eb0e79a93a3049b72f357af4eff5c7143d381b7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MunsonHealthcare1/3743990013619156-central-processing-tech-iii-full-time-12-00pm-8-30pm-cadillac-mi", "externalId" : "3743990013619156", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cadillac", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.2519526,-85.4011619" } ], "locationText" : "Cadillac, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Clean medical instruments, Sterilize medical instruments, Assemble medical instruments, Process medical instruments, Distribute medical instruments, Maintain sterilization standards, Organize instruments, Store instruments, Collaborate with operating room staff, Collaborate with hospital floors, Collaborate with outside departments, Identify issues with instruments, Implement new initiatives", "teamCollaboration" : "Operating room staff; Hospital floors; Outside departments", "domainKnowledge" : "Sterile processing; Infection prevention; Patient safety", "domainList" : [ "sterile-processing", "infection-prevention", "patient-safety" ], "domainSpecificKnowledge" : [ "Sterile processing", "Infection prevention", "Patient safety" ], "continuousLearning" : "Ongoing educational opportunities", "specialRequirements" : "Vaccinated for Measles, Mumps, Rubella and Varicella, Flu vaccine annually, 12:00 PM - 8:30 PM shift", "qualificationsBasic" : "High school graduate or GED, Successful completion of 180-day introductory period in Central Processing, Meets all requirements of CPD Tech II", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As northern Michigan's largest healthcare system, we are deeply connected to the communities we serve and committed to caring for our families, friends and neighbors. When you join Munson Healthcare, you’ll find a supportive work environment that is focused on continuously improving. This is a place where you can learn and grow, and your career can flex with your life. And when you step out of work, you'll find things to do in every season--from freshwater beaches and outdoor recreation to unique restaurants and world-class wineries. Are you ready to improve your life and join the team that improves lives in our communities every day? Start your career at Munson Healthcare! * [Be part of a team](https://www.youtube.com/watch?v=bf4PW4_rxuM) that nurtures a culture of caring every day. * Our dynamic work environment includes many opportunities for growth and development. Munson Healthcare: * Balance – Get out on the water, in the woods, on the trails or around town * Opportunity – Be a part of northern Michigan’s leading healthcare team with opportunities for personal and professional growth throughout the healthcare system * Flexibility – A career that can change as your life changes * Teamwork – Our people make Munson Healthcare a great place to work! What You'll Be Doing - As a Central Processing Technician, you'll be the unsung hero keeping our operating rooms and hospital floors running smoothly! * Master the Art of Clean - Get hands-on with cleaning and sterilizing medical instruments—think of yourself as a precision artist ensuring every tool is spotless and ready for action * Process Like a Pro - Handle the assembly, processing, and distribution of medical instruments with the attention to detail that would make a surgeon proud * Infection Prevention Champion - Play a crucial role in keeping patients safe by maintaining the highest sterilization standards—you're literally a guardian of patient safety! * Storage Strategist - Organize and store instruments so efficiently that finding what you need is a breeze * Team Player Extraordinaire - Collaborate with operating room staff, hospital floors, and outside departments to keep everyone equipped and ready to go * Quality Control Guru - Catch any issues before they become problems—your eagle eye for detail keeps our standards sky-high * Adapt and Thrive - Embrace our fast-paced, ever-changing environment and help us implement new initiatives that keep our department evolving If you're patient, detail-oriented, love hands-on work, and can take direction like a champ, this is your chance to shine! Unlock Your Potential: Advance Your Career to Tech II or III ## Qualifications * High school graduate or GED * Successful completion of 180-day introductory period in Central Processing required. * Meets all requirements of CPD Tech II ## Additional Information What are the duties and responsibilities of a Sterile Processing Technician? A Sterile Processing Technician will have many duties throughout the day, such as retrieving and processing used instruments, processing instruments with various chemicals to sterilize the instruments for future use and ensuring the organization has an adequate inventory of instruments as needed. What makes a good Sterile Processing Technician? A good Sterile Processing Technician must have excellent organizational skills since they are required to oversee the sterilization of instruments across different departments. They must also have good communication skills to provide updates to Surgeons and other medical professionals throughout the day. Who does a Sterile Processing Technician work with? A Sterile Processing Technician typically works alone when they sterilize instruments in the Central Processing Department (CPD), but they may work with Surgical Technicians to ensure instruments are set properly in operating rooms upcoming operations. The Benefits of Working at Munson: * On-the-job training * Competitive salaries * Full benefits, paid holidays, and paid time off (up to 19 days your first year) * Tuition reimbursement and ongoing educational opportunities * Retirement savings plan with employer match and personal consulting * Wellness plans, an employee assistance program and employee discounts *Terms and conditions apply Munson Healthcare requires all employees be vaccinated or have lab confirmed immunity for Measles, Mumps, Rubella and Varicella. MHC also requires all employees to receive a flu vaccine during the flu season in the year that they are hired and annually thereafter, or receive an approved medical or religious exemption.", "summaryDescription" : "Central Processing Tech III at Munson Healthcare. Clean medical instruments. Sterilize medical instruments", "postedDate" : "2026-06-15T14:32:58.000", "createdAt" : "2026-06-15T21:35:13.121", "lastUpdated" : "2026-06-16T05:10:33.405", "ingestTimestamp" : "2026-06-15T21:35:13.121", "mongoId" : "6a30505cf292fd229ceef764", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sterile processing", "Infection prevention", "Patient safety" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d465274d8ee00a0b4e6eb", "title" : "Working Student, Onboarding Specialist", "company" : "Planet", "industry" : "SaaS", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Working Student in the Technology industry in Berlin, Germany, adjusted for part-time employment." }, "location" : "Berlin Office", "locations" : [ "Berlin Office" ], "timestamp" : "2026-06-16T01:58:30.625", "fingerprint" : "465a0ca62e59e834b23588ee2b1e4297cbf0b8dfadde9e5fc58a2899bb095db5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/planetlabs/jobs/7992931", "externalId" : "7992931", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "coreResponsibilities" : "Manage customer relationships, Drive customer retention, Ensure customer satisfaction, Facilitate customer value realization", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is looking for an Onboarding Specialist Working Student to support onboarding programs that help customers successfully adopt and use Planet data, platforms, and workflows. In this role, you will support customer onboarding activities, assist with training sessions and communications, and help maintain resources that enable customers to quickly realize value from Planet products. You will work closely with the Onboarding Specialist, as well as Customer Success, Support, Education, and Solutions teams to support onboarding delivery across customer segments. This role combines customer-facing coordination with operational support and content maintenance to help ensure a smooth and consistent onboarding experience. This role sits within the Planet Education & Enablement team. This is a part-time, hybrid role which will require you to work from our Berlin office 2 days per week. Impact You’ll Own: Support customer onboarding activities, including scheduling, communications, and onboarding follow-ups Assist with the delivery of onboarding sessions and customer training programs for Planet products, platforms, and workflows Partner with Sales, Technical Support, Customer Success, and Solutions teams to help ensure smooth onboarding experiences for new customers Maintain and update onboarding resources, guides, and customer-facing materials across onboarding and education platforms Support onboarding communications and campaigns to encourage customer engagement and adoption Track onboarding feedback, common customer questions, and support trends to help identify opportunities for content and process improvements Help maintain consistent onboarding workflows and processes across customer engagements Assist with operational coordination for global onboarding activities across customer time zones What You Bring: Currently enrolled in a Bachelor’s or Master’s degree program in a relevant field Solid communication skills with the ability to explain complex concepts clearly to both technical and non-technical audiences Interest in customer onboarding, customer education, technical enablement, or customer success Familiarity with APIs, developer tools, or technical products Ability to learn new technical products and workflows quickly Technical aptitude, including comfort navigating technical documentation and troubleshooting common workflow issues Solid organizational skills and attention to detail in a fast-paced environment Comfort working cross-functionally with customer-facing and technical teams Experience coordinating projects, trainings, meetings, or customer-facing activities through coursework, internships, student organizations, or previous work experience What Makes You Stand Out: Experience working with geospatial, remote sensing, or scientific data products Familiarity with coding languages esp Python Familiarity with Learning Management Systems (LMS), customer education platforms, or help centers Exposure to onboarding automation, lifecycle communications, or customer engagement tools Experience supporting technical or developer-focused customers Fluency in multiple languages Application Deadline: September 10, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Generous time off including vacation, holidays and company global days off Comprehensive Leave Policies Employee Wellness Program Home Office Reimbursement Monthly benefit to choose from a variety of providers (Urban Sports Club, Groceries, Clothes, Entertainment, Transportation...)* Monthly Phone and Internet Reimbursement Access to LinkedIn Learning Volunteering Benefits San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e. g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.", "summaryDescription" : "Working Student, Onboarding Specialist at Planet. Manage customer relationships. Drive customer retention", "postedDate" : "2026-06-14T21:00:43.353", "createdAt" : "2026-06-14T21:00:43.353", "lastUpdated" : "2026-06-16T01:58:30.625", "ingestTimestamp" : "2026-06-14T21:00:43.353", "mongoId" : "6a2d465274d8ee00a0b4e6eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21770d74d8ee00a0c1ba5d", "title" : "AI Data Associate with French", "company" : "Nuqtat Al Taknalojia", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 14000.0, "max" : 20000.0, "currency" : "JOD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Associate in Amman, Jordan, adjusted for the technology industry." }, "location" : "Amman, JOR", "locations" : [ "Amman, JOR" ], "timestamp" : "2026-06-15T05:33:26.150", "fingerprint" : "6ca041e132ba7d04ac842d9f34a10f05574d86118c99d9ee82005e7a7542397d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435530/apply", "externalId" : "e7711eb5-1fb9-47a5-8ace-54bb3776aba2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amman", "country" : "Jordan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.9515694,35.9239625" } ], "locationText" : "Amman, Jordan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large language models", "hardSkillsList" : [ "Data labeling", "Dialogue evaluation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" } ], "majorSkills" : "Data labeling, AI", "majorSkillsList" : [ "Data labeling", "AI" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with diverse data types, Deliver high-quality labelled data, Meet KPIs, Generate human insight data, Make sound judgments, Make logical decisions, Pivot between requirements, Support daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions, Enhance labeling quality, Identify process issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "toolProficiency" : [ "In-house tools" ], "communicationSkills" : "Business writing; Professional correspondence", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis", "outcomesObjectives" : "Meet KPIs", "qualificationsBasic" : "Associate's Degree or related work experience, B1+ English fluency, C1+ French fluency, Business writing skills, Advanced reading comprehension, Analytical thinking, Structured problem-solving, Interpret detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor's degree, 2+ years professional experience, Leverage open-source resources, Adapt to fast-paced environments, 2-3 years project coordination, Manage stakeholder relationships, Advanced Microsoft Office Suite proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. - Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis. A day in the life We are looking for an AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - - An Associate’s Degree or related work experience - - Good working knowledge (B1+) in both spoken and written English - - C1+ or equivalent fluency in French language - - Strong business writing skills with ability to create reports, proposals, and professional correspondence - - Advanced reading comprehension with ability to analyze complex business documents - - Developed analytical thinking and structured problem-solving capabilities - - Strong ability to interpret and implement detailed instructions across various projects - - Proficient research skills with experience gathering and synthesizing information from multiple sources - - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 2-3 years project coordination or management experience - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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" : "AI Data Associate with French at Nuqtat Al Taknalojia. Skills: Data labeling, AI. Maintain strict confidentiality. Work with diverse data types", "postedDate" : "2026-06-13T18:15:09.277", "createdAt" : "2026-06-13T18:15:09.277", "lastUpdated" : "2026-06-15T05:33:26.150", "ingestTimestamp" : "2026-06-13T18:15:09.277", "mongoId" : "6a21770d74d8ee00a0c1ba5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435530/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data labeling", "Dialogue evaluation", "AI", "Generative AI", "Large language models", "In-house tools" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306ae6f292fd229cfce458", "title" : "Specialist- Processing (Continuous Improvement)", "company" : "OceanaGold", "industry" : "Mining And Metals", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Processing Specialist in Kershaw, United States, adjusted for the manufacturing industry and company size." }, "location" : "Kershaw, SC, United States", "locations" : [ "Kershaw", "SC", "United States" ], "timestamp" : "2026-06-16T10:36:13.163", "fingerprint" : "ec7ded1c560ebc32139147ca3daf1f1ef2f3ad2ef52e1ed45c97e242a1d524c7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/OceanaGold/744000132208859-specialist-processing-continuous-improvement-", "externalId" : "744000132208859", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kershaw", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.3334398,-80.5669895" } ], "locationText" : "Kershaw, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Task qualification", "Equipment certification", "Recordkeeping", "Documentation" ], "hardSkillsList" : [ "Permit-to-work processes", "Isolation procedures", "Contractor onboarding", "Safety protocols", "Compliance protocols", "Hazard management", "Control plans" ], "hardSkills" : [ { "name" : "Permit-to-work processes", "level" : "intermediate" }, { "name" : "Isolation procedures", "level" : "intermediate" }, { "name" : "Contractor onboarding", "level" : "intermediate" }, { "name" : "Safety protocols", "level" : "intermediate" }, { "name" : "Compliance protocols", "level" : "intermediate" }, { "name" : "Hazard management", "level" : "intermediate" }, { "name" : "Control plans", "level" : "intermediate" } ], "majorSkills" : "Continuous improvement, Operational liaison, Process management", "majorSkillsList" : [ "Continuous improvement", "Operational liaison", "Process management" ], "coreResponsibilities" : "Serve as operational liaison for CI initiatives, Ensure CI efforts are executable, Ensure CI efforts are safe, Integrate CI into daily operations, Advocate for operability, Support execution logistics, Enable autonomy for CI-driven work, Manage permit-to-work processes, Manage isolations, Manage contractor onboarding for CI work, Verify contractor training records, Verify contractor task qualifications, Verify contractor equipment readiness, Coordinate contractor onboarding with Safety department, Ensure contractor compliance with safety protocols, Ensure contractor compliance with onboarding requirements, Maintain records of contractor task training, Maintain records of equipment certifications, Maintain records of permit history, Streamline execution logistics, Minimize operational disruption, Facilitate communication between CI team and operations, Ensure clarity of scope, Ensure clarity of timing, Ensure clarity of impact, Monitor CI execution activities, Ensure safety during CI execution, Ensure compliance during CI execution, Ensure operational readiness during CI execution, Identify potential conflicts, Escalate potential risks, Assist in documenting CI outcomes, Assist in documenting lessons learned, Assist in documenting feedback from operations, Ensure CI work aligns with site procedures, Act as point of contact for CI-related isolations, Act as point of contact for operational coordination, Verify equipment access, Verify operational constraints, Verify permit sequencing, Promote culture of continuous improvement, Promote operational ownership of CI initiatives", "teamCollaboration" : "Cross-functional teams; CI Team; Processing Operations; Maintenance; Safety; Training; External Customers; Contractors; Vendors; Supply Chain", "domainKnowledge" : "Principal Hazard Management Plans; Principal Control Plans", "domainList" : [ "principal-hazard-management-plans", "principal-control-plans" ], "domainSpecificKnowledge" : [ "Principal Hazard Management Plans", "Principal Control Plans" ], "documentationSkills" : "Recordkeeping; Documentation", "qualificationsBasic" : "3 years experience in processing plant environment, Familiarity with operational workflows, Familiarity with frontline execution, Understanding of permit-to-work systems, Understanding of isolations, Understanding of contractor management, Knowledge of site-specific procedures, Experience coordinating with safety departments, Experience coordinating with training departments, Ability to interpret work scopes, Ability to interpret risk assessments, Ability to interpret operational impacts", "qualificationsPreferred" : "Familiarity with PHMPs, Familiarity with PCPs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "OceanaGold is a growing mid-tier gold and copper producer listed on the Toronto Stock Exchange (TSX). With four operating mines—Haile in the USA, Didipio in the Philippines, and Macraes and Waihi in New Zealand—we are committed to safe, responsible mining that generates strong returns and supports sustainable development. Our purpose is mining gold for a better future. The gold, copper, and silver we produce power renewable energy, life-saving medical devices, and the technology that connects communities. Beyond this, our operations drive economic growth and improve health and education outcomes in the regions we serve, supporting over 3,700 direct jobs globally. Guided by our values—Care, Respect, Integrity, Performance, and Teamwork —we strive to be a trusted company people want to work for, partner with, and invest in, creating lasting value for all our stakeholders. Haile Gold Mine located in South Carolina is the largest gold mine on the East Coast of America. Our employees are at the heart of all we do. With 84% of our employees living in the surrounding community, they are neighbors and friends as well. Join our team, where your expertise can make a true impact! Reports to: Senior Project and CI Coordinator Direct Reports: None Internal Customers: CI Team, Processing Operations, Maintenance, Safety, Training External Customers: Contractors, Vendors, Supply Chain The Operations CI Specialist serves as the operational liaison for continuous improvement initiatives within the processing group. This role ensures that CI efforts are executable, safe, and well-integrated into daily operations without overburdening frontline teams. Acting as a bridge between operations and the CI team, the specialist advocates for operability, supports execution logistics, and enables autonomy for CI-driven work. This position is responsible for managing permit-to-work processes, isolations, and contractor onboarding specific to CI activities. The specialist ensures that contractors are properly trained, task-qualified, and equipped, and that all safety and compliance protocols are met in coordination with the Safety and Training departments. * Advocate for CI initiatives from an operational standpoint, ensuring operability and alignment with production priorities. * Manage permit-to-work processes and isolations for CI-related activities, ensuring timely approvals and safe execution. * Coordinate contractor onboarding for CI work, including verification of training records, task qualifications, and equipment readiness. * Liaise with the Safety department to ensure contractor compliance with site-specific safety protocols and onboarding requirements. * Maintain records of contractor task training, equipment certifications, and permit history. * Support CI team autonomy by streamlining execution logistics and minimizing operational disruption. * Facilitate communication between CI team and operations to ensure clarity of scope, timing, and impact. * Monitor CI execution activities in the field to ensure safety, compliance, and operational readiness. * Identify and escalate potential conflicts or risks related to CI work execution. * Assist in documenting CI outcomes, lessons learned, and feedback from operations. * Ensure CI work aligns with established site procedures, including Principal Hazard Management Plans (PHMPs) and Principal Control Plans (PCPs). * Act as a point of contact for CI-related isolations and operational coordination during execution. * Support CI readiness by verifying equipment access, operational constraints, and permit sequencing. * Promote a culture of continuous improvement and operational ownership of CI initiatives. ## Qualifications * Minimum 3 years of experience in this processing plant environment, with strong familiarity with operational workflows and frontline execution. * Strong understanding of permit-to-work systems, isolations, and contractor management. * Demonstrated knowledge of site-specific procedures, including PHMPs (Principal Hazard Management Plans) and PCPs (Principal Control Plans). * Experience coordinating with safety and training departments on compliance and onboarding. * Ability to interpret work scopes, risk assessments, and operational impacts. * Strong communication and coordination skills across teams and departments. * Detail-oriented with strong recordkeeping and documentation habits. * Ability to work independently while supporting cross-functional teams. * Commitment to safety, continuous improvement, and operational excellence. ## Additional Information WHAT'S ON OFFER: * Competitive salary + short-term and long-term bonus * Comprehensive benefits package including health, vision and dental insurance, 401K, and more * Great residential location between Columbia SC and Charlotte NC. * Long service recognition * Living Our Values recognition program * Supportive work environment with a focus on safety and teamwork * Access to OceanaGold Employee Assistance Program (EAP) YOU MATTER: OceanaGold is committed to providing equal employment opportunities. We believe a variety of perspectives are not only welcome – they are essential to our success. Should you require any assistance applying for this opportunity, please contact us at careers@oceanagold.com Must be eligible to work in the USA - Posting will remain open for 14 days PLEASE NOTE: APPLICATIONS FROM AGENCIES WILL NOT BE ACCEPTED", "summaryDescription" : "Specialist- Processing (Continuous Improvement) at OceanaGold. Skills: Continuous improvement, Operational liaison, Process management. Serve as operational liaison for CI initiatives. Ensure CI efforts are executable", "postedDate" : "2026-06-15T13:54:23.000", "createdAt" : "2026-06-16T00:23:27.429", "lastUpdated" : "2026-06-16T10:36:13.163", "ingestTimestamp" : "2026-06-16T00:23:27.429", "mongoId" : "6a306ae6f292fd229cfce458", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Permit-to-work processes", "Isolation procedures", "Contractor onboarding", "Safety protocols", "Compliance protocols", "Hazard management", "Control plans", "Continuous improvement", "Operational liaison", "Process management", "Task qualification", "Equipment certification", "Recordkeeping", "Documentation", "Principal Hazard Management Plans", "Principal Control Plans" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ed74d8ee00a0986e16", "title" : "Data Analyst with AI skills", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Analyst with AI skills in the Technology industry in Poland, adjusted for seniority and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T07:48:47.231", "fingerprint" : "0f36e4ca63cac5c29d11a406b789aac2663931e086e62ca839a94649afcb6e98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6018324004", "externalId" : "6018324004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Python, Jupyter Notebooks, Pandas, NumPy, DuckDB, SQL, APIs, AWS, Azure, GCP, Databricks, Snowflake, Docker, Kubernetes", "professionalSkills" : [ "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ETL development", "Data modelling", "Data warehousing", "Data governance", "Data security", "Performance optimization" ], "hardSkillsList" : [ "Data pipeline development", "Data transformation", "Data validation", "Data documentation", "Data ingestion", "SQL optimization", "Dashboard design", "KPI prioritization", "BI dashboard creation", "Data analysis" ], "softSkillsList" : [ "Independent" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data documentation", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" }, { "name" : "KPI prioritization", "level" : "intermediate" }, { "name" : "BI dashboard creation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent" } ], "majorSkills" : "Data pipelines, Business Intelligence, Data products, Cloud infrastructure", "majorSkillsList" : [ "Data pipelines", "Business Intelligence", "Data products", "Cloud infrastructure" ], "coreResponsibilities" : "Lead development of scalable ETL/analytics pipelines, Lead development of customer-facing analytics, Work with stakeholders to clarify questions, Map metrics to available data, Prioritize feasible KPIs, Build reliable pipelines, Ingest data, Validate data, Transform data, Document data, Design BI dashboards, Generate insightful dashboards, Enable customers to filter data, Enable customers to analyze data, Ensure solutions scale across customers, Leverage cloud infrastructure, Optimize performance", "teamCollaboration" : "Work with stakeholders; Cross-functional teams", "domainKnowledge" : "AI tooling; Cloud data stacks; ML frameworks; BI platforms; Operational data; Multi-tenant setups; Columnar/Parquet outputs; Analysis-ready datasets; Curated datasets; ERP systems", "domainList" : [ "ai-tooling", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "operational-data", "multi-tenant-setups", "columnar-parquet-outputs", "analysis-ready-datasets", "curated-datasets", "erp-systems" ], "domainSpecificKnowledge" : [ "AI tooling", "Cloud data stacks", "ML frameworks", "BI platforms", "Operational data", "Multi-tenant setups", "Columnar/Parquet outputs", "Analysis-ready datasets", "Curated datasets", "ERP systems" ], "toolProficiency" : [ "Jupyter Notebooks", "Pandas", "NumPy", "DuckDB", "Apache Superset", "Docker", "Kubernetes" ], "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Work from EU region, Work permit required", "outcomesObjectives" : "Turn data into insights; Turn data into workflows; Turn data into data products; Provide visual insights into KPIs", "qualificationsBasic" : "Proven experience developing data pipelines, Hands-on use of Pandas, Hands-on use of NumPy, Hands-on use of DuckDB, Familiarity with cloud environments, Expertise in SQL, Experience using BI tools, Expertise in dashboard design", "qualificationsPreferred" : "Experience with Apache Superset, Hands-on experience with cloud environments, Hands-on experience with containerization technologies, Knowledge of rights management in BI tools, Familiarity with parallelizing ETL processes, Familiarity with workflow orchestration", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About the project: We are building a modern analytics and Business Intelligence solution that integrates operational data from multiple ERP systems across countries, and turns it into reliable, customer-facing insights, analytical workflows, and reusable data products. You will be: leading the development of scalable ETL/analytics pipelines and customer-facing analytics - from requirements through published datasets and usable dashboards - for multi-tenant customer setups, working with stakeholders to clarify questions and metrics, map them to available ERP/operational data, and prioritize KPIs that are feasible, testable, and maintainable, building reliable pipelines that ingest, validate, transform, and document data into curated, analysis-ready datasets (e. g. columnar/Parquet outputs, consistent schemas), suitable for SQL-based reporting and dashboards, designing and implementing BI dashboards that use curated data to provide visual insights into relevant KPIs, enabling customers to filter, analyze, and interpret data with ease, ensuring solutions can scale across multiple customers with minimal effort, leveraging cloud infrastructure and optimizing performance where necessary. Your profile: strong ability to work independently and proactively in a fast-paced project, knowledgable in advanced AI tooling for productivity, including MCP, agent skills, harness engineering (Claude code/Cursor/Codex), Worktrees, proven experience developing data pipelines using Python and Jupyter Notebooks, hands-on use of Pandas, NumPy, and DuckDB (or equivalent analytical SQL engines) for transforms, validation, and performance-conscious processing, familiarity with cloud environments and utilizing SDKs to extract data from various sources, including Azure, AWS, APIs, and SQL databases, expertise in SQL for data manipulation and creating normalized datasets from multiple systems, experience using BI tools to create and manage datasets and generate insightful dashboards, expertise in dashboard design, including the use of filters and other interactive elements for deep data analysis, experience with Apache Superset is a strong plus. Work from the European Union region and a work permit are required. Nice to have: hands-on experience with cloud environments and containerization technologies (e.g., Docker, Kubernetes), knowledge of rights management in BI tools for data security and access control, familiarity with parallelizing ETL processes and workflow orchestration to improve efficiency and scalability. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Analyst with AI skills at Xebia. Skills: Data pipelines, Business Intelligence, Data products, Cloud infrastructure. Lead development of scalable ETL/analytics pipelines. Lead development of customer-facing analytics", "postedDate" : "2026-06-13T21:27:17.668", "createdAt" : "2026-06-13T21:27:17.668", "lastUpdated" : "2026-06-15T07:48:47.231", "ingestTimestamp" : "2026-06-13T21:27:17.668", "mongoId" : "6a2c92ed74d8ee00a0986e16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data transformation", "Data validation", "Data documentation", "Data ingestion", "SQL optimization", "Dashboard design", "KPI prioritization", "BI dashboard creation", "Data analysis", "Independent", "Data pipelines", "Business Intelligence", "Data products", "Cloud infrastructure", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ETL development", "Data modelling", "Data warehousing", "Data governance", "Data security", "Performance optimization", "AI tooling", "Cloud data stacks", "ML frameworks", "BI platforms", "Operational data", "Multi-tenant setups", "Columnar/Parquet outputs", "Analysis-ready datasets", "Curated datasets", "ERP systems", "Jupyter Notebooks", "Pandas", "NumPy", "DuckDB", "Apache Superset", "Docker", "Kubernetes" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68c874d8ee00a0904bdd", "title" : "Working Student – Battery Science and Data (f/m/d)", "company" : "Munich Electrification", "industry" : "Munich Electrification", "salary" : { "min" : 43000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Working Student in Battery Science and Data in Munich, Germany, adjusted for the automotive industry and company size." }, "location" : "Munich", "locations" : [ "Munich" ], "timestamp" : "2026-06-16T02:03:41.673", "fingerprint" : "63d15df9db0d646a2315f03b1a1414c1e5c989a866d902a939032d11105fae17", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/munich-electrification/01c68b95-023d-476e-8b2d-654b5ffc7581/application", "externalId" : "01c68b95-023d-476e-8b2d-654b5ffc7581", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, AWS, Docker, Git, ODEs", "professionalSkills" : [ "Data analysis", "Algorithm development", "Cloud simulation", "Data cleansing", "Data structuring", "Dataset preparation", "Proof of concepts" ], "hardSkillsList" : [ "Physics-based modeling", "Time-series databases", "Kalman filters" ], "hardSkills" : [ { "name" : "Physics-based modeling", "level" : "intermediate" }, { "name" : "Time-series databases", "level" : "intermediate" }, { "name" : "Kalman filters", "level" : "intermediate" } ], "majorSkills" : "Battery science, Data analysis, Cloud simulation", "majorSkillsList" : [ "Battery science", "Data analysis", "Cloud simulation" ], "coreResponsibilities" : "Support development and validation of battery cell models, Support development and validation of high-level algorithms, Run simulations and analyze results, Assist in maintaining data pipeline infrastructure, Cleanse data, Structure raw logs from IoT devices, Prepare datasets for analysis, Support deployments in test cars, Monitor OTA updates, Evaluate proof of concepts, Implement proof of concepts, Document proof of concepts", "teamCollaboration" : "Work directly with engineers; Preference for working in teams", "domainKnowledge" : "Electric vehicle batteries; Battery management; Electronics development; Lithium-ion battery behavior; Dynamical systems; State estimation methods", "domainList" : [ "electric-vehicle-batteries", "battery-management", "electronics-development", "lithium-ion-battery-behavior", "dynamical-systems", "state-estimation-methods" ], "domainSpecificKnowledge" : [ "Electric vehicle batteries", "Battery management", "Electronics development", "Lithium-ion battery behavior", "Dynamical systems", "State estimation methods" ], "toolProficiency" : [ "Git", "Docker", "AWS" ], "communicationSkills" : "English; German", "documentationSkills" : "Document proof of concepts", "innovationCreativity" : "Innovate quickly; Anticipate future needs; Take smart risks", "problemSolvingSkills" : "Analyze results; Evaluate algorithms; Evaluate data analysis tools", "qualificationsBasic" : "Student in electrical engineering, physics, mathematics, computer science, software engineering, or similar, Confident working in high-level programming language for data analysis, Basic understanding of general electronics, embedded systems, and IoT devices, Willingness to take responsibility for a project, Not discouraged by setbacks", "qualificationsPreferred" : "Comfortable with data analysis in Python, Comfortable with databases (SQL / time-series), Comfortable with cloud/infrastructure tooling, Knowledge of dynamical systems (ODEs), Knowledge of state estimation methods, Initial insights into modeling lithium-ion battery behavior", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Munich Electrification Munich Electrification is an innovative company founded with the aim of accelerating the transition to electric and connected mobility. We develop innovative electronic control units for electric vehicles and stationary storage systems for our global customers. Our international team is composed of highly motivated and exceptional engineers. As a small and specialized team we are well-aware of the importance of each individual colleague and support and promote each employee according to their abilities and needs. Our office with adjacent prototype and testing lab is located in the heart of Munich at the Heimeranplatz. This is what we stand for: - Technological Leadership: We challenge norms, innovate quickly, and anticipate future needs. We take smart risks and learn from outcomes to stay ahead. - Sustainability: We actively drive change for a sustainable future, aware of our impact and inspiring others to build a better world. - Team Culture: We believe work should be enjoyable, fostering a spirit of inspiration, celebration, and teamwork across the globe. - Entrepreneurial Spirit: We embrace change, think big, and push limits with passion. Your Role We are looking for a working student to join our Battery Science and Data team. You will work directly with our engineers to gain hands-on experience in physics-based modeling, data analysis, and cloud-based simulation. This is your chance to deepen your knowledge of electric vehicle batteries and the simulation frameworks used to model their real-world behavior. We are hiring several working students for different areas in our team. You will focus on one of them, so you do not need to bring the full list below. Just show us where your strengths are. Your future tasks at a glance - Support the development and validation of battery cell models and high-level algorithms (e.g., SOx estimation) by running simulations and analyzing results. - Assist in maintaining our data pipeline infrastructure, including data cleansing, structuring raw logs from IoT devices, and preparing datasets for analysis. - Support the team with deployments in test cars and monitor OTA (Over-the-Air) updates to ensure data integrity. - Evaluate, implement, and document proof of concepts for future algorithms or new data analysis tools. What you bring with you - Student in electrical engineering, physics, mathematics, computer science, software engineering, or a similar field. - Confident working in a high-level programming language (Python preferred) for data analysis. - Basic understanding of general electronics, embedded systems, and IoT devices. - Willingness to take responsibility for a project and not to be discouraged by setbacks. - Preference for working in teams and strong communication skills (English and German preferred). Ideally, you also have - Comfortable with at least one of: data analysis in Python, or databases (SQL / time-series) and cloud/infrastructure tooling (AWS, Docker, Git). - Knowledge of dynamical systems (ODEs) or state estimation methods (e.g., Kalman filters). - Initial insights into modeling lithium-ion battery behavior. Our Offer & Benefits The chance to be part of a highly innovative, agile, and unique team with prestigious customers in the automotive and battery storage sector. You will gain a deeper knowledge around connected & electric vehicle batteries, battery management and electronics development and strive in an exciting work environment Benefits (Full-time Employees): - Trust-based working hours and hybrid work - Adequate and competitive compensation - Pension Plan/Bonus - Free access to the fitness center right next to us or subsidized EGYM Wellpass - Free snacks, coffee, drinks and lunch (freshly cooked by our chef) every day - Public transport ticket - Bike-Leasing via Business Bike - Experience various inspiring and fun team events - ME-branded clothing - Option to \"work from anywhere\" (6 weeks/year)", "summaryDescription" : "Working Student – Battery Science and Data (f/m/d) at Munich Electrification. Skills: Battery science, Data analysis, Cloud simulation. Support development and validation of battery cell models. Support development and validation of high-level algorithms", "createdAt" : "2026-06-14T19:28:27.528", "lastUpdated" : "2026-06-16T02:03:41.673", "ingestTimestamp" : "2026-06-14T19:28:27.528", "mongoId" : "6a2c68c874d8ee00a0904bdd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Physics-based modeling", "Time-series databases", "Kalman filters", "Battery science", "Data analysis", "Cloud simulation", "Algorithm development", "Data cleansing", "Data structuring", "Dataset preparation", "Proof of concepts", "Electric vehicle batteries", "Battery management", "Electronics development", "Lithium-ion battery behavior", "Dynamical systems", "State estimation methods", "Git", "Docker", "AWS" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cc774d8ee00a091b4b8", "title" : "Working Student B2B Marketing", "company" : "Zattoo", "industry" : "Media", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Working Student in Media in Berlin, Germany, adjusted for company size and industry." }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-16T01:53:30.027", "fingerprint" : "034972107633a4eef737069dbb5734a099981cfdfa7ad07ce91f1e120de1401d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://zattoo.com/de/en/company/jobs/info/?gh_jid=4799003101", "externalId" : "4799003101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "technicalSkills" : "HubSpot, Canva", "professionalSkills" : [ "Account-based marketing", "Digital campaigns", "Event operations", "Social media marketing", "B2B marketing", "Marketing automation", "CMS platforms", "Email platforms", "Spreadsheet reporting" ], "hardSkillsList" : [ "Campaign management", "Budget tracking", "Invoice tracking" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Budget tracking", "level" : "intermediate" }, { "name" : "Invoice tracking", "level" : "intermediate" } ], "majorSkills" : "B2B Marketing, Digital Campaigns, Event Management", "majorSkillsList" : [ "B2B Marketing", "Digital Campaigns", "Event Management" ], "coreResponsibilities" : "Set up digital campaigns, Test digital campaigns, Launch digital campaigns, Coordinate assets with agencies, Coordinate feedback with agencies, Upload contact lists, Maintain contact lists, Maintain campaign tracking, Support event operations, Build social content, Schedule social content, Publish social content, Track budgets, Track invoices", "teamCollaboration" : "Work with agencies; Work with sales; Work with product team; Work with Senior ABM Manager; Work with Events Manager; Work with Director of B2B Marketing", "domainKnowledge" : "Streaming; TV as-a-Service; Enterprise buyers", "domainList" : [ "streaming", "tv-as-a-service", "enterprise-buyers" ], "domainSpecificKnowledge" : [ "Streaming", "TV as-a-Service", "Enterprise buyers" ], "toolProficiency" : [ "HubSpot", "Canva" ], "continuousLearning" : "Internal trainings; German language classes; Hackdays", "specialRequirements" : "Remote work worldwide (up to 8 weeks/year), Occasional travel for events", "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's, Fluent in English", "qualificationsPreferred" : "Familiarity with LinkedIn marketing, Basic paid social experience, Interest in B2B, Interest in enterprise tech, Interest in media/streaming industry, German language skills, Willingness to travel for events", "workSiteFlexibility" : "Flexible", "rawDescription" : "YOUR FUTURE, ON DEMAND The ideal blend of stability and flexibility. A genuinely human employer that cares for people and the planet. True autonomy to shape what comes next, for us and you. This is the perfect platform to take your career where you want. Back in 2005, we pioneered Europe’s first TV streaming service. Today, we’re the world’s first certified climate neutral TV streaming provider. Several million users across three countries. Over 230 colleagues of 47 nationalities. We’re the grown-up start-up, helping to shape a better future since day one. That hasn’t changed, even if the world has. We’re friendly, international, inclusive – and our people say we’re reliable and transparent, too. It’s why they trust us and believe in what we do. THE ROLE Join our B2B Marketing team and help bring account-based marketing campaigns, live and online events to life for one of Europe's pioneering streaming companies. You'll work hands-on across digital campaigns, event operations, and social media — learning enterprise B2B marketing from the inside while making a real impact from a small, autonomous team. THE B2B MARKETING TEAM We're a three-person direct and five- to seven-person extended projects team responsible for Zattoo's entire B2B go-to-market — from account-based and product marketing campaigns targeting TV operators and telcos worldwide to online and live industry events like IBC Amsterdam. We work with agencies, sales, and our portfolio and product team telling Zattoo's story to Streaming / TV as-a-Service and modular enterprise buyers. You'll be the fourth of us, working directly with our Senior ABM Manager Marie-Anne and Events Manager Lisa-Marie on the things that actually ship and ever-more-often also our Director of B2B Marketing Hanns on our strategic market and PR narrative. WHAT YOU’LL DO Set up, test, and launch digital campaigns — emails, landing pages, forms, and workflows in HubSpot and social platforms Coordinate assets and feedback loops with external agencies and online / live event organisers Keep our data clean: upload and maintain contact lists, campaign associations, and tracking in HubSpot Support event operations end-to-end — from registration setup and promotion to on-site support and post-event follow-up Build, schedule and publish organic and paid social content (primarily LinkedIn, using e. g. Canva and various enterprise-grade GenAIs based on agency-created assets) Track budgets and invoices against campaign and event plans WHAT YOU’LL BRING Currently enrolled in a Bachelor's or Master's programme in Marketing, Business, Communications, or similar Comfortable working with digital tools — you'll pick up HubSpot, but some experience with marketing automation, CMS, or email platforms helps The ability to think and project across functional boundaries: connecting marketing mechanics to business context, team dynamics, and systems Solid with spreadsheets (Excel or Google Sheets) for tracking and reporting Organised and reliable — you can manage parallel tasks without things slipping Self-directed enough to work in a small team with real autonomy Fluent in English (our working language) Bonus: Familiarity with LinkedIn marketing or basic paid social Interest in B2B, enterprise tech, or the media/streaming industry German language skills Willingness to occasionally travel for events (e. g. IBC Amsterdam) WHY JOIN US? At Zattoo, you’re always on firm ground with real freedom to explore. You’ll have the support and opportunity you need to go far, while you’re helping us create a sustainable and entertainment-filled future for all. WHAT WE OFFER YOU Reward: strong market competitive salary Invest: valuable work experience, guidance, and growth opportunities Regulate: trust based flexible working hours and the option for remote work worldwide for up to 8 weeks per year Plus: We’re sharing: Free access to the best streaming experience on the market We’re developing: Access to exciting learning opportunities like internal trainings, German language classes and hackdays We’re inclusive: ‘Zattooies’ are a fun, engaged, and diverse team made up of 47 nationalities We’re healthy: Health checks, mental wellbeing support, team sports and more! We’re responsible: We are carbon neutral, an active employee Green team We’re sociable: A calendar of events with fireside chats, lunches, in-house bar, BBQ’s, monthly socials, summer party and an annual off-site event Zattoo enables our users to view indiscriminately and we reflect that in our team too. Regardless of race, gender, sexual orientation, religion, national origin, age, disability or any other characteristic protected by law we encourage everyone to apply and will give everyone equal consideration. We are an equal opportunities employer — join us and help build a diverse team dedicated to revolutionising the way you watch TV. We are committed to ensuring fair, open, and equitable hiring practices and are happy to answer any questions you may have about us or the role throughout the whole process. In line with the EU Pay Transparency Directive, we share the applicable compensation range with you before your first interview. You can learn more about us at: https://zattoo.com", "summaryDescription" : "Working Student B2B Marketing at Zattoo. Skills: B2B Marketing, Digital Campaigns, Event Management. Set up digital campaigns. Test digital campaigns", "postedDate" : "2026-06-14T18:33:54.937", "createdAt" : "2026-06-14T18:33:54.937", "lastUpdated" : "2026-06-16T01:53:30.027", "ingestTimestamp" : "2026-06-14T18:33:54.937", "mongoId" : "6a2c6cc774d8ee00a091b4b8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Campaign management", "Budget tracking", "Invoice tracking", "B2B Marketing", "Digital Campaigns", "Event Management", "Account-based marketing", "Digital campaigns", "Event operations", "Social media marketing", "B2B marketing", "Marketing automation", "CMS platforms", "Email platforms", "Spreadsheet reporting", "Streaming", "TV as-a-Service", "Enterprise buyers", "HubSpot", "Canva" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c799674d8ee00a0941f6f", "title" : "Senior Java Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Java Engineer in the Technology industry, adjusted for seniority and global remote work." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T02:53:59.438", "fingerprint" : "67bd789e6a973c7374624f7674d06be44201493f73812d0cb2b8ac0a4d720c02", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8001191&gh_jid=8001191", "externalId" : "8001191", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Spring Boot, Kafka, Redis, Elasticsearch, Microservices, AWS, GCP, Azure, Docker, Kubernetes, SQL, NoSQL, Linux, Unix, Git, CI/CD, Terraform, Ansible", "professionalSkills" : [ "System design", "Problem solving", "Troubleshooting" ], "hardSkillsList" : [ "Distributed systems", "Performance tuning", "Data streaming", "Large-scale data processing" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Data streaming", "level" : "intermediate" }, { "name" : "Large-scale data processing", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java, Microservices", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java", "Microservices" ], "coreResponsibilities" : "Design and implement distributed systems, Develop and maintain microservices, Optimize Elasticsearch performance, Build and manage CI/CD pipelines, Ensure system reliability and scalability, Troubleshoot and resolve production issues, Collaborate with cross-functional teams, Write clean, maintainable code, Participate in code reviews, Contribute to system architecture discussions, Develop and maintain monitoring and alerting systems, Manage cloud infrastructure, Implement infrastructure as code", "teamCollaboration" : "Cross-functional teams; Code reviews", "projectManagementSkills" : [ "Agile", "Scrum", "CI/CD" ], "domainKnowledge" : "Distributed systems; Microservices architecture; Cloud platforms; Containerization; Data streaming; Observability", "domainList" : [ "distributed-systems", "microservices-architecture", "cloud-platforms", "containerization", "data-streaming", "observability" ], "domainSpecificKnowledge" : [ "Distributed systems", "Microservices architecture", "Cloud platforms", "Containerization", "Data streaming", "Observability" ], "toolProficiency" : [ "Docker", "Kubernetes", "Git", "Terraform", "Ansible", "JIRA" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Performance tuning", "qualificationsBasic" : "5+ years of experience in software development, Experience with distributed systems, Experience with Elasticsearch, Experience with Java, Experience with Spring Boot, Experience with Kafka, Experience with Redis, Experience with microservices architecture, Experience with cloud platforms (AWS, GCP, Azure), Experience with CI/CD pipelines, Experience with containerization (Docker, Kubernetes), Experience with SQL and NoSQL databases, Experience with monitoring and alerting tools, Experience with Linux/Unix environments, Experience with Git", "qualificationsPreferred" : "Experience with performance tuning, Experience with distributed tracing, Experience with observability tools, Experience with data streaming technologies, Experience with machine learning, Experience with AI, Experience with large-scale data processing, Experience with security best practices, Experience with infrastructure as code (Terraform, Ansible), Experience with Kubernetes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 272.000 Lei—430.200 Lei RON Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Microservices. Design and implement distributed systems. Develop and maintain microservices", "postedDate" : "2026-06-14T20:08:34.290", "createdAt" : "2026-06-14T20:08:34.290", "lastUpdated" : "2026-06-16T02:53:59.438", "ingestTimestamp" : "2026-06-14T20:08:34.290", "mongoId" : "6a2c799674d8ee00a0941f6f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Performance tuning", "Data streaming", "Large-scale data processing", "Elasticsearch", "Java", "Microservices", "System design", "Problem solving", "Troubleshooting", "Agile", "Scrum", "CI/CD", "Microservices architecture", "Cloud platforms", "Containerization", "Observability", "Docker", "Kubernetes", "Git", "Terraform", "Ansible", "JIRA" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799674d8ee00a0941f6e", "title" : "Senior Java Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Java Engineer in the Technology industry, adjusted for seniority and global remote work, with a focus on the Indian market due to the currency requested." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T06:54:33.374", "fingerprint" : "cf5c1d3db0898d183b5d99675796d50c40e66bd3023945ab1d543120b474142d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8001192&gh_jid=8001192", "externalId" : "8001192", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Spring Boot, Kafka, Redis, Elasticsearch, Microservices, AWS, GCP, Azure, Docker, Kubernetes, SQL, NoSQL, CI/CD, Go, GRPC", "professionalSkills" : [ "System design", "Performance tuning", "Security best practices", "Agile methodologies" ], "hardSkillsList" : [ "Distributed systems", "Microservices architecture", "Cloud platforms", "Containerization", "Monitoring and alerting", "Performance optimization", "Security best practices" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Microservices architecture", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Monitoring and alerting", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Security best practices", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java, Microservices", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java", "Microservices" ], "coreResponsibilities" : "Design, build, and maintain scalable microservices, Develop and optimize Elasticsearch solutions, Implement and manage CI/CD pipelines, Ensure system reliability and performance, Troubleshoot and resolve production issues, Collaborate with cross-functional teams, Write clean, maintainable, and testable code, Participate in code reviews, Stay up-to-date with new technologies", "teamCollaboration" : "Cross-functional teams; Code reviews", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Microservices architecture; Elasticsearch; Cloud platforms", "domainList" : [ "distributed-systems", "microservices-architecture", "elasticsearch", "cloud-platforms" ], "domainSpecificKnowledge" : [ "Distributed systems", "Microservices architecture", "Elasticsearch", "Cloud platforms" ], "toolProficiency" : [ "Docker", "Kubernetes", "AWS", "GCP", "Azure", "CI/CD tools" ], "continuousLearning" : "Stay up-to-date with new technologies", "problemSolvingSkills" : "Troubleshoot and resolve production issues; Performance tuning; Optimization", "qualificationsBasic" : "5+ years of experience in software development, Experience with distributed systems, Experience with Elasticsearch, Experience with Java, Experience with Spring Boot, Experience with Kafka, Experience with Redis, Experience with microservices architecture, Experience with cloud platforms (AWS, GCP, Azure), Experience with CI/CD pipelines, Experience with containerization (Docker, Kubernetes), Experience with SQL and NoSQL databases, Experience with monitoring and alerting tools, Experience with performance tuning and optimization, Experience with security best practices, Experience with Agile methodologies", "qualificationsPreferred" : "Experience with Go, Experience with gRPC, Experience with distributed tracing, Experience with observability tools, Experience with data streaming platforms, Experience with machine learning, Master's degree in Computer Science or related field, Contributions to open-source projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Microservices. Design, build, and maintain scalable microservices. Develop and optimize Elasticsearch solutions", "postedDate" : "2026-06-14T19:17:58.197", "createdAt" : "2026-06-14T19:17:58.197", "lastUpdated" : "2026-06-16T06:54:33.374", "ingestTimestamp" : "2026-06-14T19:17:58.197", "mongoId" : "6a2c799674d8ee00a0941f6e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Microservices architecture", "Cloud platforms", "Containerization", "Monitoring and alerting", "Performance optimization", "Security best practices", "Elasticsearch", "Java", "Microservices", "System design", "Performance tuning", "Agile methodologies", "Docker", "Kubernetes", "AWS", "GCP", "Azure", "CI/CD tools" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ca974d8ee00a094dfe7", "title" : "Purchasing Processing Coordinator", "company" : "Trove Brands", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Purchasing Processing Coordinator in Lehi, United States, with adjustments for the retail industry and company size." }, "location" : "Lehi, Utah, United States", "locations" : [ "Lehi", "Utah", "United States" ], "timestamp" : "2026-06-16T02:01:31.227", "fingerprint" : "780cf6c739a7382ca30ff9c6c32586fadbafa0c63239bf449d8548f608434a0a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trovebrands/jobs/4232883009", "externalId" : "4232883009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lehi", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3881114,-111.8486019" } ], "locationText" : "Lehi, Utah, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Trove Brands is a privately-held house of brands including BlenderBottle®, Owala®, Whiskware®, and Eco-Brite®. Our patented and best-selling products are designed to simplify and improve everyday life with leading-edge innovation, incomparable quality, and aspirational style. A career at Trove Brands is not about punching the clock. It’s about embracing exciting and fast-paced opportunities that sharpen your skills, drive innovation, and play an integral role in growing our global reach. Your work will not only impact the company, it will impact the lives of millions of people around the world. When you step up to a career at Trove, you step up to cutting-edge excellence. You sign up for bold action and invigorating synergy. You agree to face—and break through—new challenges every single day. The purchasing Processing Coordinator plays an integral role in driving the purchasing process. Job responsibilities include: New Physical Item Orders: Process orders for new physical items (NPIs), ensuring accuracy and timely delivery to support product launches. Work closely with sales and marketing departments to ensure items are created to exact needs. New Product Launch Orders: Process orders for new product launches (NPLs), ensuring accuracy and timely delivery to support product launches. Work closely with the product development department to ensure new product launches are successfully moved into mass production. Purchase Order Creation approaches work with humility, positivity, and teamwork. Our culture is passionate, entrepreneurial, and energetic. We value innovation through collaboration. And while we work smart and hard, we also connect and celebrate with equal gusto. We host team-building activities, athletic events, and seasonal celebrations to foster community and reward accomplishments. Bottom line? You’ll love it here. Among the many benefits our team members enjoy are: Comprehensive medical, dental, and vision care 401k package with employer matching Paid Time Off Maternity/Paternity leave Full indoor basketball/volleyball court Fully equipped fitness center (cardio, weights, functional fitness area, lockers and showers, etc.) Yoga studio Meditation/Nap room And much more! Trove Brands is an equal opportunity employer. Phone calls regarding this position are not accepted. This is a fully in-office position at our HQ in Lehi, Utah.", "summaryDescription" : "Purchasing Processing Coordinator at Trove Brands", "postedDate" : "2026-06-14T19:11:59.835", "createdAt" : "2026-06-14T19:11:59.835", "lastUpdated" : "2026-06-16T02:01:31.227", "ingestTimestamp" : "2026-06-14T19:11:59.835", "mongoId" : "6a2c7ca974d8ee00a094dfe7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 60000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c799674d8ee00a0941f72", "title" : "Senior Java Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Java Engineer in the Technology industry, adjusted for seniority and global remote work." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T01:38:19.252", "fingerprint" : "1c130fddb3c698ced4966ba6f053b5cd7ad42b358ee487999a8d93f3eaaac5cf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8001185&gh_jid=8001185", "externalId" : "8001185", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Spring Boot, Kafka, Redis, Elasticsearch, Microservices, AWS, GCP, Azure, Docker, Kubernetes, SQL, NoSQL, CI/CD, Go, GRPC", "professionalSkills" : [ "System design", "Performance tuning", "Security best practices" ], "hardSkillsList" : [ "Distributed systems", "Microservices architecture", "Containerization", "Monitoring", "Alerting", "Performance optimization" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Microservices architecture", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Elasticsearch, Java, Microservices", "majorSkillsList" : [ "Distributed systems", "Elasticsearch", "Java", "Microservices" ], "coreResponsibilities" : "Design, build, and maintain scalable distributed systems, Develop and optimize Elasticsearch solutions, Write high-quality, maintainable Java code, Implement and manage microservices architecture, Deploy and manage applications on cloud platforms, Build and maintain CI/CD pipelines, Containerize applications using Docker and Kubernetes, Work with SQL and NoSQL databases, Implement monitoring and alerting systems, Tune system performance and optimize resource utilization, Ensure security best practices are followed, Collaborate with cross-functional teams, Participate in code reviews, Troubleshoot and resolve production issues, Contribute to architectural decisions, Stay up-to-date with new technologies", "teamCollaboration" : "Cross-functional teams; Code reviews", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Elasticsearch; Microservices architecture; Cloud platforms", "domainList" : [ "distributed-systems", "elasticsearch", "microservices-architecture", "cloud-platforms" ], "domainSpecificKnowledge" : [ "Distributed systems", "Elasticsearch", "Microservices architecture", "Cloud platforms" ], "toolProficiency" : [ "Docker", "Kubernetes", "AWS", "GCP", "Azure", "CI/CD tools" ], "problemSolvingSkills" : "Performance tuning; Optimization; Troubleshooting", "qualificationsBasic" : "5+ years of experience in software development, Experience with distributed systems, Experience with Elasticsearch, Experience with Java, Experience with Spring Boot, Experience with Kafka, Experience with Redis, Experience with microservices architecture, Experience with cloud platforms (AWS, GCP, Azure), Experience with CI/CD pipelines, Experience with containerization (Docker, Kubernetes), Experience with SQL and NoSQL databases, Experience with monitoring and alerting tools, Experience with performance tuning and optimization, Experience with security best practices, Experience with Agile methodologies", "qualificationsPreferred" : "Experience with Go, Experience with gRPC, Experience with distributed tracing, Experience with observability tools, Experience with data streaming platforms, Experience with machine learning frameworks, Master's degree in Computer Science or related field", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 15 805 300 Ft—25 001 600 Ft HUF Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Java Engineer - Distributed Systems - Elasticsearch at Elastic. Skills: Distributed systems, Elasticsearch, Java, Microservices. Design, build, and maintain scalable distributed systems. 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The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €73.300—€115.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic", "postedDate" : "2026-06-14T21:29:13.847", "createdAt" : "2026-06-14T21:29:13.847", "lastUpdated" : "2026-06-16T00:59:41.314", "ingestTimestamp" : "2026-06-14T21:29:13.847", "mongoId" : "6a2c799474d8ee00a0941f0c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799474d8ee00a0941f11", "title" : "Principal Software Engineer - Distributed Systems - Elasticsearch", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Principal Software Engineers in the Technology industry, adjusted for executive seniority, remote work, and the global nature of the role." }, "location" : "Distributed, Global", "locations" : [ "Distributed", "Global" ], "timestamp" : "2026-06-16T01:04:03.979", "fingerprint" : "0bd3d2943d9b49615394d694bab25e30bae1c2cdebeda84602cbb69ae3856a8c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8002563&gh_jid=8002563", "externalId" : "8002563", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. What You Will Be Doing: Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. What You Bring: A strong background in distributed systems and consensus algorithms. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You have a deep technical proficiency in algorithms. You have shown your ability to understand and work on complex, highly distributed systems. You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience managing projects involving multiple engineers. Bonus Points: Data stores Search, analytics, Lucene Strong knowledge of the JDK Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 831 700 kr—1 315 600 kr SEK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Software Engineer - Distributed Systems - Elasticsearch at Elastic", "postedDate" : "2026-06-14T20:42:17.926", "createdAt" : "2026-06-14T20:42:17.926", "lastUpdated" : "2026-06-16T01:04:03.979", "ingestTimestamp" : "2026-06-14T20:42:17.926", "mongoId" : "6a2c799474d8ee00a0941f11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 10000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3050a0f292fd229cef2fdd", "title" : "Working Student Marketing (w/m/d)", "company" : "Enpal", "industry" : "Headquarter Growth", "salary" : { "min" : 14000.0, "max" : 22000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time Working Student Marketing role in Bulgaria, adjusted for the climate tech industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T12:01:16.683", "fingerprint" : "c713924a8aa1de0e32ff8d6c58d3edaefe11c68d3040342ea84aeb6c5357afce", "source" : "ashby", "language" : "de", "applyUrl" : "https://jobs.ashbyhq.com/enpal/2a7dde9a-6271-4408-911d-3675009da934/application", "externalId" : "2a7dde9a-6271-4408-911d-3675009da934", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI", "professionalSkills" : [ "Performance Marketing", "Paid Marketing", "Campaign Management", "Landing Page Optimization", "Growth Projects" ], "hardSkillsList" : [ "AI-generated ads", "Creative development" ], "softSkillsList" : [ "Analytical", "Structured", "Independent", "Solution-oriented", "Prioritization" ], "hardSkills" : [ { "name" : "AI-generated ads", "level" : "intermediate" }, { "name" : "Creative development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Structured" }, { "name" : "Independent" }, { "name" : "Solution-oriented" }, { "name" : "Prioritization" } ], "majorSkills" : "Performance Marketing, Campaign Optimization, Creative Concepts, Growth Projects", "majorSkillsList" : [ "Performance Marketing", "Campaign Optimization", "Creative Concepts", "Growth Projects" ], "coreResponsibilities" : "Support operational initiatives, Support strategic initiatives, Plan AI-generated ads, Create AI-generated ads, Optimize AI-generated ads, Implement Paid-Marketing campaigns, Develop Paid-Marketing campaigns, Improve campaign performance, Create Creatives with AI, Optimize Landing Pages, Collaborate with Marketing team, Collaborate with Management team, Identify optimization potentials, Develop own ideas, Conceptualize campaigns, Conceptualize creatives, Manage Growth Projects, Manage Project parts, Support ad-hoc projects, Support daily business", "teamCollaboration" : "Marketing team; Management team; Different stakeholders", "projectManagementSkills" : [ "Project Management" ], "domainKnowledge" : "Energy Market; Decentralized Energy; Solar Energy; Battery Storage; Electric Vehicles; AI Platform; Marketing; Growth Topics; Entrepreneurship", "domainList" : [ "energy-market", "decentralized-energy", "solar-energy", "battery-storage", "electric-vehicles", "ai-platform", "marketing", "growth-topics", "entrepreneurship" ], "domainSpecificKnowledge" : [ "Energy Market", "Decentralized Energy", "Solar Energy", "Battery Storage", "Electric Vehicles", "AI Platform", "Marketing", "Growth Topics", "Entrepreneurship" ], "toolProficiency" : [ "AI Tools" ], "communicationSkills" : "Communication", "innovationCreativity" : "Develop new ideas; Conceptualize campaigns; Conceptualize creatives", "problemSolvingSkills" : "Identify optimization potentials; Develop own ideas; Solution-oriented", "qualificationsBasic" : "Bachelor's or Master's study, First practical experience", "qualificationsPreferred" : "Experience in Startups, Experience in Marketing, Experience in Business Development, Experience in Project Management, Experience in Consulting", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie – von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One http://Enpal.One+, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. Bist Du bereit für Lösungen, die mehr als nur ein Versprechen sind und täglich echte Lebensqualität in tausende Haushalte bringen? Was du bei Enpal gestaltest, liefert morgen sauberen Strom und verändert nachhaltig, wie wir Energie nutzen. DEINE AUFGABEN - Du unterstützt bei operativen und strategischen Initiativen im Performance Marketing, insbesondere bei der Planung, Erstellung und Optimierung von AI-generierten Werbeanzeigen - Du wirkst bei der Umsetzung und Weiterentwicklung von Paid-Marketing-Kampagnen mit und hilfst dabei, deren Performance kontinuierlich zu verbessern - Du unterstützt bei der Erstellung von Creatives mit AI-Tools sowie bei der Optimierung von Landing Pages - Du arbeitest eng mit dem Marketing- und Managementteam zusammen und erhältst Einblicke in strategische Entscheidungsprozesse - Du identifizierst eigenständig Optimierungspotenziale im Marketing und bringst eigene Ideen ein konzipierst eigene Kampagnen- und Creative-Konzepte - Du übernimmst kleinere Growth-Projekte oder Teilprojekte und begleitest diese von der Konzeption bis zur Umsetzung - Du unterstützt das Team bei ad-hoc Projekten und im Tagesgeschäft DEIN PROFIL - Du bist aktuell in einem Bachelor- oder Masterstudium in einer Top Tier Business School eingeschrieben, idealerweise im Bereich Wirtschaft, Marketing oder einem verwandten Studiengang - Du hast erste praktische Erfahrungen durch Praktika oder Werkstudententätigkeiten, z. B. in Startups, im Marketing, Business Development, Project Management oder Consulting - Du bringst Kreativität mit und hast Freude daran, neue Ideen zu entwickeln und umzusetzen - Du arbeitest analytisch, strukturiert und eigenständig - Du überzeugst durch eine proaktive und lösungsorientierte Denkweise - Du hast Spaß an Kommunikation und Zusammenarbeit mit unterschiedlichen Stakeholdern - Du interessierst dich für Entrepreneurship, Marketing und Wachstumsthemen - Du kannst Aufgaben priorisieren und behältst auch in einem dynamischen Umfeld den Überblick - Du hast einen hohen Qualitätsanspruch an deine Arbeit und bist motiviert, Verantwortung zu übernehmen - Du verfügst über sehr gute Deutsch- und Englischkenntnisse Du bist interessiert, auch wenn du nicht alle Anforderungen erfüllst? Bewirb dich trotzdem! Wir freuen uns darauf, dein Potenzial zu entdecken - unabhängig davon, ob deine Erfahrung jede einzelne Voraussetzung erfüllt. ☀️ DARAUF KANNST DU DICH FREUEN - Arbeite in Deutschlands erstem grünen Unicorn - Gestalte aktiv die solare Energiewende mit. - Die Sonne scheint auf der ganzen Welt - Bei Enpal arbeitest du mit einem hochmotivierten, diversen Team aus über 65 Nationalitäten. - Das ideale Setup für deinen Fokus - Wir sind überzeugt, dass exzellente Ergebnisse dort entstehen, wo die Bedingungen stimmen. Deshalb setzen wir auf ein hybrides Arbeitskonzept, das dir die Freiheit gibt, immer genau so zu arbeiten, wie es am besten zu deinen Aufgaben passt. Du brauchst neue Impulse auf internationalem Niveau? Mit Workflex bieten wir, abhängig von deiner Verantwortung, die Möglichkeit, deine Tätigkeit bis zu 30 Tage im Jahr ins Ausland zu verlegen. - Grown-up Business & Startup Spirit - In unserem modernen Office in Berlin-Friedrichshain findest du von höhenverstellbaren Tischen, Tischtennisplatte bis gefüllten Getränkekühlschränken und Barista-Coffee alles was das Herz begehrt. - Dein Kick-start bei Enpal - Onboarding-Tag mit Welcome Bag, Buddy-Programm und einem Team, das dich wirklich abholt. - Bleib auf dem Laufenden & gestalte mit - Transparente All-Hands, kurze Entscheidungswege und eine offene Feedback-Kultur, denn ohne Fehler gibt es keinen Fortschritt. - Energiewende geht nur gemeinsam - Bei Enpal erwartet dich ein legendärer Teamspirit und unvergessliche Team- und Companyevents. - Dein Extra-Boost - 29 + 2 Urlaubstage, vergünstigte Mitgliedschaft bei Wellhub und Corporate Benefits. Alles, was dir hilft, Arbeit und Leben gut zu verbinden. Wir bei Enpal sind stolz auf die Vielfältigkeit unseres Teams. Weder bei der Einstellung noch während des Beschäftigungsverhältnisses werden Entscheidungen auf Basis von Hautfarbe, Religion oder religiösen Glaubens, ethnischer oder nationaler Herkunft, Nationalität, Geschlechteridentität, sexuelle Orientierung, Behinderung oder Alter getroffen. Enpal steht für einen sicheren Arbeitsplatz und geht gegen Diskriminierung und Belästigung jeglicher Art vor.", "summaryDescription" : "Working Student Marketing (w/m/d) at Enpal. Skills: Performance Marketing, Campaign Optimization, Creative Concepts, Growth Projects. Support operational initiatives. Support strategic initiatives", "createdAt" : "2026-06-16T00:28:56.942", "lastUpdated" : "2026-06-16T12:01:16.683", "ingestTimestamp" : "2026-06-16T00:28:56.942", "mongoId" : "6a3050a0f292fd229cef2fdd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI-generated ads", "Creative development", "Analytical", "Structured", "Independent", "Solution-oriented", "Prioritization", "Performance Marketing", "Campaign Optimization", "Creative Concepts", "Growth Projects", "Paid Marketing", "Campaign Management", "Landing Page Optimization", "Project Management", "Energy Market", "Decentralized Energy", "Solar Energy", "Battery Storage", "Electric Vehicles", "AI Platform", "Marketing", "Growth Topics", "Entrepreneurship", "AI Tools" ], "skillCount" : 25, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a849bc74574cbbb4ef9", "title" : "Senior Data Associate with German", "company" : "Evi Technologies Limited", "industry" : "Administrative Support, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Associate in London, UK, with adjustments for the technology industry and seniority level." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T01:31:45.666", "fingerprint" : "ebdae6b52b91b4a75431d72294d8bda21ab234513565609f40bba50ed10783aa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3192981/apply", "externalId" : "1cf0a3d0-ff1f-4c37-aa70-629c69300760", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine Learning, ML", "professionalSkills" : [ "Data labelling", "Dialogue evaluation", "Subject matter expert" ], "hardSkillsList" : [ "Data execution process", "Root cause analysis", "Error pattern identification", "Process improvement" ], "softSkillsList" : [ "Logical decisions", "Eye for detail", "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Data execution process", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical decisions" }, { "name" : "Eye for detail" }, { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data labelling, ML workflows", "majorSkillsList" : [ "Data labelling", "ML workflows" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Use in-house tools and software, Research responses, Rank responses, Create grammatically correct text, Perform speech annotation, Perform image annotation, Perform video annotation, Make logical decisions, Pivot from one category to another, Support daily operational deliverables, Handle end to end data execution, Identify error patterns, Identify solutions to improve quality, Identify process and operational issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "teamCollaboration" : "Diverse team; Regular meetings; Amazon events", "projectManagementSkills" : [ "Project coordination" ], "domainKnowledge" : "Generative AI; Large language models; Human-technology interaction; ML data workflows; Alexa performance", "domainList" : [ "generative-ai", "large-language-models", "human-technology-interaction", "ml-data-workflows", "alexa-performance" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "Human-technology interaction", "ML data workflows", "Alexa performance" ], "toolProficiency" : [ "In-house tools", "Business applications" ], "communicationSkills" : "Business writing; Create reports; Create proposals; Professional correspondence", "continuousLearning" : "Trainings", "innovationCreativity" : "Think out of the box; Make the box bigger; Individuality; Creative mind", "problemSolvingSkills" : "Analytical thinking; Structured problem-solving; Root cause analysis", "outcomesObjectives" : "Meet our KPIs; Improve quality of labelling tasks; Improve Alexa's performance", "qualificationsBasic" : "Bachelor's degree or equivalent work experience, CEFR C1+ German fluency, CEFR B2+ English fluency, Business writing skills, Advanced reading comprehension, Developed analytical thinking, Structured problem-solving capabilities, Interpret and implement detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor's degree in relevant field, Demonstrated task execution ability, Leverage open-source resources, Adapt to fast-paced environments, Project coordination experience, Manage stakeholder relationships, Advanced Microsoft Office Suite proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Basic Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - CEFR C1+ or equivalent fluency in German language - Written and spoken knowledge of English is essential (CEFR B2+) - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. 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" : "Senior Data Associate with German at Evi Technologies Limited. Skills: Data labelling, ML workflows. Maintain strict confidentiality. Work with different data types", "postedDate" : "2026-06-13T07:29:47.889", "createdAt" : "2026-06-13T07:29:47.889", "lastUpdated" : "2026-06-15T01:31:45.666", "ingestTimestamp" : "2026-06-13T07:29:47.889", "mongoId" : "69c94a849bc74574cbbb4ef9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3192981/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data execution process", "Root cause analysis", "Error pattern identification", "Process improvement", "Logical decisions", "Eye for detail", "Individuality", "Creative mind", "Data labelling", "ML workflows", "Dialogue evaluation", "Subject matter expert", "Project coordination", "Generative AI", "Large language models", "Human-technology interaction", "ML data workflows", "Alexa performance", "In-house tools", "Business applications" ], "skillCount" : 20, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca43874d8ee00a09b0bea", "title" : "Content Creator Working Student", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 16.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T10:00:56.099", "fingerprint" : "e002fd5ea55c243001540e633c3d635e18a5ba9d2855a6c687d1d3119e7ee2aa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=7238242", "externalId" : "7238242", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "majorSkills" : "Content creation, Social media", "majorSkillsList" : [ "Content creation", "Social media" ], "coreResponsibilities" : "Ontwikkelen van engaging content, Creëren en editen van UGC-video’s, Helpen opbouwen community creators", "domainKnowledge" : "Social trends; Paid social advertenties", "domainList" : [ "social-trends", "paid-social-advertenties" ], "domainSpecificKnowledge" : [ "Social trends", "Paid social advertenties" ], "communicationSkills" : "Schrijven van captions", "continuousLearning" : "Persoonlijke groeikansen; Lepaya-cursussen; Academy-trainingen; Professionele psychologen; Diverse trainingen", "innovationCreativity" : "Creatieve ideeën", "qualificationsBasic" : "Vloeiend Nederlands en Engels, Minimaal 3 dagen per week beschikbaar", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In een notendop Kom bij Picnic en maak content! Picnic is de snelst groeiende online supermarkt ter wereld en maakt boodschappen doen simpel, leuk, duurzaam en betaalbaar voor iedereen. Wij zoeken een creatieve en energieke Content Creator Working Student om onze aanwezigheid op onze socials te laten groeien. Je maakt boeiende content: van behind-the-scenes momenten tot trending content. Jouw werk wordt niet alleen op onze social kanalen gedeeld, maar kan ook worden ingezet in social ads. De kunst van het vak Virale content: Ontwikkelen van engaging content met viral potentieel, zoals behind-the-scenes snippets en andere social trends UGC-video's: Creëren en editen van User-Generated Styled Content (UGC) video’s die ook gebruikt kunnen worden voor paid social advertenties Creator community: Een community van content creators binnen Picnic helpen opbouwen Over jou... Gepassioneerd over content creatie en social media, altijd op de hoogte van de laatste trends Handig met je telefoon en kunt snel video’s schieten en editen Sterk in het schrijven van pakkende captions en teksten Sociaal, enthousiast en vol creatieve ideeën Je spreekt vloeiend Nederlands en Engels Minimaal 3 dagen per week beschikbaar Picnic perks \uD83E\uDD57Verse lunch, koffie en snacks Op kantoor hebben we een koffiebar met eigen barista's, chefs die dagelijks een heerlijke, verse lunch bereiden en snacks en fruit zodat je energie op pijl blijft! ✍\uD83C\uDFFC Learning & development Bij Picnic krijg je alle ruimte om jezelf verder te ontwikkelen. We bieden persoonlijke groeikansen met Lepaya-cursussen, Academy-trainingen en meer. Werk je liever aan je mentale welzijn? Via OpenUp krijg je gratis toegang tot professionele psychologen en diverse trainingen. \uD83D\uDCB0Aantrekkelijk pakket Je ontvangt een bruto uurloon van €16.75, samen met een laptop en telefoon om je werk te ondersteunen. Afhankelijk van je woonplaats kunnen ook je reiskosten worden vergoed. Ben jij klaar om jouw creativiteit in te zetten en mee te bouwen aan het werkgeversmerk van Picnic? Solliciteer nu en start met creëren!", "summaryDescription" : "Content Creator Working Student at Picnic. Skills: Content creation, Social media. Ontwikkelen van engaging content. Creëren en editen van UGC-video’s", "postedDate" : "2026-06-14T09:16:37.973", "createdAt" : "2026-06-14T09:16:37.973", "lastUpdated" : "2026-06-15T10:00:56.099", "ingestTimestamp" : "2026-06-14T09:16:37.973", "mongoId" : "6a2ca43874d8ee00a09b0bea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Content creation", "Social media", "Social trends", "Paid social advertenties" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2eb80a74d8ee00a0e85e9f", "title" : "Working student", "company" : "NIBC", "industry" : "Banking", "salary" : { "min" : 14000.0, "max" : 22000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level working students in the banking industry in the Netherlands, adjusted for part-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T01:02:20.989", "fingerprint" : "5329595afb2687c533b50209eb8921e3686f4579a32d6d937a9204c3a717a59e", "source" : "workday", "language" : "en", "applyUrl" : "https://nibcatwork.wd3.myworkdayjobs.com/External/job/The-Hague/Working-student-Agentic-AI_R0001740", "externalId" : "R0001740", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "employmentType" : "PART_TIME", "technicalSkills" : "Microsoft Copilot Studio, Power Automate", "hardSkillsList" : [ "Process automation", "Agentic process development" ], "hardSkills" : [ { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Agentic process development", "level" : "intermediate" } ], "majorSkills" : "AI Agentic Automation, Low-code/No-code", "majorSkillsList" : [ "AI Agentic Automation", "Low-code/No-code" ], "coreResponsibilities" : "Explore agentic processes, Design agentic processes, Build agentic processes, Create AI agents, Configure AI agents, Design automated processes, Streamline repetitive tasks, Experiment with no-code/low-code solutions, Prototype agentic processes, Deploy agentic processes, Document agent workflows, Document best practices, Contribute ideas for automation", "teamCollaboration" : "Internal experts in data engineering, analytics, AI, and automation", "domainKnowledge" : "Agentic AI; AI automation", "domainList" : [ "agentic-ai", "ai-automation" ], "domainSpecificKnowledge" : [ "Agentic AI", "AI automation" ], "documentationSkills" : "Document agent workflows; Document best practices", "innovationCreativity" : "Contribute ideas for innovative ways to apply automation", "problemSolvingSkills" : "Analytical", "outcomesObjectives" : "Improve operational efficiency; Increase productivity; Improve user experience", "qualificationsBasic" : "Pursuing a degree in Computer Science, Information Management, AI, Data Science, Engineering, or related", "qualificationsPreferred" : "Experience with Power Automate, Copilot Studio, or similar tools is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary: AI Agentic Automation – Low-Code / No-Code. Job Description: _**What will you do?**_ As an AI Agentic Automation working student within the Data & Analytics department, you will help explore, design, and build agentic processes that improve operational efficiency across the organization. You will gain hands-on experience with low-code and no-code tools such as Microsoft Copilot Studio, Power Automate, and other automation platforms. Examples include: * Creating and configuring AI agents to support internal procedures and data-driven workflows; * Designing automated processes that streamline repetitive tasks for various teams and departments; * Experimenting with no-code/low-code solutions to rapidly prototype and deploy agentic process enhancements; * Documenting agent workflows and best practices to ensure smooth adoption and scalability; * Contributing ideas for innovative ways to apply automation to increase productivity and improve user experience. _**Your team**_ You will join a driven and close-knit team focused on collaboration and growth. You will be guided by internal experts in data engineering, analytics, AI, and automation, who will support you in your exploration of agentic process development. **_NIBC as an IT employer_** NIBC IT consists out of several domains and together NIBC IT aims to be one of the driving forces behind the digital transformation of our bank, an ongoing process that will profoundly change the relationship with our clients and the way we do business. We are closely connected and have short lines of communication. If you have a good idea today, you may be elaborating it tomorrow. IT is forever changing and so is NIBC and in order for us to be able to keep on changing, we need sophisticated individuals to help us lead the bank into the future. ** _NIBC as organization_** Founded in 1945 to finance the visionary entrepreneurs who helped rebuilding the Netherlands after the second World War, NIBC was closely collaborating while professionally supporting companies and individuals in realizing their dreams and goals with a sustainable future in mind. As a multicultural midsize bank with a working environment that is best described as dynamic and ambitious, we share a forward-thinking, can-do attitude with our employees and clients which we call our THINK YES mentality. Our corporate values are Professional, Adaptive, Collaborative and Entrepreneurial. You will have a direct and meaningful impact on both the bank and its clients. By building our company on optimism and mutual trust, and with our THINK YES mentality, NIBC is an enterprising bank that enables ambitions. _**What do you bring?**_ * An ambitious intern who is eager to explore AI-driven automation and develop agentic solutions that enhance organizational efficiency; * You are pursuing a degree in Computer Science, Information Management, AI, Data Science, Engineering, or a related field; * You have an affinity for low-code/no-code development, process automation, or AI workflows; * You are proactive, analytical, and curious about how automation can improve everyday work; * Experience with Power Automate, Copilot Studio, or similar tools is a plus — but not required. **_Still intrigued?_** Click the apply button now! To upload multiple documents, click the upload button again after uploading a document. An assessment may be part of the application procedure. For more information about the recruitment procedure or NIBC as employer you may contact our HR Servicedesk via [AskHR@nibc.com](mailto:AskHR@nibc.com) _Applications via email will not be taken into consideration._", "summaryDescription" : "Working student at NIBC. Skills: AI Agentic Automation, Low-code/No-code. Explore agentic processes. Design agentic processes", "postedDate" : "2026-06-12T21:16:31.094", "createdAt" : "2026-06-14T21:16:31.052", "lastUpdated" : "2026-06-16T01:02:20.989", "ingestTimestamp" : "2026-06-14T21:16:31.052", "mongoId" : "6a2eb80a74d8ee00a0e85e9f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nibcatwork.wd3.myworkdayjobs.com/External/job/The-Hague/Working-student-Agentic-AI_R0001740", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Process automation", "Agentic process development", "AI Agentic Automation", "Low-code/No-code", "Agentic AI", "AI automation" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.92 }, { "id" : "69fda4e24c40e2acd1b9971a", "title" : "AI Data Associate with Dutch", "company" : "Evi Technologies Limited", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 30000.0, "max" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Data Associate in London, UK, adjusted for the technology industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T06:30:57.980", "fingerprint" : "0033710fa81dccb0ebeb77bbfae68ee1fbc7cba50d2c9c4645b0dfb0d797d5d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413756/apply", "externalId" : "441852d8-12ff-4c45-b57a-b568cb0fb7da", "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", "hardSkillsList" : [ "Data labeling", "Dialogue evaluation", "Root cause analysis", "Error pattern identification" ], "softSkillsList" : [ "Analytical thinking", "Structured problem-solving", "Attention to detail", "Judgment", "Logical decision making", "Individuality", "Creativity" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Structured problem-solving" }, { "name" : "Attention to detail" }, { "name" : "Judgment" }, { "name" : "Logical decision making" }, { "name" : "Individuality" }, { "name" : "Creativity" } ], "majorSkills" : "Data labeling, AI development, LLM deployment", "majorSkillsList" : [ "Data labeling", "AI development", "LLM deployment" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different types of data, Deliver high-quality labelled data, Meet KPIs, Generate high quality human insight data, Make sound judgments, Make logical decisions, Demonstrate support on daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions to enhance quality, Identify process and operational issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Generative AI; Large language models; Human-technology interaction", "domainList" : [ "generative-ai", "large-language-models", "human-technology-interaction" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "Human-technology interaction" ], "toolProficiency" : [ "In-house tools", "Business applications" ], "communicationSkills" : "Business writing; Professional correspondence", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Root cause analysis; Error pattern identification; Structured problem-solving", "specialRequirements" : "Fixed term contract (12 months), Work from London office 5 days a week", "outcomesObjectives" : "Meet KPIs", "qualificationsBasic" : "Associate’s Degree or related work experience, CEFR C1+ fluency in Dutch, Written and spoken knowledge of English (CEFR B2+), business writing skills, Advanced reading comprehension, Developed analytical thinking, structured problem-solving capabilities, ability to interpret and implement detailed instructions", "qualificationsPreferred" : "Bachelor’s degree in a relevant field, Proven experience with demonstrated task execution ability, Proven capacity to leverage open-source resources, Ability to adapt well to fast-paced environments, Proven project coordination or management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. - Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - An Associate’s Degree or related work experience - CEFR C1+ fluency in Dutch language - Written and spoken knowledge of English is essential (CEFR B2+) - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. 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" : "AI Data Associate with Dutch at Evi Technologies Limited. Skills: Data labeling, AI development, LLM deployment. Maintain strict confidentiality. Work with different types of data", "postedDate" : "2026-06-13T10:09:01.289", "createdAt" : "2026-06-13T10:09:01.289", "lastUpdated" : "2026-06-15T06:30:57.980", "ingestTimestamp" : "2026-06-13T10:09:01.289", "mongoId" : "69fda4e24c40e2acd1b9971a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413756/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data labeling", "Dialogue evaluation", "Root cause analysis", "Error pattern identification", "Analytical thinking", "Structured problem-solving", "Attention to detail", "Judgment", "Logical decision making", "Individuality", "Creativity", "AI development", "LLM deployment", "Generative AI", "Large language models", "Human-technology interaction", "In-house tools", "Business applications" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" } ], "status" : 200, "message" : "working with distributed data processing frameworks such as spark jobs", "metadata" : { "title" : "working with distributed data processing frameworks such as spark" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 30207, "totalPages" : 605, "hasNext" : true, "hasPrevious" : false } }

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