{ "count" : 203097, "data" : [ { "id" : "6a21a33a74d8ee00a0ca52cf", "title" : "Senior Azure Data Engineer", "company" : "DATAMAXIS", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Azure Data Engineer in Springfield, United States, adjusted for the technology industry and contract employment type." }, "location" : "Springfield, IL", "locations" : [ "Springfield", "IL" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T03:29:41.921", "fingerprint" : "c7b06b54e3fed926c50b915c368c12c0a50d4e6875d5c77162e5c6f4b07f0615", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamaxis.breezy.hr/p/bc63bc2c810a-senior-azure-data-engineer", "externalId" : "bc63bc2c810a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Springfield", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7990175,-89.6439575" } ], "locationText" : "Springfield, Illinois, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, SQL, Python, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS S3, AWS Glue, AWS SageMaker, AWS Athena, GCP Vertex AI, Azure Synapse, Azure ML Studio", "professionalSkills" : [ "Data modeling", "System design", "Data architecture" ], "hardSkillsList" : [ "Data pipeline development", "Data warehousing", "ETL development", "Data modeling", "Statistical analysis", "Machine learning", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Azure, Data pipelines, Machine learning", "majorSkillsList" : [ "Data engineering", "Azure", "Data pipelines", "Machine learning" ], "coreResponsibilities" : "Design enterprise data platform, Build enterprise data platform, Operate enterprise data platform, Own end-to-end delivery, Deliver data pipelines, Deliver data products, Power analytics, Power regulatory reporting, Power operational dashboards", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Enterprise data platforms; Microsoft Azure; Cloud data stacks; ML frameworks; BI platforms; Data warehousing concepts", "domainList" : [ "enterprise-data-platforms", "microsoft-azure", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-warehousing-concepts" ], "domainSpecificKnowledge" : [ "Enterprise data platforms", "Microsoft Azure", "Cloud data stacks", "ML frameworks", "BI platforms", "Data warehousing concepts" ], "toolProficiency" : [ "Dbt Cloud" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "rawDescription" : "Job Summary: We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and e", "summaryDescription" : "Senior Azure Data Engineer at DATAMAXIS. Skills: Data engineering, Azure, Data pipelines, Machine learning. Design enterprise data platform. Build enterprise data platform", "createdAt" : "2026-06-13T23:59:48.372", "lastUpdated" : "2026-06-15T03:29:41.921", "ingestTimestamp" : "2026-06-13T23:59:48.372", "mongoId" : "6a21a33a74d8ee00a0ca52cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data warehousing", "ETL development", "Data modeling", "Statistical analysis", "Machine learning", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data engineering", "Azure", "Data pipelines", "System design", "Data architecture", "Enterprise data platforms", "Microsoft Azure", "Cloud data stacks", "ML frameworks", "BI platforms", "Data warehousing concepts", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1368.9559, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a5eef292fd229c12ca62", "title" : "Senior Data Engineer", "company" : "Blend360", "industry" : "Marketing And Advertising", "salary" : { "min" : 1750000.0, "max" : 2750000.0, "currency" : "UYU", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in Montevideo, Uruguay, adjusted for seniority and industry." }, "location" : "Montevideo, Montevideo Department, UY", "locations" : [ "Montevideo", "Montevideo Department", "UY" ], "certifications" : [ "AWS Certified", "Databricks Certified", "Snowflake Certified", "GCP Professional Data Engineer", "AWS Data Analytics", "Dbt Certified" ], "timestamp" : "2026-06-16T11:46:59.036", "fingerprint" : "5a7744fcb819530811f2f3c0bb4f35dd8f28327be8770cc67efab60dab260712", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Blend360/744000132290369-senior-data-engineer", "externalId" : "744000132290369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montevideo", "country" : "Uruguay", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-34.9058916,-56.1913095" } ], "locationText" : "Montevideo, Uruguay", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Databricks, Spark, PySpark, SQL, GitHub, DBT, Delta Lake, AWS, Snowflake", "professionalSkills" : [ "Data modeling", "Component design", "Code refactoring", "Data transformation" ], "hardSkillsList" : [ "Data pipeline development", "Data modeling", "Code optimization", "Data processing", "Data transformation", "Data quality management", "Performance optimization", "Reliability engineering" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Code optimization", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data Engineering, Azure Databricks, Data Pipelines, Data Modeling", "majorSkillsList" : [ "Data Engineering", "Azure Databricks", "Data Pipelines", "Data Modeling" ], "coreResponsibilities" : "Design data pipelines, Develop data pipelines, Optimize data pipelines, Refactor legacy code, Simplify maintenance, Simplify updates, Simplify reuse, Build modular code components, Build reusable code components, Consolidate KPIs, Consolidate metrics, Consolidate attributes, Build scalable data models, Maintain scalable data models, Ensure data quality, Ensure performance, Ensure reliability, Collaborate with analytics teams, Collaborate with engineering teams, Improve data processes, Improve data architecture", "teamCollaboration" : "Analytics teams; Data science teams; Business teams; Engineering teams; Cross-functional environments", "domainKnowledge" : "AI services; Data science; Artificial intelligence; Data-driven strategy; Medallion Architecture; Journey analytics", "domainList" : [ "ai-services", "data-science", "artificial-intelligence", "data-driven-strategy", "medallion-architecture", "journey-analytics" ], "domainSpecificKnowledge" : [ "AI services", "Data science", "Artificial intelligence", "Data-driven strategy", "Medallion Architecture", "Journey analytics" ], "toolProficiency" : [ "Databricks", "GitHub", "Spark", "DBT", "Azure" ], "continuousLearning" : "AI learning paths; Study plans; Courses; Udemy Business; English lessons; Mentorship programs", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Deliver reliable data solutions; Deliver high-performance data solutions; Enable data-driven decision-making", "qualificationsBasic" : "4+ years of experience in Data Engineering, Solid experience with Databricks, Experience working with GitHub repositories, Hands-on experience developing data pipelines in Azure Databricks, Experience with SQL, Experience with large-scale data processing, Proven experience refactoring legacy codebases, Hands-on experience with Apache Spark, Experience working with DBT, Understanding of data modeling, Understanding of reusable component design, Experience building scalable data models, Focus on data quality, Focus on performance, Focus on reliability", "qualificationsPreferred" : "PySpark preferred, Medallion Architecture understanding, Certifications in AWS, Databricks certification, Snowflake certification, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data-driven decision-making. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments. Responsibilities * Design, develop, and optimize end-to-end data pipelines using Azure Databricks * Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases. * Design and build modular, reusable code components to support multiple journeys and reduce duplication. * Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. * Build and maintain scalable data models to support current and future journey analytics use cases. * Ensure data quality, performance, and reliability across data pipelines and analytics datasets. * Collaborate with analytics and engineering teams to improve data processes and architecture. ## Qualifications * 4+ years of experience in Data Engineering. * Solid experience with Databricks. * Strong experience working with GitHub repositories and version control workflows. * Hands-on experience developing and maintaining data pipelines in Azure Databricks. * Strong experience with SQL and large-scale data processing. * Proven experience refactoring and maintaining legacy codebases. * Hands-on experience with Apache Spark (PySpark preferred). * Experience working with DBT for data transformation and modeling. * Strong understanding and hands-on experience with Medallion Architecture (Bronze, Silver, Gold). * Strong understanding of data modeling and reusable component design. * Experience building scalable data models for analytics and reporting use cases. * Strong focus on data quality, performance, and reliability. * Ability to work in cross-functional environments and contribute to continuous improvement. * Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision. ## Additional Information Our Perks and Benefits: \uD83D\uDCDA Learning Opportunities: * Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. * Access to AI learning paths to stay up to date with the latest technologies. * Study plans, courses, and additional certifications tailored to your role. * Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. * English lessons to support your professional communication. \uD83D\uDEEB Travel opportunities to attend industry conferences and meet clients. \uD83D\uDC69‍\uD83C\uDFEB Mentoring and Development: * Career development plans and mentorship programs to help shape your path. \uD83C\uDF81 Celebrations & Support: * Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. * Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.", "summaryDescription" : "Senior Data Engineer at Blend360. Skills: Data Engineering, Azure Databricks, Data Pipelines, Data Modeling. Design data pipelines. Develop data pipelines", "postedDate" : "2026-06-15T21:55:11.000", "createdAt" : "2026-06-16T03:34:25.896", "lastUpdated" : "2026-06-16T11:46:59.036", "ingestTimestamp" : "2026-06-16T03:34:25.896", "mongoId" : "6a30a5eef292fd229c12ca62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data modeling", "Code optimization", "Data processing", "Data transformation", "Data quality management", "Performance optimization", "Reliability engineering", "Mentoring", "Data Engineering", "Azure Databricks", "Data Pipelines", "Data Modeling", "Component design", "Code refactoring", "AI services", "Data science", "Artificial intelligence", "Data-driven strategy", "Medallion Architecture", "Journey analytics", "AWS Certified", "Databricks Certified", "Snowflake Certified", "GCP Professional Data Engineer", "AWS Data Analytics", "Dbt Certified", "Databricks", "GitHub", "Spark", "DBT", "Azure" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1243.463, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306470f292fd229cfa182e", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior DevOps Engineer in Brașov, Romania, adjusted for industry and company size." }, "location" : "Brașov, BV, RO", "locations" : [ "Brașov", "BV", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T12:21:05.568", "fingerprint" : "4d5664af2efc227b8b95d38d64f8e1ffb08a146041d1b2409eeb1db963bd29a9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132153850-senior-devops-engineer-azure-", "externalId" : "744000132153850", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brașov", "state" : "Brașov", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.6525105,25.6105654" } ], "locationText" : "Brașov, Brașov, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkins, Bash, Python", "professionalSkills" : [ "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Scripting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "DevOps pipelines", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "IaC automation", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud environments, Optimize cloud environments, Automate deployments with Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Resolve infrastructure issues, Resolve deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability, Provide input on security, Provide input on efficiency, Provide input on scalability", "teamCollaboration" : "Client teams; Development teams", "domainKnowledge" : "DevOps practices; Cloud infrastructure; Containerization; Infrastructure as Code", "domainList" : [ "devops-practices", "cloud-infrastructure", "containerization", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "DevOps practices", "Cloud infrastructure", "Containerization", "Infrastructure as Code" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkins" ], "communicationSkills" : "Team communication; Client interaction", "continuousLearning" : "Certifications; Online learning platforms", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ Years of experience, Azure infrastructure management, Terraform for infrastructure provisioning, Kubernetes for container orchestration, GitLab, Jenkins, or CI/CD tool knowledge, Bash, Python, or similar scripting skills, Problem-solving and troubleshooting abilities, Communication and teamwork skills, Experience in project discovery sessions, Experience leading teams", "qualificationsPreferred" : "Azure certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T09:27:13.000", "createdAt" : "2026-06-16T00:11:37.635", "lastUpdated" : "2026-06-16T12:21:05.568", "ingestTimestamp" : "2026-06-16T00:11:37.635", "mongoId" : "6a306470f292fd229cfa182e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Scripting", "Leadership", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security", "DevOps practices", "Cloud infrastructure", "Containerization", "Infrastructure as Code", "Azure certifications", "GitLab", "Jenkins" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1242.2179, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30544ff292fd229cf1721c", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior DevOps Engineer (Azure) in Brașov, Romania, adjusted for seniority and industry." }, "location" : "Brașov, BV, RO", "locations" : [ "Brașov", "BV", "RO" ], "timestamp" : "2026-06-16T08:38:57.546", "fingerprint" : "36f01c6a4c4d105c1b560586e9ad9727a041856ed6e7b0abd2e2f07300bf5357", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132153850-senior-devops-engineer-azure-", "externalId" : "744000132153850", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brașov", "state" : "Brașov", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.6525105,25.6105654" } ], "locationText" : "Brașov, Brașov, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkins, Bash, Python", "professionalSkills" : [ "Infrastructure provisioning", "Container orchestration", "DevOps pipelines", "CI/CD processes", "Cloud environments", "IaC automation", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "Scripting", "Troubleshooting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud environments, Optimize cloud environments, Automate deployments with Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Resolve infrastructure issues, Resolve deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability, Provide input on security, Provide input on efficiency, Provide input on scalability", "teamCollaboration" : "Client teams; Development teams; Team interaction", "domainKnowledge" : "Cloud-based environments; Containerized applications", "domainList" : [ "cloud-based-environments", "containerized-applications" ], "domainSpecificKnowledge" : [ "Cloud-based environments", "Containerized applications" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkins" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Certifications; Online learning platforms; Internal tech communities; Training", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ Years of experience, Azure infrastructure management, Terraform for infrastructure provisioning, Kubernetes for container orchestration, GitLab, Jenkins, or CI/CD tool knowledge, Bash, Python, or similar scripting skills, Problem-solving and troubleshooting abilities, Teamwork skills, Experience leading teams", "qualificationsPreferred" : "Azure certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T09:27:13.000", "createdAt" : "2026-06-15T23:31:32.702", "lastUpdated" : "2026-06-16T08:38:57.546", "ingestTimestamp" : "2026-06-15T23:31:32.702", "mongoId" : "6a30544ff292fd229cf1721c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Scripting", "Troubleshooting", "Leadership", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure provisioning", "Container orchestration", "DevOps pipelines", "CI/CD processes", "Cloud environments", "IaC automation", "System scalability", "System reliability", "System security", "Cloud-based environments", "Containerized applications", "GitLab", "Jenkins" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1242.2179, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306470f292fd229cfa182f", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior DevOps Engineer in Iași, Romania, adjusted for industry and company size." }, "location" : "Iași, IS, RO", "locations" : [ "Iași", "IS", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T11:11:06.697", "fingerprint" : "9e9c9b93bedf9e6d2624707e2bc59b72bb24d29bf1a7258f1851f2a020472e71", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132154155-senior-devops-engineer-azure-", "externalId" : "744000132154155", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Iași", "state" : "Iași", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.1615598,27.5837814" } ], "locationText" : "Iași, Iași, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkis, Bash, Python", "professionalSkills" : [ "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "Scripting", "Troubleshooting" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud-based environments, Optimize cloud-based environments, Utilize Terraform for IaC, Automate deployments, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Resolve infrastructure issues, Troubleshoot deployment issues, Resolve deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability, Provide input on security, Provide input on efficiency, Provide input on scalability", "teamCollaboration" : "Client teams; Development teams; Team and client interaction", "domainKnowledge" : "Cloud-based environments; IaC; Containerized applications", "domainList" : [ "cloud-based-environments", "iac", "containerized-applications" ], "domainSpecificKnowledge" : [ "Cloud-based environments", "IaC", "Containerized applications" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkis" ], "communicationSkills" : "Client interaction", "continuousLearning" : "Internal tech communities; Training; Certifications; Coaching; Online learning platforms; Pass-it-on sessions; Workshops", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ Years of experience, Solid, hands-on experience building and managing Azure infrastructure, Proficiency with Terraform for infrastructure provisioning, Hands-on experience with Kubernetes for container orchestration, In-depth knowledge of GitLab, Jenkis, or any CI/CD tool, Excellent scripting skills (e.g., Bash, Python, or similar), Problem-solving and troubleshooting abilities, Excellent communication and teamwork skills, Experience participating in \"project discovery sessions with Stakeholders\", Experience leading teams", "qualificationsPreferred" : "Certifications in Azure are a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T09:26:57.000", "createdAt" : "2026-06-16T00:27:38.705", "lastUpdated" : "2026-06-16T11:11:06.697", "ingestTimestamp" : "2026-06-16T00:27:38.705", "mongoId" : "6a306470f292fd229cfa182f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Scripting", "Troubleshooting", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security", "Cloud-based environments", "IaC", "Containerized applications", "Azure certifications", "GitLab", "Jenkis" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1242.1997, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30544ff292fd229cf1721d", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior DevOps Engineer in Iași, Romania, adjusted for industry and company size." }, "location" : "Iași, IS, RO", "locations" : [ "Iași", "IS", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T08:33:17.851", "fingerprint" : "7daa1253fe05504fc23608f182fd8898b74633548c9ec6b7f26132e101ed4caf", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132154155-senior-devops-engineer-azure-", "externalId" : "744000132154155", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Iași", "state" : "Iași", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.1615598,27.5837814" } ], "locationText" : "Iași, Iași, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkis, Bash, Python", "professionalSkills" : [ "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "Scripting", "Troubleshooting" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud-based environments, Optimize cloud-based environments, Automate deployments, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Resolve infrastructure issues, Resolve deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability, Provide input on security, Provide input on efficiency, Provide input on scalability", "teamCollaboration" : "Client teams; Development teams; Team and client interaction", "domainKnowledge" : "Cloud-based environments; Containerized applications; DevOps pipelines; CI/CD processes", "domainList" : [ "cloud-based-environments", "containerized-applications", "devops-pipelines", "ci-cd-processes" ], "domainSpecificKnowledge" : [ "Cloud-based environments", "Containerized applications", "DevOps pipelines", "CI/CD processes" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkis" ], "communicationSkills" : "Client interaction", "continuousLearning" : "Internal tech communities; Training; Certifications; Coaching; Online learning platforms; Pass-it-on sessions; Workshops", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ Years of experience, Solid, hands-on experience building and managing Azure infrastructure, Proficiency with Terraform for infrastructure provisioning, Hands-on experience with Kubernetes for container orchestration, In-depth knowledge of GitLab, Jenkis, or any CI/CD tool, Excellent scripting skills (e.g., Bash, Python, or similar), Problem-solving and troubleshooting abilities, Excellent communication and teamwork skills, Experience participating in project discovery sessions with Stakeholders, Experience leading teams", "qualificationsPreferred" : "Certifications in Azure are a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T09:26:57.000", "createdAt" : "2026-06-15T23:31:36.716", "lastUpdated" : "2026-06-16T08:33:17.851", "ingestTimestamp" : "2026-06-15T23:31:36.716", "mongoId" : "6a30544ff292fd229cf1721d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Scripting", "Troubleshooting", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security", "Cloud-based environments", "Containerized applications", "DevOps pipelines", "Azure certifications", "GitLab", "Jenkis" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1242.1997, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306470f292fd229cfa1830", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 140000.0, "max" : 200000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior DevOps Engineer in Timișoara, Romania, adjusted for the technology industry and full-time employment." }, "location" : "Timișoara, TM, RO", "locations" : [ "Timișoara", "TM", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T12:04:20.099", "fingerprint" : "147b76c6871e241db0f772990b79dbb3c0a63b30de8b677d28aae41736b5b500", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132154089-senior-devops-engineer-azure-", "externalId" : "744000132154089", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Timișoara", "state" : "Timiș", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.7538355,21.2257474" } ], "locationText" : "Timișoara, Timiș, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkins, Bash, Python", "professionalSkills" : [ "Infrastructure architecture", "DevOps pipeline implementation", "CI/CD process improvement", "Cloud environment optimization", "Infrastructure as Code", "Container orchestration", "Repository administration", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "Scripting", "Containerization", "Infrastructure provisioning", "Orchestration" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud environments, Optimize cloud environments, Automate deployments with Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input for environment improvement, Improve environment stability, Improve environment security, Improve environment efficiency, Improve environment scalability", "teamCollaboration" : "Client teams; Development teams", "domainKnowledge" : "DevOps practices; Cloud-native architecture", "domainList" : [ "devops-practices", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "DevOps practices", "Cloud-native architecture" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkins" ], "communicationSkills" : "Client interaction", "continuousLearning" : "Certifications; Online learning platforms", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ Years of experience, Azure infrastructure management, Terraform for infrastructure provisioning, Kubernetes for container orchestration, GitLab, Jenkins, or CI/CD tool knowledge, Bash, Python, or similar scripting skills, Problem-solving and troubleshooting abilities, Communication and teamwork skills, Participate in project discovery sessions, Experience leading teams", "qualificationsPreferred" : "Azure certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T09:26:35.000", "createdAt" : "2026-06-16T00:08:03.403", "lastUpdated" : "2026-06-16T12:04:20.099", "ingestTimestamp" : "2026-06-16T00:08:03.403", "mongoId" : "6a306470f292fd229cfa1830", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Scripting", "Containerization", "Infrastructure provisioning", "Orchestration", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure architecture", "DevOps pipeline implementation", "CI/CD process improvement", "Cloud environment optimization", "Infrastructure as Code", "Container orchestration", "Repository administration", "System scalability", "System reliability", "System security", "DevOps practices", "Cloud-native architecture", "Azure certifications", "GitLab", "Jenkins" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1242.1747, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30544ff292fd229cf1721e", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior DevOps Engineer in Timișoara, Romania, adjusted for the technology industry and full-time employment." }, "location" : "Timișoara, TM, RO", "locations" : [ "Timișoara", "TM", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T10:49:39.994", "fingerprint" : "973a505066d7d1e40ed7803da81c2b3b0798a51dc62dbaa3fcddb474fa6dc8a5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132154089-senior-devops-engineer-azure-", "externalId" : "744000132154089", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Timișoara", "state" : "Timiș", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.7538355,21.2257474" } ], "locationText" : "Timișoara, Timiș, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkins, Bash, Python", "professionalSkills" : [ "Infrastructure architecture", "DevOps pipeline implementation", "CI/CD process improvement", "Cloud environment optimization", "Infrastructure as Code", "Container orchestration", "Repository administration", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "Infrastructure provisioning", "Container management", "Deployment automation", "Scripting" ], "hardSkills" : [ { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Container management", "level" : "intermediate" }, { "name" : "Deployment automation", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud environments, Optimize cloud environments, Automate deployments using Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Improve environment stability, Improve environment security, Improve environment efficiency, Improve environment scalability", "teamCollaboration" : "Client teams; Development teams", "domainKnowledge" : "DevOps practices; Cloud-native architecture", "domainList" : [ "devops-practices", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "DevOps practices", "Cloud-native architecture" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkins" ], "communicationSkills" : "Client interaction", "continuousLearning" : "Internal development programmes; Internal tech communities; Training; Certifications; Coaching; Online learning platforms; Workshops", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ Years of experience, Azure infrastructure management, Terraform for infrastructure provisioning, Kubernetes for container orchestration, GitLab, Jenkins, or CI/CD tool knowledge, Bash, Python, or similar scripting skills, Problem-solving and troubleshooting abilities, Communication and teamwork skills, Participate in project discovery sessions, Experience leading teams", "qualificationsPreferred" : "Azure certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T09:26:35.000", "createdAt" : "2026-06-15T23:31:37.641", "lastUpdated" : "2026-06-16T10:49:39.994", "ingestTimestamp" : "2026-06-15T23:31:37.641", "mongoId" : "6a30544ff292fd229cf1721e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Infrastructure provisioning", "Container management", "Deployment automation", "Scripting", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure architecture", "DevOps pipeline implementation", "CI/CD process improvement", "Cloud environment optimization", "Infrastructure as Code", "Container orchestration", "Repository administration", "System scalability", "System reliability", "System security", "DevOps practices", "Cloud-native architecture", "Azure certifications", "GitLab", "Jenkins" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1242.1747, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306470f292fd229cfa1831", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior DevOps Engineer in Bucharest, Romania, adjusted for the technology industry and a mid-size company." }, "location" : "Bucharest, Bucharest, RO", "locations" : [ "Bucharest", "Bucharest", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T09:07:16.448", "fingerprint" : "94224958930392063a74bd0ad940982f4a8dbab734103c26d6e2ab436435c577", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132141636-senior-devops-engineer-azure-", "externalId" : "744000132141636", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bucharest", "state" : "Bucharest", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.4356445,26.1009263" } ], "locationText" : "Bucharest, Bucharest, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkins, Bash, Python", "professionalSkills" : [ "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Containerized applications", "Repositories administration", "Deployment issues resolution" ], "hardSkills" : [ { "name" : "DevOps pipelines", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "IaC automation", "level" : "intermediate" }, { "name" : "Containerized applications", "level" : "intermediate" }, { "name" : "Repositories administration", "level" : "intermediate" }, { "name" : "Deployment issues resolution", "level" : "intermediate" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud environments, Optimize cloud environments, Automate deployments with Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability, Provide input on security, Provide input on efficiency, Provide input on scalability", "teamCollaboration" : "Client teams; Development teams", "domainKnowledge" : "Cloud-based environments; Container orchestration", "domainList" : [ "cloud-based-environments", "container-orchestration" ], "domainSpecificKnowledge" : [ "Cloud-based environments", "Container orchestration" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkins" ], "communicationSkills" : "Team communication; Client interaction", "continuousLearning" : "Internal tech communities; Training; Certifications; Coaching; Online learning platforms", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ years of experience, Azure infrastructure management, Terraform for provisioning, Kubernetes orchestration, GitLab, Jenkins, or CI/CD tool knowledge, Bash, Python, or similar scripting, Problem-solving abilities, Teamwork skills, Experience in project discovery sessions, Experience leading teams", "qualificationsPreferred" : "Azure certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T08:38:00.000", "createdAt" : "2026-06-15T23:55:03.361", "lastUpdated" : "2026-06-16T09:07:16.448", "ingestTimestamp" : "2026-06-15T23:55:03.361", "mongoId" : "6a306470f292fd229cfa1831", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Containerized applications", "Repositories administration", "Deployment issues resolution", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security", "Cloud-based environments", "Azure certifications", "GitLab", "Jenkins" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1238.8425, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30544ff292fd229cf1721f", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior DevOps Engineer in Bucharest, Romania, adjusted for industry and company size." }, "location" : "Bucharest, Bucharest, RO", "locations" : [ "Bucharest", "Bucharest", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T07:30:52.348", "fingerprint" : "97d47e47d90fbc6e2d84e8b3562a8eb82f62a5c8b927e18f47c26b94e74ce38a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132141636-senior-devops-engineer-azure-", "externalId" : "744000132141636", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bucharest", "state" : "Bucharest", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.4356445,26.1009263" } ], "locationText" : "Bucharest, Bucharest, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkins, Bash, Python", "professionalSkills" : [ "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Containerized applications", "Repositories administration", "Deployment issues resolution" ], "hardSkills" : [ { "name" : "DevOps pipelines", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "IaC automation", "level" : "intermediate" }, { "name" : "Containerized applications", "level" : "intermediate" }, { "name" : "Repositories administration", "level" : "intermediate" }, { "name" : "Deployment issues resolution", "level" : "intermediate" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud environments, Optimize cloud environments, Automate deployments with Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability, Provide input on security, Provide input on efficiency, Provide input on scalability", "teamCollaboration" : "Client teams; Development teams", "domainKnowledge" : "Cloud-based environments; Container orchestration; Infrastructure as Code", "domainList" : [ "cloud-based-environments", "container-orchestration", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Cloud-based environments", "Container orchestration", "Infrastructure as Code" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkins" ], "communicationSkills" : "Team communication; Client interaction", "continuousLearning" : "Internal tech communities; Training; Certifications; Coaching; Online learning platforms", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "qualificationsBasic" : "5+ years of experience, Azure infrastructure management, Terraform for provisioning, Kubernetes orchestration, GitLab, Jenkins, or CI/CD tool knowledge, Bash, Python, or similar scripting, Problem-solving abilities, Teamwork skills, Experience in project discovery sessions, Experience leading teams", "qualificationsPreferred" : "Azure certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T08:38:00.000", "createdAt" : "2026-06-15T23:31:36.955", "lastUpdated" : "2026-06-16T07:30:52.348", "ingestTimestamp" : "2026-06-15T23:31:36.955", "mongoId" : "6a30544ff292fd229cf1721f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Containerized applications", "Repositories administration", "Deployment issues resolution", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security", "Cloud-based environments", "Infrastructure as Code", "Azure certifications", "GitLab", "Jenkins" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1238.8425, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306470f292fd229cfa1832", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior DevOps Engineer (Azure) in Cluj-Napoca, Romania, adjusted for seniority and industry." }, "location" : "Cluj-Napoca, CJ, RO", "locations" : [ "Cluj-Napoca", "CJ", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T11:57:40.209", "fingerprint" : "8cf9a9df62f22eb86572317b108d258dbd831ebc89687e303573f418acf40ac1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132128275-senior-devops-engineer-azure-", "externalId" : "744000132128275", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cluj-Napoca", "state" : "Cluj", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.7693790,23.5899542" } ], "locationText" : "Cluj-Napoca, Cluj, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkis, Bash, Python", "professionalSkills" : [ "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security" ], "hardSkillsList" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Containerized applications", "Infrastructure troubleshooting", "Deployment troubleshooting" ], "hardSkills" : [ { "name" : "DevOps pipelines", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "IaC automation", "level" : "intermediate" }, { "name" : "Containerized applications", "level" : "intermediate" }, { "name" : "Infrastructure troubleshooting", "level" : "intermediate" }, { "name" : "Deployment troubleshooting", "level" : "intermediate" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement infrastructure, Maintain infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage cloud environments, Optimize cloud environments, Automate deployments with Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Resolve infrastructure issues, Resolve deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability, Provide input on security, Provide input on efficiency, Provide input on scalability", "teamCollaboration" : "Work with client teams; Promote best practices; Communication with team; Client interaction", "projectManagementSkills" : [ "Project discovery sessions" ], "domainKnowledge" : "Cloud-based environments; Infrastructure as Code", "domainList" : [ "cloud-based-environments", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Cloud-based environments", "Infrastructure as Code" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkis" ], "communicationSkills" : "Communication skills; Teamwork skills", "continuousLearning" : "Training; Certifications; Online learning platforms", "problemSolvingSkills" : "Problem-solving; Troubleshooting abilities", "outcomesObjectives" : "Ensure system scalability; Ensure system reliability; Ensure system security", "qualificationsBasic" : "5+ Years of experience, Azure infrastructure management, Terraform for infrastructure provisioning, Kubernetes for container orchestration, GitLab, Jenkis, or CI/CD tool knowledge, Bash, Python, or similar scripting, Problem-solving and troubleshooting abilities, Communication and teamwork skills, Participate in project discovery sessions, Experience leading teams", "qualificationsPreferred" : "Azure certifications are a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T07:34:23.000", "createdAt" : "2026-06-16T00:13:30.008", "lastUpdated" : "2026-06-16T11:57:40.209", "ingestTimestamp" : "2026-06-16T00:13:30.008", "mongoId" : "6a306470f292fd229cfa1832", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "DevOps pipelines", "Cloud environments", "IaC automation", "Containerized applications", "Infrastructure troubleshooting", "Deployment troubleshooting", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure provisioning", "Container orchestration", "CI/CD processes", "System scalability", "System reliability", "System security", "Project discovery sessions", "Cloud-based environments", "Infrastructure as Code", "Azure certifications", "GitLab", "Jenkis" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1234.4476, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30544ff292fd229cf17220", "title" : "Senior DevOps Engineer (Azure)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior DevOps Engineer in Cluj-Napoca, Romania, adjusted for industry and company size." }, "location" : "Cluj-Napoca, CJ, RO", "locations" : [ "Cluj-Napoca", "CJ", "RO" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T07:29:08.060", "fingerprint" : "6580cf36bab405195d8dbf44623bcdd6345fe3fbd12faacbbb9b0e6682b4b950", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132128275-senior-devops-engineer-azure-", "externalId" : "744000132128275", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cluj-Napoca", "state" : "Cluj", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.7693790,23.5899542" } ], "locationText" : "Cluj-Napoca, Cluj, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Terraform, Kubernetes, GitLab, Jenkins, Bash, Python", "professionalSkills" : [ "Infrastructure architecture", "Cloud optimization", "Container orchestration", "IaC automation", "Deployment automation", "System reliability", "System security", "System scalability" ], "hardSkillsList" : [ "Infrastructure provisioning", "Container management", "CI/CD processes", "Scripting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Container management", "level" : "intermediate" }, { "name" : "CI/CD processes", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "DevOps, Azure, Kubernetes, Terraform", "majorSkillsList" : [ "DevOps", "Azure", "Kubernetes", "Terraform" ], "coreResponsibilities" : "Architect DevOps pipelines, Implement DevOps pipelines, Maintain DevOps pipelines, Implement cloud infrastructure, Maintain cloud infrastructure, Collaborate with development teams, Improve CI/CD processes, Create CI/CD processes, Manage Azure environments, Optimize Azure environments, Automate deployments with Terraform, Orchestrate containerized applications, Manage containerized applications, Administer repositories, Maintain repositories, Administer CI/CD pipelines, Maintain CI/CD pipelines, Troubleshoot infrastructure issues, Troubleshoot deployment issues, Ensure system scalability, Ensure system reliability, Ensure system security, Provide input on stability improvements, Provide input on security improvements, Provide input on efficiency improvements, Provide input on scalability improvements", "teamCollaboration" : "Client teams; Development teams", "projectManagementSkills" : [ "Project discovery sessions" ], "domainKnowledge" : "Cloud-based environments; Containerized applications; Infrastructure as Code", "domainList" : [ "cloud-based-environments", "containerized-applications", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Cloud-based environments", "Containerized applications", "Infrastructure as Code" ], "toolProficiency" : [ "Terraform", "Kubernetes", "GitLab", "Jenkins" ], "communicationSkills" : "Client interaction", "continuousLearning" : "Training; Certifications; Online learning platforms", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "outcomesObjectives" : "Ensure system scalability; Ensure system reliability; Ensure system security", "qualificationsBasic" : "5+ Years of experience, Azure infrastructure management, Terraform for infrastructure provisioning, Kubernetes for container orchestration, GitLab, Jenkins, or CI/CD tool knowledge, Bash, Python, or similar scripting skills, Problem-solving and troubleshooting abilities, Teamwork skills, Experience in project discovery sessions, Experience leading teams", "qualificationsPreferred" : "Azure certifications are a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively. As a Senior DevOps Engineer at Endava you will be working togheter with the client teams, to enable delivery and promote best practices. Responsibilities: * Architect, implement, and maintain DevOps pipelines and infrastructure. * Collaborate with development teams to improve and create CI/CD processes. * Manage and optimize cloud-based environments in Azure. * Utilize Terraform for IaC to automate deployments. * Orchestrate and manage containerized applications using Kubernetes. * Administer and maintain any repositories and CI/CD pipelines. * Troubleshoot and resolve infrastructure and deployment issues. * Ensure system scalability, reliability, and security. * Provide input on ways to improve the stability, security, efficiency, and scalability of the environment. * Apply good communication skills with team and client interaction. ## Qualifications * +5 Years of experience * Solid, hands-on experience building and managing Azure infrastructure. * Proficiency with Terraform for infrastructure provisioning. * Hands-on experience with Kubernetes for container orchestration. * In-depth knowledge of GitLab, Jenkis, or any CI/CD tool. * Excellent scripting skills (e.g., Bash, Python, or similar). * Strong problem-solving and troubleshooting abilities. * Excellent communication and teamwork skills. * Experience participating in \"project discovery sessions with Stakeholders.” * Experience leading teams. * Certifications in Azure are a plus ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Senior DevOps Engineer (Azure) at Endava. Skills: DevOps, Azure, Kubernetes, Terraform. Architect DevOps pipelines. Implement DevOps pipelines", "postedDate" : "2026-06-15T07:34:23.000", "createdAt" : "2026-06-15T23:31:39.043", "lastUpdated" : "2026-06-16T07:29:08.060", "ingestTimestamp" : "2026-06-15T23:31:39.043", "mongoId" : "6a30544ff292fd229cf17220", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Infrastructure provisioning", "Container management", "CI/CD processes", "Scripting", "Leadership", "DevOps", "Azure", "Kubernetes", "Terraform", "Infrastructure architecture", "Cloud optimization", "Container orchestration", "IaC automation", "Deployment automation", "System reliability", "System security", "System scalability", "Project discovery sessions", "Cloud-based environments", "Containerized applications", "Infrastructure as Code", "Azure certifications", "GitLab", "Jenkins" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1234.4476, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677ac4", "title" : "Senior Data Engineer (Azure)", "industry" : "Manufacturing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Data Engineer (Azure) in Bangalore, India, adjusted for seniority, industry, and onsite work mode." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "Relevant certifications" ], "timestamp" : "2026-06-16T05:41:24.765", "fingerprint" : "bf5a3eff88d3399d27b279c4d193e19e08c41668f2d5ccf848e72571b80e0855", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=874659", "externalId" : "874659", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 9, "experienceLevel" : "Senior", "technicalSkills" : "Azure, PySpark, Python, SQL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Data quality", "Data security" ], "hardSkillsList" : [ "Data pipeline development", "ETL/ELT processes", "Dimensional modeling", "Star schema", "Snowflake schema" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "ETL/ELT processes", "level" : "intermediate" }, { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "Star schema", "level" : "intermediate" }, { "name" : "Snowflake schema", "level" : "intermediate" } ], "teamCollaboration" : "Cross-functional teams; Agile environments", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Big data technologies; Azure cloud platform", "domainList" : [ "big-data-technologies", "azure-cloud-platform" ], "domainSpecificKnowledge" : [ "Big data technologies", "Azure cloud platform" ], "toolProficiency" : [ "Azure Databricks", "Azure Data Factory", "Azure Synapse Analytics" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "6 to 9 years of professional experience, Azure Databricks experience, Cloud-based data pipeline development, ETL/ELT tools and processes, Data modeling, PySpark programming, Python programming, SQL programming, Azure SQL Data Warehouse experience, Azure Synapse experience, Azure Data Factory experience, Data governance understanding, Data quality understanding, Security best practices understanding, Analytical skills, Problem-solving skills, Communication skills, Ability to work independently, Ability to work in cross-functional teams, Agile environments experience, Managing data at scale", "qualificationsPreferred" : "Familiarity with Power BI, Agile Certifications", "remoteFriendly" : false, "rawDescription" : "Job Title: Senior Data Engineer (Azure) Location: MBRDI – BTG, Bangalore Experience: 6-9 Years About the Role: We are seeking an experienced Senior Data Engineer with a strong background in Azure-based data engineering and big data technologies to join our growing team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data analytics and business intelligence initiatives. You will collaborate closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions. Key Responsibilities: Design, develop, and maintain robust, scalable, and efficient data pipelines and ETL processes on Azure cloud platform. Build and optimize data workflows using Azure Data Factory, Databricks, Azure Synapse Analytics, and related tools. Implement data ingestion from multiple sources (databases, APIs, event streams) ensuring data quality and integrity. Collaborate with cross-functional teams to understand data requirements and deliver timely solutions. Develop and maintain data models and data warehouse solutions optimized for performance and scalability. Monitor and troubleshoot data pipeline failures, ensuring high availability and reliability. Ensure data security, compliance, and governance in line with organizational policies. Required Skills & Technologies: 6 to 9 years of professional experience in data engineering or related roles. Proven hands-on experience with Azure Databricks and cloud-based data pipeline development. Strong knowledge of ETL/ELT tools and processes , preferably within Azure ecosystems. Expertise in data modeling (star/snowflake schema, normalization, dimensional modeling). Advanced programming skills in PySpark , Python , and SQL . Experience working with Azure SQL Data Warehouse , Azure Synapse , and Azure Data Factory . Understanding of data governance , data quality , and security best practices . Familiarity with Power BI for report and dashboard development (preferred). Excellent analytical, problem-solving, and communication skills. Ability to work independently and in cross-functional teams in agile environments. Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. Relevant certifications are a plus. Demonstrated experience managing data at scale in enterprise-grade environments. Agile Certifications are a plus. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Senior Data Engineer (Azure)", "createdAt" : "2026-06-14T19:54:02.316", "lastUpdated" : "2026-06-16T05:41:24.765", "ingestTimestamp" : "2026-06-14T19:54:02.316", "mongoId" : "69ce5e3b9bc74574cb677ac4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "ETL/ELT processes", "Dimensional modeling", "Star schema", "Snowflake schema", "Data modeling", "Data governance", "Data quality", "Data security", "Agile", "Big data technologies", "Azure cloud platform", "Relevant certifications", "Azure Databricks", "Azure Data Factory", "Azure Synapse Analytics" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1193.6029, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca57974d8ee00a09b6b37", "title" : "Senior Data Engineer", "company" : "Alpha Financial Markets Consulting", "industry" : "FinTech", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in London, UK, adjusted for the FinTech industry and a large company size." }, "location" : "London, Greater London, England, United Kingdom", "locations" : [ "London", "Greater London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T08:19:10.521", "fingerprint" : "a049149c661e5143c449954e074109cb65ed6ebcdde19a0086f52dd04397c992", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphafmcroles/jobs/8438876002", "externalId" : "8438876002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Greater London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5156177,-0.0919983" } ], "locationText" : "London, Greater London, United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "MS SQL Server, Azure Synapse Analytics, PySpark, Spark SQL, Azure Data Factory, Delta Lake, SQL, Python, C#, Git, Azure DevOps", "professionalSkills" : [ "Data pipeline design", "Data transformation", "Data integrity checking", "Data quality", "Database architecture", "Query optimization", "Process modeling", "Data governance", "Stakeholder management" ], "hardSkillsList" : [ "Data pipeline optimization", "Spark SQL notebooks", "Data integrity scripts", "Automated data quality", "Data reconciliation", "Production dataset analysis", "Root cause analysis", "Database schema documentation", "Process documentation", "Visual process models", "Data transformation logic", "Calculation methodologies", "Data governance standards", "CI/CD pipeline development", "Data-driven testing" ], "softSkillsList" : [ "Problem-solving", "Investigative nature", "Pragmatic" ], "hardSkills" : [ { "name" : "Data pipeline optimization", "level" : "intermediate" }, { "name" : "Spark SQL notebooks", "level" : "intermediate" }, { "name" : "Data integrity scripts", "level" : "intermediate" }, { "name" : "Automated data quality", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Production dataset analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Database schema documentation", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" }, { "name" : "Visual process models", "level" : "intermediate" }, { "name" : "Data transformation logic", "level" : "intermediate" }, { "name" : "Calculation methodologies", "level" : "intermediate" }, { "name" : "Data governance standards", "level" : "intermediate" }, { "name" : "CI/CD pipeline development", "level" : "intermediate" }, { "name" : "Data-driven testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Investigative nature" }, { "name" : "Pragmatic" } ], "majorSkills" : "Data Engineering, Azure, SQL, Python", "majorSkillsList" : [ "Data Engineering", "Azure", "SQL", "Python" ], "coreResponsibilities" : "Design data pipelines, Build data pipelines, Optimize data pipelines, Develop Spark SQL notebooks, Maintain Spark SQL notebooks, Translate business logic into code, Create data integrity scripts, Create validation frameworks, Implement automated data quality checks, Implement reconciliation processes, Maintain curated anonymized dataset, Analyse production datasets, Identify anomalies, Debug stored procedures, Debug notebooks, Resolve data quality issues, Investigate root causes, Consult on database architecture, Optimize query performance, Optimize data processing workflows, Design solutions using Azure Data Factory, Design solutions using Delta Lake, Implement solutions using Azure Data Factory, Implement solutions using Delta Lake, Create documentation, Maintain documentation, Develop visual process models, Document data transformation logic, Document calculation methodologies, Contribute to data governance standards, Contribute to best practices, Act as first point of escalation, Partner with test automation engineers, Develop data-driven testing strategies, Create data integrity checking scripts, Collaborate across engineering teams, Support Data CoE initiatives, Support product engineering priorities", "teamCollaboration" : "Across engineering teams; With QA teams; With test automation engineers; With Data CoE; With product engineering", "projectManagementSkills" : [ "CI/CD pipeline development" ], "domainKnowledge" : "Financial data; Financial calculations; Data structures; Reconciliation processes; Audit requirements; Temporal data; Slowly changing dimensions; Historical data management; Data quality frameworks; Validation methodologies; Cloud-native architecture; Asset management", "domainList" : [ "financial-data", "financial-calculations", "data-structures", "reconciliation-processes", "audit-requirements", "temporal-data", "slowly-changing-dimensions", "historical-data-management", "data-quality-frameworks", "validation-methodologies", "cloud-native-architecture", "asset-management" ], "domainSpecificKnowledge" : [ "Financial data", "Financial calculations", "Data structures", "Reconciliation processes", "Audit requirements", "Temporal data", "Slowly changing dimensions", "Historical data management", "Data quality frameworks", "Validation methodologies", "Cloud-native architecture", "Asset management" ], "toolProficiency" : [ "MS SQL Server", "Azure Synapse Analytics", "Spark SQL", "Azure Data Factory", "Delta Lake", "Git", "Azure DevOps", "Lucidchart", "Visio", "Dbt", "Azure Purview" ], "communicationSkills" : "Articulate technical concepts", "documentationSkills" : "Database schema documentation; Process documentation; Data flow documentation; Data transformation logic documentation; Calculation methodology documentation", "continuousLearning" : "Professional development; Emerging technologies; Diverse learning opportunities; Training", "innovationCreativity" : "Innovative technology solutions", "problemSolvingSkills" : "Analytical skills; Debugging skills; Problem-solving approach; Troubleshooting complex issues", "outcomesObjectives" : "Ensure data pipelines are robust; Ensure data pipelines are performant; Ensure data pipelines are built on principles", "qualificationsBasic" : "5+ years enterprise data engineering, Proficiency in MS SQL Server, Proficiency in Azure Synapse Analytics, Hands-on experience with PySpark, Hands-on experience with Spark SQL, Hands-on experience with notebook development, Demonstrable experience with Azure ecosystem, Solid coding skills in SQL, Solid coding skills in Python, Solid coding skills in C#, Experience with Git, Experience with Azure DevOps, Experience building unit test frameworks, Experience building integration test frameworks, Experience with data quality frameworks, Experience with validation methodologies", "qualificationsPreferred" : "Experience with financial data, Experience with financial calculations, Experience with data structures, Experience with reconciliation processes, Experience with audit requirements, Experience handling temporal data, Experience with slowly changing dimensions, Experience with historical data management, Experience with anonymization techniques, Experience with masking techniques, Experience with synthetic data generation, Experience with GraphQL APIs, Experience with modern application data layers, Exposure to data visualization tools, Experience with dbt, Experience with transformation frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Aiviq Aiviq is a cutting-edge fintech company revolutionising financial services and asset management. We empower the world's leading asset managers with data-driven insights and innovative technology solutions. Our cloud-based platform transforms complex financial data into actionable intelligence, addressing critical challenges in client data quality and insights. Serving global asset managers overseeing trillions in Assets under Management, we're at the forefront of financial technology innovation. Reporting Structure Reports to: Data Centre of Excellence Team Lead Dotted line to: Head of Engineering Location: UK (Hybrid) Job Purpose We're seeking an accomplished Data Engineer to join our Data Centre of Excellence while working closely with our Engineering team on our sophisticated financial data management platform. This role combines the technical depth of enterprise data engineering with the fast-paced delivery demands of product development, requiring someone who is adept at translating business logic into code, can think architecturally while attending to implementation details. You'll be the bridge between our data architecture standards and practical product delivery, ensuring our financial data pipelines are robust, performant, and built on solid engineering principles. Key Responsibilities Data Engineering & Development Design, build, and optimize data pipelines across Microsoft SQL Server and Azure Synapse Analytics environments Develop and maintain Spark SQL notebooks for complex data transformations and analysis Translate business logic and financial calculation requirements into clear, maintainable code Create data integrity checking scripts and validation frameworks in collaboration with QA teams Implement automated data quality checks and reconciliation processes Assist with the maintenance of a curated, anonymized dataset for system testing that covers all known scenarios and edge cases Analyse production datasets to identify anomalies, debug stored procedures and notebooks, and resolve data quality issues Demonstrate tenacity in investigating root causes, diving deep into complex problems until resolution is achieved Architecture & Performance Consult on database architecture decisions, balancing performance, scalability, and maintainability Optimize query performance and data processing workflows for large-scale financial datasets Design and implement solutions using Azure Data Factory, Delta Lake, and related technologies Think end-to-end about data flows while ensuring rigorous attention to implementation details Documentation & Process Create and maintain comprehensive documentation of database schemas, processes, and data flows Develop visual process models using tools such as Lucidchart, Visio, dbt, Azure Purview, or similar platforms Document data transformation logic and calculation methodologies for audit and compliance purposes Contribute to data governance standards and best practices across the organization Production Support & Collaboration Act as first point of escalation for high-priority data issues in production environments Partner with test automation engineers to develop data-driven testing strategies and create data integrity checking scripts Collaborate across engineering teams using Azure DevOps for CI/CD pipeline development Support both Data CoE initiatives and product engineering priorities through effective stakeholder management Required Skills & Experience Technical Expertise Database Technologies: Strong proficiency in MS SQL Server and Azure Synapse Analytics Big Data Processing: Hands-on experience with PySpark, Spark SQL, and notebook-based development Cloud Platforms: Demonstrable experience with Azure ecosystem (Synapse, Data Factory, Delta Lake) Programming: Solid coding skills in SQL, Python, and/or C# Version Control: Experience with Git and Azure DevOps or similar CI/CD platforms Testing: Experience building out unit and integration test frameworks and processes to ensure pipelines and notebooks and other code artefacts are fully automation-tested Domain Knowledge Ideally a proven track record working with complex financial data and calculations Understanding of financial data structures, reconciliation processes, and audit requirements Experience handling temporal data, slowly changing dimensions, and historical data management Knowledge of data quality frameworks and validation methodologies Professional Capabilities Strong analytical and debugging skills for complex data scenarios across stored procedures and notebooks Relentless problem-solving approach - comfortable digging deep into technical issues and pursuing answers until problems are fully understood and resolved Experience with testing principles and data integrity validation Ability to consult on technical architecture while maintaining pragmatic focus Excellent documentation and process modelling capabilities Experience Level 5+ years in data engineering roles with increasing responsibility Track record of delivering production data systems at scale Experience working in matrix or cross-functional team structures Desirable Skills Knowledge of Azure Purview or data cataloguing solutions Familiarity with Great Expectations or similar data quality frameworks Understanding of behaviour-driven development for data testing Familiarity with data anonymization, masking, and synthetic data generation techniques Experience with GraphQL APIs and modern application data layers Exposure to modern data visualization tools (Power BI, Tableau) Experience with data build tool (dbt) or similar transformation frameworks Personal Attributes Essential Collaborative mindset: Comfortable working across teams with different priorities and technical backgrounds Detail-oriented: Meticulous about data accuracy while maintaining delivery momentum Investigative nature: Thrives on troubleshooting complex issues and pursuing problems through multiple layers until fully resolved Intensely curious: Demonstrates deep curiosity about existing processes and systems, with a natural drive to investigate how things work and independently acquire new knowledge Pragmatic problem-solver: Balances architectural thinking with practical implementation Clear communicator: Articulates technical concepts to both specialist and generalist audiences Ownership mentality: Takes responsibility for production systems and follows through on commitments Cultural Fit Thrives in a matrix organization with multiple stakeholders Comfortable with ambiguity and competing priorities Passionate about engineering excellence and continuous improvement Values documentation and knowledge sharing Responds well under pressure during production incidents What We Offer Professional Development Exposure to enterprise-scale financial data systems handling complex calculations Opportunity to shape data engineering standards across the organization Work with modern Azure cloud infrastructure and emerging technologies Collaborate with skilled engineers across test automation, software development, and data teams Matrix structure providing diverse learning opportunities from both CoE and product perspectives Work Environment Hybrid working arrangement with flexibility Collaborative engineering culture valuing quality and craftsmanship Investment in tools, training, and professional growth Meaningful work on systems that impact financial data integrity and business decisions", "summaryDescription" : "Senior Data Engineer at Alpha Financial Markets Consulting. Skills: Data Engineering, Azure, SQL, Python. Design data pipelines. Build data pipelines", "postedDate" : "2026-06-14T20:15:35.724", "createdAt" : "2026-06-14T20:15:35.724", "lastUpdated" : "2026-06-16T08:19:10.521", "ingestTimestamp" : "2026-06-14T20:15:35.724", "mongoId" : "6a2ca57974d8ee00a09b6b37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data pipeline optimization", "Spark SQL notebooks", "Data integrity scripts", "Automated data quality", "Data reconciliation", "Production dataset analysis", "Root cause analysis", "Database schema documentation", "Process documentation", "Visual process models", "Data transformation logic", "Calculation methodologies", "Data governance standards", "CI/CD pipeline development", "Data-driven testing", "Problem-solving", "Investigative nature", "Pragmatic", "Data Engineering", "Azure", "SQL", "Python", "Data pipeline design", "Data transformation", "Data integrity checking", "Data quality", "Database architecture", "Query optimization", "Process modeling", "Data governance", "Stakeholder management", "Financial data", "Financial calculations", "Data structures", "Reconciliation processes", "Audit requirements", "Temporal data", "Slowly changing dimensions", "Historical data management", "Data quality frameworks", "Validation methodologies", "Cloud-native architecture", "Asset management", "MS SQL Server", "Azure Synapse Analytics", "Spark SQL", "Azure Data Factory", "Delta Lake", "Git", "Azure DevOps", "Lucidchart", "Visio", "Dbt", "Azure Purview" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1158.9163, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc35774d8ee00a0a0912f", "title" : "Senior Data Engineer (Azure/AWS)", "company" : "InfoCentric", "industry" : "Consulting", "salary" : { "min" : 165000.0, "max" : 220000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Melbourne, Australia, adjusted for the consulting industry and senior experience level." }, "location" : "Melbourne, VIC", "locations" : [ "Melbourne", "VIC" ], "timestamp" : "2026-06-16T01:23:40.560", "fingerprint" : "77a33a589abf429ccd0c4b7a20f2d19b50ae409d554d98f238f3d6b06c6ec3ec", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://infocentric.breezy.hr/p/9f3e9a704c1b-senior-data-engineer-azure-aws", "externalId" : "9f3e9a704c1b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, AWS", "coreResponsibilities" : "Deliver solutions in Data Strategy, Deliver solutions in Cloud Data Platforms, Deliver solutions in Artificial Intelligence, Deliver solutions in GenAI, Deliver solutions in Business Analytics", "domainKnowledge" : "Cloud Data Platforms; Artificial Intelligence; GenAI; Business Analytics", "domainList" : [ "cloud-data-platforms", "artificial-intelligence", "genai", "business-analytics" ], "domainSpecificKnowledge" : [ "Cloud Data Platforms", "Artificial Intelligence", "GenAI", "Business Analytics" ], "qualificationsBasic" : "5+ years experience", "rawDescription" : "InfoCentric is one of the largest Australian-owned specialist Data Consultancies, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we deliver leading solutions in Data Strategy and Advisory, Cloud Data Platforms, Artificial Intelligence, GenAI, and Business Analytics and Insi", "summaryDescription" : "Senior Data Engineer (Azure/AWS) at InfoCentric. Deliver solutions in Data Strategy. Deliver solutions in Cloud Data Platforms", "createdAt" : "2026-06-14T20:28:32.691", "lastUpdated" : "2026-06-16T01:23:40.560", "ingestTimestamp" : "2026-06-14T20:28:32.691", "mongoId" : "6a2cc35774d8ee00a0a0912f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Cloud Data Platforms", "Artificial Intelligence", "GenAI", "Business Analytics" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1136.454, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a5eef292fd229c12ca63", "title" : "Senior Data Engineer", "company" : "Blend360", "industry" : "Marketing And Advertising", "salary" : { "min" : 800000.0, "max" : 1300000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Guadalajara, Mexico, adjusted for the technology industry and senior experience level." }, "location" : "Guadalajara, Jal., MX", "locations" : [ "Guadalajara", "Jal.", "MX" ], "certifications" : [ "AWS certifications", "Databricks certifications", "Snowflake certifications" ], "timestamp" : "2026-06-16T14:16:43.051", "fingerprint" : "ec165ba2111c26c903714f62527ede9dc9c2303213ba12c2990a84b12c77931d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Blend360/744000132289980-senior-data-engineer", "externalId" : "744000132289980", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Guadalajara", "state" : "Jalisco", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "20.6720375,-103.3383960" } ], "locationText" : "Guadalajara, Jalisco, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Databricks, SQL, Apache Spark, PySpark, DBT, Medallion Architecture", "professionalSkills" : [ "Data modeling", "Component design" ], "hardSkillsList" : [ "Data pipeline development", "Data modeling", "Code refactoring", "Data transformation", "Data quality management", "Performance optimization", "Reliability engineering" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Code refactoring", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Azure Databricks, Data Pipelines, Data Modeling", "majorSkillsList" : [ "Data Engineering", "Azure Databricks", "Data Pipelines", "Data Modeling" ], "coreResponsibilities" : "Design data pipelines, Develop data pipelines, Optimize data pipelines, Refactor legacy code, Simplify maintenance, Simplify updates, Simplify reuse, Design modular code components, Build reusable code components, Consolidate KPIs, Consolidate metrics, Consolidate attributes, Build scalable data models, Maintain scalable data models, Ensure data quality, Ensure performance, Ensure reliability, Collaborate with analytics teams, Collaborate with engineering teams, Improve data processes, Improve data architecture", "teamCollaboration" : "Analytics teams; Engineering teams; Cross-functional environments", "domainKnowledge" : "Data science; AI; Data engineering; Cloud-native architecture; Medallion Architecture", "domainList" : [ "data-science", "ai", "data-engineering", "cloud-native-architecture", "medallion-architecture" ], "domainSpecificKnowledge" : [ "Data science", "AI", "Data engineering", "Cloud-native architecture", "Medallion Architecture" ], "toolProficiency" : [ "Azure Databricks", "GitHub", "Apache Spark", "DBT" ], "continuousLearning" : "AI learning paths; Udemy Business; English lessons; Mentorship programs", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "4+ years of experience in Data Engineering, Solid experience with Databricks, Experience working with GitHub repositories, Hands-on experience developing data pipelines in Azure Databricks, Experience with SQL, Experience with large-scale data processing, Proven experience refactoring legacy codebases, Hands-on experience with Apache Spark, Experience working with DBT, Experience building scalable data models for analytics", "qualificationsPreferred" : "PySpark preferred, Understanding of Medallion Architecture, Understanding of data modeling, Understanding of reusable component design, Focus on data quality, Focus on performance, Focus on reliability, Ability to work in cross-functional environments, Ability to contribute to continuous improvement, Ability to work independently, Ability to take ownership of initiatives, Ability to drive tasks with minimal supervision", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data-driven decision-making. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments. Responsibilities * Design, develop, and optimize end-to-end data pipelines using Azure Databricks * Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases. * Design and build modular, reusable code components to support multiple journeys and reduce duplication. * Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. * Build and maintain scalable data models to support current and future journey analytics use cases. * Ensure data quality, performance, and reliability across data pipelines and analytics datasets. * Collaborate with analytics and engineering teams to improve data processes and architecture. ## Qualifications * 4+ years of experience in Data Engineering. * Solid experience with Databricks. * Strong experience working with GitHub repositories and version control workflows. * Hands-on experience developing and maintaining data pipelines in Azure Databricks. * Strong experience with SQL and large-scale data processing. * Proven experience refactoring and maintaining legacy codebases. * Hands-on experience with Apache Spark (PySpark preferred). * Experience working with DBT for data transformation and modeling. * Strong understanding and hands-on experience with Medallion Architecture (Bronze, Silver, Gold). * Strong understanding of data modeling and reusable component design. * Experience building scalable data models for analytics and reporting use cases. * Strong focus on data quality, performance, and reliability. * Ability to work in cross-functional environments and contribute to continuous improvement. * Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision. ## Additional Information Our Perks and Benefits: \uD83D\uDCDA Learning Opportunities: * Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. * Access to AI learning paths to stay up to date with the latest technologies. * Study plans, courses, and additional certifications tailored to your role. * Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. * English lessons to support your professional communication. \uD83D\uDEEB Travel opportunities to attend industry conferences and meet clients. \uD83D\uDC69‍\uD83C\uDFEB Mentoring and Development: * Career development plans and mentorship programs to help shape your path. \uD83C\uDF81 Celebrations & Support: * Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. * Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.", "summaryDescription" : "Senior Data Engineer at Blend360. Skills: Data Engineering, Azure Databricks, Data Pipelines, Data Modeling. Design data pipelines. Develop data pipelines", "postedDate" : "2026-06-15T21:53:32.000", "createdAt" : "2026-06-16T03:36:27.504", "lastUpdated" : "2026-06-16T14:16:43.051", "ingestTimestamp" : "2026-06-16T03:36:27.504", "mongoId" : "6a30a5eef292fd229c12ca63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data modeling", "Code refactoring", "Data transformation", "Data quality management", "Performance optimization", "Reliability engineering", "Leadership", "Data Engineering", "Azure Databricks", "Data Pipelines", "Data Modeling", "Component design", "Data science", "AI", "Data engineering", "Cloud-native architecture", "Medallion Architecture", "AWS certifications", "Databricks certifications", "Snowflake certifications", "GitHub", "Apache Spark", "DBT" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1131.1676, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a415f292fd229c12747c", "title" : "Senior Data Engineer", "company" : "Blend360", "industry" : "Marketing And Advertising", "salary" : { "min" : 800000.0, "max" : 1300000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in Guadalajara, Mexico, adjusted for the technology industry and senior experience level." }, "location" : "Guadalajara, Jal., MX", "locations" : [ "Guadalajara", "Jal.", "MX" ], "certifications" : [ "AWS certifications", "Databricks certifications", "Snowflake certifications" ], "timestamp" : "2026-06-16T13:11:29.157", "fingerprint" : "9aae598ddf5de99136524b08cc113baf47d79b223154770807387d83ccfeae23", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Blend360/744000132289980-senior-data-engineer", "externalId" : "744000132289980", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Guadalajara", "state" : "Jalisco", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "20.6720375,-103.3383960" } ], "locationText" : "Guadalajara, Jalisco, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Databricks, SQL, Apache Spark, PySpark, DBT, Medallion Architecture", "professionalSkills" : [ "Data modeling", "Component design" ], "hardSkillsList" : [ "Data pipeline development", "Data modeling", "Code refactoring", "Data transformation", "Data quality management", "Performance optimization", "Reliability engineering" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Code refactoring", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Azure Databricks, Data Pipelines, Data Modeling", "majorSkillsList" : [ "Data Engineering", "Azure Databricks", "Data Pipelines", "Data Modeling" ], "coreResponsibilities" : "Design data pipelines, Develop data pipelines, Optimize data pipelines, Refactor legacy code, Simplify maintenance, Simplify updates, Simplify reuse, Design modular code components, Build reusable code components, Consolidate KPIs, Consolidate metrics, Consolidate attributes, Build scalable data models, Maintain scalable data models, Ensure data quality, Ensure performance, Ensure reliability, Collaborate with analytics teams, Collaborate with engineering teams, Improve data processes, Improve data architecture", "teamCollaboration" : "Analytics teams; Engineering teams; Cross-functional environments", "domainKnowledge" : "Data science; AI; Data engineering; Cloud-native architecture; Medallion Architecture", "domainList" : [ "data-science", "ai", "data-engineering", "cloud-native-architecture", "medallion-architecture" ], "domainSpecificKnowledge" : [ "Data science", "AI", "Data engineering", "Cloud-native architecture", "Medallion Architecture" ], "toolProficiency" : [ "Azure Databricks", "GitHub", "Apache Spark", "DBT" ], "continuousLearning" : "AI learning paths; Udemy Business; English lessons; Mentorship programs", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "4+ years of experience in Data Engineering, Solid experience with Databricks, Experience working with GitHub repositories, Hands-on experience developing data pipelines in Azure Databricks, Experience with SQL, Experience with large-scale data processing, Proven experience refactoring legacy codebases, Hands-on experience with Apache Spark, Experience working with DBT, Experience building scalable data models for analytics", "qualificationsPreferred" : "PySpark preferred, Understanding of Medallion Architecture, Understanding of data modeling, Understanding of reusable component design, Focus on data quality, Focus on performance, Focus on reliability, Ability to work in cross-functional environments, Ability to contribute to continuous improvement, Ability to work independently, Ability to take ownership of initiatives, Ability to drive tasks with minimal supervision", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data-driven decision-making. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments. Responsibilities * Design, develop, and optimize end-to-end data pipelines using Azure Databricks * Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases. * Design and build modular, reusable code components to support multiple journeys and reduce duplication. * Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. * Build and maintain scalable data models to support current and future journey analytics use cases. * Ensure data quality, performance, and reliability across data pipelines and analytics datasets. * Collaborate with analytics and engineering teams to improve data processes and architecture. ## Qualifications * 4+ years of experience in Data Engineering. * Solid experience with Databricks. * Strong experience working with GitHub repositories and version control workflows. * Hands-on experience developing and maintaining data pipelines in Azure Databricks. * Strong experience with SQL and large-scale data processing. * Proven experience refactoring and maintaining legacy codebases. * Hands-on experience with Apache Spark (PySpark preferred). * Experience working with DBT for data transformation and modeling. * Strong understanding and hands-on experience with Medallion Architecture (Bronze, Silver, Gold). * Strong understanding of data modeling and reusable component design. * Experience building scalable data models for analytics and reporting use cases. * Strong focus on data quality, performance, and reliability. * Ability to work in cross-functional environments and contribute to continuous improvement. * Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision. ## Additional Information Our Perks and Benefits: \uD83D\uDCDA Learning Opportunities: * Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. * Access to AI learning paths to stay up to date with the latest technologies. * Study plans, courses, and additional certifications tailored to your role. * Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. * English lessons to support your professional communication. \uD83D\uDEEB Travel opportunities to attend industry conferences and meet clients. \uD83D\uDC69‍\uD83C\uDFEB Mentoring and Development: * Career development plans and mentorship programs to help shape your path. \uD83C\uDF81 Celebrations & Support: * Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. * Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.", "summaryDescription" : "Senior Data Engineer at Blend360. Skills: Data Engineering, Azure Databricks, Data Pipelines, Data Modeling. Design data pipelines. Develop data pipelines", "postedDate" : "2026-06-15T21:53:32.000", "createdAt" : "2026-06-16T03:33:47.102", "lastUpdated" : "2026-06-16T13:11:29.157", "ingestTimestamp" : "2026-06-16T03:33:47.102", "mongoId" : "6a30a415f292fd229c12747c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data modeling", "Code refactoring", "Data transformation", "Data quality management", "Performance optimization", "Reliability engineering", "Leadership", "Data Engineering", "Azure Databricks", "Data Pipelines", "Data Modeling", "Component design", "Data science", "AI", "Data engineering", "Cloud-native architecture", "Medallion Architecture", "AWS certifications", "Databricks certifications", "Snowflake certifications", "GitHub", "Apache Spark", "DBT" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1131.1676, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30515ef292fd229ceff686", "title" : "Senior DevOps Engineer – (GenAI Platform / Azure / Terraform)", "industry" : "Technology", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior DevOps Engineer in India, adjusted for GenAI Platform, Azure, and Terraform expertise, and senior experience level." }, "timestamp" : "2026-06-16T08:03:00.554", "fingerprint" : "fbe7563965c58a244cb5894a037d2f48b7e5bd00436f0ffeb9bd22d8bbcc4fe3", "source" : "join_com", "language" : "en", "applyUrl" : "https://join.com/companies/prostaff/16279855-senior-devops-engineer-genai-platform-azure-terraform", "externalId" : "16279855", "industryFunction" : { }, "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, Terraform, GenAI", "majorSkills" : "DevOps, GenAI Platform, Azure, Terraform", "majorSkillsList" : [ "DevOps", "GenAI Platform", "Azure", "Terraform" ], "coreResponsibilities" : "Build and maintain GenAI platforms, Automate infrastructure deployment, Ensure platform reliability and scalability, Collaborate with engineering teams, Implement security best practices, Monitor system performance, Troubleshoot and resolve issues", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "GenAI; Azure; Terraform; Cloud infrastructure; Infrastructure as Code", "domainList" : [ "genai", "azure", "terraform", "cloud-infrastructure", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "GenAI", "Azure", "Terraform", "Cloud infrastructure", "Infrastructure as Code" ], "toolProficiency" : [ "Terraform" ], "qualificationsBasic" : "5+ years experience", "qualificationsPreferred" : "GenAI platform experience, Azure experience, Terraform experience", "summaryDescription" : "Senior DevOps Engineer – (GenAI Platform / Azure / Terraform). Skills: DevOps, GenAI Platform, Azure, Terraform. Build and maintain GenAI platforms. Automate infrastructure deployment", "createdAt" : "2026-06-15T22:52:30.119", "lastUpdated" : "2026-06-16T08:03:00.554", "ingestTimestamp" : "2026-06-15T22:52:30.119", "mongoId" : "6a30515ef292fd229ceff686", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "DevOps", "GenAI Platform", "Azure", "Terraform", "GenAI", "Cloud infrastructure", "Infrastructure as Code" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.44444445, "_score" : 1124.5825, "hasLocation" : false, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca42374d8ee00a09b01ce", "title" : "Data Engineer - Azure & Microsoft Fabric", "company" : "Quisitive", "industry" : "Consulting", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in the United States, adjusted for the technology industry and a major metropolitan area." }, "location" : "AI & Cloud Solutions - Delivery Services", "locations" : [ "AI & Cloud Solutions - Delivery Services" ], "timestamp" : "2026-06-16T02:35:33.442", "fingerprint" : "a8599a0189cb774617d32b4148a9dedd4dc6418d618846810d137c08e6453d2e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/quisitivejobs/jobs/8003713", "externalId" : "8003713", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "United States", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Azure, Microsoft Fabric, Spark, PySpark, Scala, Bicep, ARM templates, Terraform, Azure DevOps, SQL, NoSQL, Python", "professionalSkills" : [ "Automation", "Data processing", "Infrastructure provisioning", "Deployment automation", "Platform support", "Data security" ], "hardSkillsList" : [ "Data pipeline development", "Data ingestion", "ETL", "ELT", "Big data processing", "CI/CD implementation", "Infrastructure management", "RBAC permissions" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "ELT", "level" : "intermediate" }, { "name" : "Big data processing", "level" : "intermediate" }, { "name" : "CI/CD implementation", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" }, { "name" : "RBAC permissions", "level" : "intermediate" } ], "majorSkills" : "Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric", "majorSkillsList" : [ "Azure Databricks", "Azure Data Factory", "Azure Synapse Analytics", "Microsoft Fabric" ], "coreResponsibilities" : "Design data pipelines, Develop data pipelines, Build data ingestion pipelines, Build data transformation pipelines, Develop Azure Databricks jobs, Optimize data processing jobs, Manage Databricks workspaces, Manage Databricks clusters, Tune Databricks configurations, Troubleshoot Databricks jobs, Automate infrastructure provisioning, Automate deployments, Provision Azure data platform resources, Manage Azure data platform resources, Implement Azure DevOps CI/CD pipelines, Maintain Azure DevOps CI/CD pipelines, Deploy data pipelines, Deploy infrastructure changes, Support Modern Data Platform operations, Monitor platform stability, Maintain platform stability, Resolve connectivity issues, Resolve networking issues, Ensure Azure RBAC permissions, Ensure data security measures, Align solutions with Azure best practices, Follow Quisitive standards, Meet business requirements", "teamCollaboration" : "Work with data architects; Work with BI developers; Work with cloud engineers; Work with client stakeholders", "domainKnowledge" : "Cloud transformation; Enterprise data strategy; Agentic AI; Cloud networking; Azure RBAC; Data security", "domainList" : [ "cloud-transformation", "enterprise-data-strategy", "agentic-ai", "cloud-networking", "azure-rbac", "data-security" ], "domainSpecificKnowledge" : [ "Cloud transformation", "Enterprise data strategy", "Agentic AI", "Cloud networking", "Azure RBAC", "Data security" ], "toolProficiency" : [ "Azure Databricks", "Azure Data Factory", "Azure Synapse", "Azure DevOps", "Bicep", "Spark" ], "communicationSkills" : "Client communication", "innovationCreativity" : "Innovate; Solve complex problems; Build solutions", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Build measurable impact solutions", "qualificationsBasic" : "3+ years data engineering experience, Hands-on Azure experience, Data ingestion experience, ETL/ELT pipeline development experience, Big data processing experience, Azure Databricks proficiency, Azure Data Factory proficiency, Azure Synapse Analytics proficiency, SQL/NoSQL technologies proficiency, Azure DevOps experience, CI/CD experience, Automated releases experience, Infrastructure-as-code experience, Bicep/ARM/Terraform experience, Python/Scala programming skills, SQL programming skills, Microsoft Fabric familiarity, Azure fundamentals familiarity, Excellent problem-solving skills, Effective communication skills", "qualificationsPreferred" : "Agentic AI experience, Cloud transformation experience, Enterprise data strategy experience, Cybersecurity experience, Microsoft partner experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "As one of Microsoft’s most recognized global partners, Quisitive sits at the forefront of cloud transformation, enterprise data strategy, cybersecurity, and the emerging frontier of agentic AI. Here, consultants and technologists operate on the edge of innovation—supported by a culture that values craftsmanship, open collaboration, and technical expertise. If you’re looking for a place where you can innovate, solve complex problems, and build solutions that make a measurable impact, join us. As a Data Engineer, you will design, build, and maintain scalable data pipelines and platform solutions on Microsoft Azure. Working hands-on with services like Azure Databricks, Azure Synapse, and Microsoft Fabric, you’ll deliver robust data processing and ensure a stable, secure cloud environment that empowers analytics. The ideal candidate is a proficient Azure data engineer with a knack for automation and a collaborative mindset. This is a hybrid position and can be located in the contiguous United States. Eastern or Central time zones preferred Key Responsibilities: Design & Develop Data Pipelines: Build end-to-end data ingestion and transformation pipelines using Azure tools (e.g., Azure Data Factory, Synapse Pipelines). Ensure pipelines are efficient, reliable, and ready for continuous integration. Azure Databricks Development & Administration: Use Azure Databricks (Spark) to develop and optimize data processing jobs (PySpark/Scala) for large datasets. Manage Databricks workspaces and clusters, tuning configurations and troubleshooting jobs to maintain performance and cost-efficiency. Automate Infrastructure & Deployments: Use Infrastructure-as-Code (Bicep) to provision and manage Azure data platform resources across environments. Implement and maintain Azure DevOps CI/CD pipelines (build & release) for automated deployment of data pipelines and infrastructure changes. Modern Data Platform Support: Support the day-to-day operations of the Azure Modern Data Platform. Monitor and maintain platform stability (storage, compute), assist in resolving connectivity or networking issues, and ensure proper Azure RBAC permissions and data security measures are in place. Collaboration & Best Practices: Work closely with data architects, BI developers, cloud engineers, and client stakeholders. Ensure solutions align with Azure best practices, follow Quisitive standards, and meet business requirements. Required Experience: 3+ years of hands-on experience in data engineering with Microsoft Azure (data ingestion, ETL/ELT pipeline development, big data processing). Proficiency in Azure data services such as Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and related SQL/NoSQL technologies. Experience using Azure DevOps (Repos & Pipelines) for CI/CD: managing code, building deployment pipelines, and automating releases. Practical experience with infrastructure-as-code (Bicep, ARM templates or Terraform) for deploying and managing Azure resources and environments. Strong programming skills in Python/Scala (for Spark jobs) and SQL (for data transformations). Familiarity with Microsoft Fabric and Azure fundamentals (cloud networking, security/permissions, monitoring) to support stable operations. Excellent problem-solving skills and effective communication when working with technical teams and clients. US Citizens and Green Card holders are encouraged to apply. We are unable to offer sponsorship at this time. About Quisitive With significant growth since 2016, Quisitive is rapidly progressing our vision of becoming the leading global Microsoft partner as we continue to expand across the United States, Canada and India. With a diversified delivery model that includes both nearshore and offshore capabilities, our team of Microsoft experts delivers cloud solutions, artificial intelligence and business applications that transform our clients’ businesses and achieve remarkable business outcomes.", "summaryDescription" : "Data Engineer - Azure & Microsoft Fabric at Quisitive. Skills: Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric. Design data pipelines. Develop data pipelines", "postedDate" : "2026-06-14T20:11:06.543", "createdAt" : "2026-06-14T20:11:06.543", "lastUpdated" : "2026-06-16T02:35:33.442", "ingestTimestamp" : "2026-06-14T20:11:06.543", "mongoId" : "6a2ca42374d8ee00a09b01ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data ingestion", "ETL", "ELT", "Big data processing", "CI/CD implementation", "Infrastructure management", "RBAC permissions", "Azure Databricks", "Azure Data Factory", "Azure Synapse Analytics", "Microsoft Fabric", "Automation", "Data processing", "Infrastructure provisioning", "Deployment automation", "Platform support", "Data security", "Cloud transformation", "Enterprise data strategy", "Agentic AI", "Cloud networking", "Azure RBAC", "Azure Synapse", "Azure DevOps", "Bicep", "Spark" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1113.3054, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a415f292fd229c12747b", "title" : "Senior Data Engineer", "company" : "Blend360", "industry" : "Marketing And Advertising", "salary" : { "min" : 1750000.0, "max" : 2500000.0, "currency" : "UYU", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in Montevideo, Uruguay, adjusted for seniority and the technology industry." }, "location" : "Montevideo, Montevideo Department, UY", "locations" : [ "Montevideo", "Montevideo Department", "UY" ], "certifications" : [ "AWS certification", "Databricks certification", "Snowflake certification" ], "timestamp" : "2026-06-16T12:16:09.619", "fingerprint" : "344c360366082f7b3407b318743e4c1ae95076dc3fc54a047ce5af23e23ceb36", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Blend360/744000132290369-senior-data-engineer", "externalId" : "744000132290369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montevideo", "country" : "Uruguay", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-34.9058916,-56.1913095" } ], "locationText" : "Montevideo, Uruguay", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Databricks, Spark, PySpark, SQL, DBT, Delta Lake, AWS, Snowflake", "professionalSkills" : [ "Data modeling", "Component design" ], "hardSkillsList" : [ "Data pipeline development", "Data processing", "Code refactoring", "Data transformation", "Data modeling" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Code refactoring", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Data Pipelines, Azure Databricks, Data Modeling", "majorSkillsList" : [ "Data Engineering", "Data Pipelines", "Azure Databricks", "Data Modeling" ], "coreResponsibilities" : "Design, develop, and optimize end-to-end data pipelines using, Refactor legacy code to simplify maintenance, updates, and, Design and build modular, reusable code components, Consolidate key KPIs, metrics, and attributes into standardized, Build and maintain scalable data models to support, Ensure data quality, performance, and reliability across data, Collaborate with analytics and engineering teams to improve, Collaborate with analytics and engineering teams to improve", "teamCollaboration" : "Analytics teams; Data science teams; Business teams; Engineering teams", "domainKnowledge" : "Medallion Architecture; Data modeling; Reusable component design", "domainList" : [ "medallion-architecture", "data-modeling", "reusable-component-design" ], "domainSpecificKnowledge" : [ "Medallion Architecture", "Data modeling", "Reusable component design" ], "toolProficiency" : [ "Databricks", "GitHub", "Spark", "DBT" ], "continuousLearning" : "Certifications in AWS, Databricks, and Snowflake; AI learning paths; Study plans, courses, and certifications; Udemy Business access; English lessons", "qualificationsBasic" : "4+ years of experience in Data Engineering, Databricks experience, GitHub repositories and version control workflows experience, Azure Databricks data pipelines development experience, SQL and large-scale data processing experience, Legacy codebases refactoring and maintenance experience, Apache Spark (PySpark preferred) experience, DBT for data transformation and modeling experience, Medallion Architecture understanding, Data modeling understanding, Reusable component design understanding, Scalable data models for analytics and reporting experience, Data quality, performance, and reliability focus, Cross-functional environments work ability, Continuous improvement contribution ability, Independent work ability, Ownership of initiatives ability, Minimal supervision task driving ability", "qualificationsPreferred" : "GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data-driven decision-making. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments. Responsibilities * Design, develop, and optimize end-to-end data pipelines using Azure Databricks * Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases. * Design and build modular, reusable code components to support multiple journeys and reduce duplication. * Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. * Build and maintain scalable data models to support current and future journey analytics use cases. * Ensure data quality, performance, and reliability across data pipelines and analytics datasets. * Collaborate with analytics and engineering teams to improve data processes and architecture. ## Qualifications * 4+ years of experience in Data Engineering. * Solid experience with Databricks. * Strong experience working with GitHub repositories and version control workflows. * Hands-on experience developing and maintaining data pipelines in Azure Databricks. * Strong experience with SQL and large-scale data processing. * Proven experience refactoring and maintaining legacy codebases. * Hands-on experience with Apache Spark (PySpark preferred). * Experience working with DBT for data transformation and modeling. * Strong understanding and hands-on experience with Medallion Architecture (Bronze, Silver, Gold). * Strong understanding of data modeling and reusable component design. * Experience building scalable data models for analytics and reporting use cases. * Strong focus on data quality, performance, and reliability. * Ability to work in cross-functional environments and contribute to continuous improvement. * Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision. ## Additional Information Our Perks and Benefits: \uD83D\uDCDA Learning Opportunities: * Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. * Access to AI learning paths to stay up to date with the latest technologies. * Study plans, courses, and additional certifications tailored to your role. * Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. * English lessons to support your professional communication. \uD83D\uDEEB Travel opportunities to attend industry conferences and meet clients. \uD83D\uDC69‍\uD83C\uDFEB Mentoring and Development: * Career development plans and mentorship programs to help shape your path. \uD83C\uDF81 Celebrations & Support: * Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. * Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.", "summaryDescription" : "Senior Data Engineer at Blend360. Skills: Data Engineering, Data Pipelines, Azure Databricks, Data Modeling. Design, develop, and optimize end-to-end data pipelines using. Refactor legacy code to simplify maintenance, updates, and", "postedDate" : "2026-06-15T21:55:11.000", "createdAt" : "2026-06-16T03:31:51.916", "lastUpdated" : "2026-06-16T12:16:09.619", "ingestTimestamp" : "2026-06-16T03:31:51.916", "mongoId" : "6a30a415f292fd229c12747b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data processing", "Code refactoring", "Data transformation", "Data modeling", "Data Engineering", "Data Pipelines", "Azure Databricks", "Data Modeling", "Component design", "Medallion Architecture", "Reusable component design", "AWS certification", "Databricks certification", "Snowflake certification", "Databricks", "GitHub", "Spark", "DBT" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1103.1256, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92ed74d8ee00a0986e10", "title" : "Azure Data Enginer", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Azure Data Engineer in Poland, adjusted for the technology industry and a mid-sized company." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T05:04:47.031", "fingerprint" : "29be686e79b2d86242b22cf8fc78750881f34505d11e578ecff0abbc2f862735", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6000790004", "externalId" : "6000790004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Azure, Databricks, AWS, GCP, Snowflake", "professionalSkills" : [ "Data ingestion", "Data processing", "Data pipeline design", "Data integration", "Orchestration", "Knowledge transfer", "Reliability improvement", "Performance improvement", "Maintainability improvement" ], "hardSkillsList" : [ "Data pipeline development", "Data pipeline maintenance", "ETL processes", "ELT processes", "Data workflow orchestration" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data pipeline maintenance", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "ELT processes", "level" : "intermediate" }, { "name" : "Data workflow orchestration", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Azure Data Platform, Data Pipelines", "majorSkillsList" : [ "Data Engineering", "Azure Data Platform", "Data Pipelines" ], "coreResponsibilities" : "Develop data ingestion pipelines, Maintain data ingestion pipelines, Onboard new data sources, Contribute Azure data platform development, Contribute Azure data platform improvement, Support data workflow orchestration, Enhance data workflow orchestration, Participate client data team, Assist knowledge transfer, Identify reliability opportunities, Identify performance opportunities, Identify maintainability opportunities", "teamCollaboration" : "Embedded client team; Client data team", "domainKnowledge" : "Cloud-native data architecture; Data governance practices; GenAI workflows; AI-augmented development", "domainList" : [ "cloud-native-data-architecture", "data-governance-practices", "genai-workflows", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "Cloud-native data architecture", "Data governance practices", "GenAI workflows", "AI-augmented development" ], "toolProficiency" : [ "Claude Code", "GitHub Copilot", "Cursor" ], "communicationSkills" : "English communication", "continuousLearning" : "Knowledge sharing", "innovationCreativity" : "Emerging AI practices", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Hands-on Azure data platforms, Solid understanding data pipeline, Practical ETL/ELT experience, Experience with Databricks, Experience monitoring data workflows, Work independently, Very good English skills, Experience supporting production data platforms, Ability to ramp up quickly, Practical AI assistants experience, Work from EU region, Work permit required", "qualificationsPreferred" : "Previous banking experience, Previous financial services experience, Exposure regulated environments, Exposure data governance practices, Experience working distributed teams, Experience working nearshore teams, Experience supporting knowledge transfer, Experience applying GenAI structured, Interest emerging AI practices, Familiarity agent-based workflows, Familiarity automation patterns, Familiarity AI-augmented development", "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: developing and maintaining data ingestion pipelines from source systems to the raw data layer, onboarding new data sources into the data platform, contributing to the ongoing development and improvement of the Azure-based data platform, supporting and enhancing monitoring and orchestration of data workflows, participating in daily activities as a fully embedded member of the client’s internal data team, assisting with knowledge transfer from outgoing engineers to ensure a smooth transition, proactively identifying opportunities to improve reliability, performance, and maintainability of data pipelines. Your profile: strong hands-on experience with Azure data platforms, including data ingestion, storage, and processing. solid understanding of data pipeline design, development, and maintenance, practical experience with ETL / ELT processes and data integration patterns, experience with Databricks, experience working with monitoring and orchestration of data workflows, ability to work independently within an existing team and take ownership of assigned tasks, very good communication skills in English, familiarity with cloud-native data architecture principles, experience supporting production data platforms with a focus on stability and operational excellence, ability to ramp up quickly in an existing environment with minimal disruption, 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: previous experience in banking or financial services, exposure to regulated environments and data governance practices, experience working in distributed or nearshore teams, experience participating in or supporting knowledge transfer and transition phases, 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" : "Azure Data Enginer at Xebia. Skills: Data Engineering, Azure Data Platform, Data Pipelines. Develop data ingestion pipelines. Maintain data ingestion pipelines", "postedDate" : "2026-06-14T08:52:42.215", "createdAt" : "2026-06-14T08:52:42.215", "lastUpdated" : "2026-06-15T05:04:47.031", "ingestTimestamp" : "2026-06-14T08:52:42.215", "mongoId" : "6a2c92ed74d8ee00a0986e10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data pipeline maintenance", "ETL processes", "ELT processes", "Data workflow orchestration", "Data Engineering", "Azure Data Platform", "Data Pipelines", "Data ingestion", "Data processing", "Data pipeline design", "Data integration", "Orchestration", "Knowledge transfer", "Reliability improvement", "Performance improvement", "Maintainability improvement", "Cloud-native data architecture", "Data governance practices", "GenAI workflows", "AI-augmented development", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1101.1165, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3079d6f292fd229c0357e2", "title" : "Senior Associate, Transaction Advisory Services", "company" : "Aprio", "industry" : "Finance Advisory", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Transaction Advisory Services in Atlanta, adjusted for a Senior Associate role at a mid-sized firm in the Financial Services industry." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta, GA" ], "certifications" : [ "CFA", "CPA", "MBA" ], "timestamp" : "2026-06-16T10:48:12.401", "fingerprint" : "e610cca78e15a7fb625adeadc424c8ac386f86d9f7875dd33862d542c85116be", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/Aprio/7e18fdff-9213-4ef4-9824-7abfdb1b89a9/apply", "externalId" : "7e18fdff-9213-4ef4-9824-7abfdb1b89a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Senior", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Financial modeling", "Valuation", "Transaction advisory" ], "hardSkillsList" : [ "Financial analysis", "Accounting principles" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Accounting principles", "level" : "intermediate" } ], "majorSkills" : "Transaction advisory, Financial modeling, Valuation", "majorSkillsList" : [ "Transaction advisory", "Financial modeling", "Valuation" ], "coreResponsibilities" : "Assist with financial due diligence, Perform valuation analyses, Prepare client deliverables, Support deal execution, Conduct market research, Analyze financial statements, Develop financial models, Communicate findings to clients", "teamCollaboration" : "Cross-functional teams; Client engagement teams", "domainKnowledge" : "Mergers and acquisitions; Financial reporting; Accounting standards", "domainList" : [ "mergers-and-acquisitions", "financial-reporting", "accounting-standards" ], "domainSpecificKnowledge" : [ "Mergers and acquisitions", "Financial reporting", "Accounting standards" ], "toolProficiency" : [ "Bloomberg Terminal", "Capital IQ" ], "communicationSkills" : "Client presentations; Written reports", "documentationSkills" : "Financial reports", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "2-3 years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA license preferred, MBA preferred, Master's degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's (Insert Team) team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a (Title) to join their dynamic team. ## Responsibilities Compiling and analyzing historical financial data/financial statements provided by the buyer and/or seller. Commenting on client sellers and client targets’ financial operating results and financial position by highlighting significant business profitability trends and overly aggressive accounting policies. Understanding customer and vendor trends and other key transaction risk considerations. Proactively participating in meetings with Aprio client service team and management of client. Analyzing the cash flow impact of capital expenditures and working capital trends and changes. Creating and designing tailored transaction advisory reports addressing significant transaction consideration matters and issues. Continuously fostering relationships with coworkers (through all services lines and industry groups of Aprio) and clients (both strategics and private equity). Participating in a work environment that values and promotes camaraderie, collaboration and giving back to the community. Traveling approximately up to 15% of the time while upholding Aprio’s values and reputation. ## Qualifications Bachelor’s degree in accounting or finance Licensed CPA is a plus Understanding and applying Excel, PowerPoint and Word skills Demonstrating poise working with private equity and corporate executives Positive attitude, strong work ethic and excellent interpersonal and relationship building skills Working effectively and personably with a diverse group Strong written and verbal communication and presentation skills 2 – 3-year experience in Audit, Finance or Transaction Advisory Services Displaying adequate knowledge of US GAAP ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Transaction Advisory Services at Aprio. Skills: Transaction advisory, Financial modeling, Valuation. Assist with financial due diligence. Perform valuation analyses", "postedDate" : "2026-06-15T19:36:24.667", "createdAt" : "2026-06-15T19:36:24.667", "lastUpdated" : "2026-06-16T10:48:12.401", "ingestTimestamp" : "2026-06-16T03:25:30.153", "mongoId" : "6a3079d6f292fd229c0357e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Accounting principles", "Transaction advisory", "Financial modeling", "Valuation", "Mergers and acquisitions", "Financial reporting", "Accounting standards", "CFA", "CPA", "MBA", "Bloomberg Terminal", "Capital IQ" ], "skillCount" : 13, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 1097.8503, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3084f8f292fd229c0763af", "title" : "Senior Java Software Engineer (Spring/Azure)", "company" : "KMS Technology", "industry" : "Information Technology And Services", "salary" : { "min" : 7.8E8, "max" : 1.2E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Java Software Engineer in Da Nang, Vietnam, adjusted for industry and seniority." }, "location" : "Da Nang City, VN", "locations" : [ "Da Nang City", "VN" ], "timestamp" : "2026-06-16T14:52:26.617", "fingerprint" : "c0492b8149c5832c4c721fb1394d2a63fbaa0dece8d6ce6cb2becb2c94d4fdab", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KMSTechnology1/744000132122556-senior-java-software-engineer-spring-azure-based-in-da-nang", "externalId" : "744000132122556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Da Nang", "state" : "Da Nang", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "16.0715710,108.2093029" } ], "locationText" : "Da Nang, Da Nang, Vietnam", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Java, Spring, Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot, JPA, Hibernate, SQL, SQL Server, Oracle, MySQL, HTML, CSS, JavaScript, ReactJS, Angular, VueJS, KnockoutJS, Azure, AWS, GCP", "professionalSkills" : [ "Software implementation", "Code review", "Agile development practices" ], "hardSkillsList" : [ "Object-oriented programming", "Database design", "Unit testing", "Integration testing", "Debugging" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Object-oriented programming", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Java, Spring, Azure, Microservices", "majorSkillsList" : [ "Java", "Spring", "Azure", "Microservices" ], "coreResponsibilities" : "Perform hands-on coding, Perform code review, Understand customer requirements, Develop applications, Design scripts, Develop scripts, Review scripts, Implement scripts, Maintain scripts, Manage scripts, Participate in Agile/Scrum activities, Provide mentoring, Provide training", "teamCollaboration" : "Agile/Scrum activities", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Web-based technologies; Cloud environments; Large-scale web applications", "domainList" : [ "web-based-technologies", "cloud-environments", "large-scale-web-applications" ], "domainSpecificKnowledge" : [ "Web-based technologies", "Cloud environments", "Large-scale web applications" ], "toolProficiency" : [ "CI/CD pipelines" ], "continuousLearning" : "Training on hot-trend technologies; Training on best practices; Training on soft skills", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree in Computer Science, Intermediate level of English, 4+ years of experience, Familiar with Agile development methodologies, Ability to obtain deep knowledge of project technologies, Ability to self-learn and adapt to new technologies, Understanding of object-oriented programming (OOP) principles, Experience with JAVA web-based technologies, Experience with Spring, Experience with ORM, Experience with database design, Experience with SQL, Competent in software development processes", "qualificationsPreferred" : "Experience with web development technologies, Experience with front-end frameworks, Experience in microservices, Experience with cloud environments, Experience with large-scale web-based applications, Experience setting up CI/CD pipelines, Experience with web security issues", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions—faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities. More about KMS Technology: * Website: * Linkedin: * Perform hands-on coding and code review as other peer developers as needed * Understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this; * Design, develop, review, implement, maintain and manage continuous integration, build management and deployment scripts, systems, and any code as required; * Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate, and planning, etc * Provide mentoring/training for junior members if any * Perform other tasks assigned by the Line Manager. ## Qualifications General requirements: * Bachelor's degree in Computer Science, Information Technology, or a related field * At least intermediate level of English level * Likely having 4+ years of experience depending on how fast of your learning and developing technical capability * Familiar with Agile development methodologies (Scrum, XP, Kanban) * Ability to obtain deep knowledge of the project technologies and work independently with minimum guidance * Ability to self-learn and adapt to new technologies quickly Technical requirements: * Strong understanding of object-oriented programming (OOP) principles. * Strong experience with JAVA web-based technologies: Spring (Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot) and ORM (JPA, Hibernate) * Experience with database design and SQL (e.g., SQL Server, Oracle, MySQL). * Performs effectively & independently in software implementation activities (designing, coding, verification, unit testing, integration testing, and debugging…) * Competent in software development processes and agile development practices Nice to have: * Experience with web development technologies (HTML, CSS, JavaScript) and front-end frameworks (e.g., ReactJS, Angular, VueJS, KnockoutJS) * Experience in microservices and cloud environments (Azure/AWS/GCP) * Experience with large-scale web-based applications, setting up CI/CD pipelines and web security issues. ## Additional Information Be Your Best with KMS * Working in one of the Best Places to Work in Vietnam * Building large-scale & global software products * Working & growing with Passionate & Talented Team * Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting * Attractive Salary and Benefits * Performance appraisal once a year and performance bonus * Onsite opportunities: short-term and long-term assignments in North American (U.S, Canada), Europe, Asia. * Flexible working time * Various training on hot-trend technologies, best practices and soft skills * Premium healthcare insurance for you and your loved ones * Company trip, big annual year-end party every year, team building, etc. * Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming… * Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,… * Free in-house entertainment facilities (foosball, ping pong, gym…), coffee, and snack (instant noodles, cookies, candies…) And much more, join us and let yourself explore other fantastic things", "summaryDescription" : "Senior Java Software Engineer (Spring/Azure) at KMS Technology. Skills: Java, Spring, Azure, Microservices. Perform hands-on coding. Perform code review", "postedDate" : "2026-06-15T06:58:29.000", "createdAt" : "2026-06-16T01:40:27.835", "lastUpdated" : "2026-06-16T14:52:26.617", "ingestTimestamp" : "2026-06-16T01:40:27.835", "mongoId" : "6a3084f8f292fd229c0763af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Object-oriented programming", "Database design", "Unit testing", "Integration testing", "Debugging", "Mentoring", "Java", "Spring", "Azure", "Microservices", "Software implementation", "Code review", "Agile development practices", "Agile", "Scrum", "Web-based technologies", "Cloud environments", "Large-scale web applications", "CI/CD pipelines" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1089.0546, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051c4f292fd229cf06678", "title" : "Senior Azure DevOps Engineer", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Azure DevOps Engineer in Poland, adjusted for the technology industry and a mid-sized company." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T08:12:06.454", "fingerprint" : "04a4460ba41b9943a027efd23180c45d82bba57e00d9a781bfac42fab6d0fea1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6030404004", "externalId" : "6030404004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, Azure DevOps, Azure App Services, Azure Functions, NET, Azure API Management, Terraform, AWS, GCP, Databricks, Snowflake, AI", "professionalSkills" : [ "Cloud migration", "Cloud modernization", "Infrastructure provisioning", "Configuration automation", "Scalable deployments", "Platform security", "Operational efficiency", "Software delivery lifecycle" ], "hardSkillsList" : [ "Infrastructure as Code" ], "hardSkills" : [ { "name" : "Infrastructure as Code", "level" : "intermediate" } ], "majorSkills" : "Azure DevOps, Cloud Engineering, Infrastructure as Code, CI/CD pipelines", "majorSkillsList" : [ "Azure DevOps", "Cloud Engineering", "Infrastructure as Code", "CI/CD pipelines" ], "coreResponsibilities" : "Support cloud migration initiatives, Drive cloud migration initiatives, Design CI/CD pipelines, Build CI/CD pipelines, Maintain CI/CD pipelines, Manage Azure-based infrastructure, Optimize Azure-based infrastructure, Manage Azure application environments, Optimize Azure application environments, Automate infrastructure provisioning, Automate configuration, Collaborate with development teams, Collaborate with architecture teams, Ensure reliable deployments, Ensure scalable deployments, Improve platform security, Improve platform performance, Improve operational efficiency, Support application services, Support cloud-native solutions", "teamCollaboration" : "Development teams; Architecture teams; Multiple teams", "domainKnowledge" : "Cloud infrastructure; Automation; Deployment best practices; Cloud-native solutions; GenAI; Agent-based workflows; AI-augmented development", "domainList" : [ "cloud-infrastructure", "automation", "deployment-best-practices", "cloud-native-solutions", "genai", "agent-based-workflows", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Automation", "Deployment best practices", "Cloud-native solutions", "GenAI", "Agent-based workflows", "AI-augmented development" ], "toolProficiency" : [ "Azure DevOps", "Terraform", "Claude Code", "GitHub Copilot", "Cursor" ], "problemSolvingSkills" : "Troubleshoot technical issues; Problem-solving skills", "qualificationsBasic" : "5+ years of experience in DevOps, 5+ years of experience in Cloud Engineering, Extensive hands-on experience with Microsoft Azure, Experience designing Azure-based cloud environments, Experience managing Azure-based cloud environments, Experience optimizing Azure-based cloud environments, Experience designing Azure DevOps pipelines, Experience managing Azure DevOps pipelines, Experience optimizing Azure DevOps pipelines, Practical experience with Azure App Services, Practical experience with Azure Functions, Experience supporting .NET-based application environments, Solid knowledge of Azure API Management, Solid knowledge of Azure Web Application Firewall, Hands-on experience with Terraform, Work from the European Union region, Work permit required, Good command of English (min. B2)", "qualificationsPreferred" : "Experience working with AWS, Experience working with GCP, Experience applying GenAI in SDLC, Interest in emerging AI-driven practices, Familiarity with emerging AI-driven practices, Willingness to explore AI practices", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "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: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based infrastructure and application environments, automating infrastructure provisioning and configuration using Infrastructure as Code practices, collaborating with development and architecture teams to ensure reliable and scalable deployments, improving platform security, performance, and operational efficiency, supporting application services and cloud-native solutions throughout the software delivery lifecycle. Your profile: 5+ years of experience in DevOps, Cloud Engineering, or a similar role, including extensive hands-on experience with Microsoft Azure, strong experience designing, managing, and optimizing Azure-based cloud environments and Azure DevOps pipelines, practical experience with Azure App Services and Azure Functions, experience supporting .NET-based application environments, solid knowledge of Azure API Management (APIM) and Web Application Firewall (WAF), hands-on experience with Terraform, preferably using the AzureRM provider, practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong understanding of cloud infrastructure, automation, and deployment best practices, experience working on cloud migration or modernization projects, ability to troubleshoot complex technical issues and collaborate across multiple teams, strong communication and problem-solving skills, good command of English (min. B2). Work from the European Union region and a work permit are required. Nice to have: experience working with other cloud platforms, such as AWS or GCP, 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 – Technical interview – Client Interview – Decision", "summaryDescription" : "Senior Azure DevOps Engineer at Xebia. Skills: Azure DevOps, Cloud Engineering, Infrastructure as Code, CI/CD pipelines. Support cloud migration initiatives. Drive cloud migration initiatives", "postedDate" : "2026-06-15T23:22:25.226", "createdAt" : "2026-06-15T23:22:25.226", "lastUpdated" : "2026-06-16T08:12:06.454", "ingestTimestamp" : "2026-06-15T23:22:25.226", "mongoId" : "6a3051c4f292fd229cf06678", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Infrastructure as Code", "Azure DevOps", "Cloud Engineering", "CI/CD pipelines", "Cloud migration", "Cloud modernization", "Infrastructure provisioning", "Configuration automation", "Scalable deployments", "Platform security", "Operational efficiency", "Software delivery lifecycle", "Cloud infrastructure", "Automation", "Deployment best practices", "Cloud-native solutions", "GenAI", "Agent-based workflows", "AI-augmented development", "Terraform", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1083.4828, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30611af292fd229cf952d2", "title" : "Senior Java Software Engineer (Spring/Azure)", "company" : "KMS Technology", "industry" : "Information Technology And Services", "salary" : { "min" : 7.8E8, "max" : 1.2E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Java Software Engineer in Da Nang, Vietnam, adjusted for industry and seniority." }, "location" : "Da Nang City, VN", "locations" : [ "Da Nang City", "VN" ], "timestamp" : "2026-06-16T10:25:11.085", "fingerprint" : "1d20df1038e3f8c939d284115f530007f01c7404e8acd44efd647d8b67163dc0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KMSTechnology1/744000132122556-senior-java-software-engineer-spring-azure-based-in-da-nang", "externalId" : "744000132122556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Da Nang", "state" : "Da Nang", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "16.0715710,108.2093029" } ], "locationText" : "Da Nang, Da Nang, Vietnam", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Java, Spring, Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot, ORM, JPA, Hibernate, SQL, SQL Server, Oracle, MySQL, HTML, CSS, JavaScript, ReactJS, Angular, VueJS, KnockoutJS, Azure, AWS, GCP", "professionalSkills" : [ "Software implementation", "Code review", "Agile development practices" ], "hardSkillsList" : [ "Object-oriented programming", "Database design", "Unit testing", "Integration testing", "Debugging" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Object-oriented programming", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Java, Spring, Azure, Cloud environments", "majorSkillsList" : [ "Java", "Spring", "Azure", "Cloud environments" ], "coreResponsibilities" : "Perform hands-on coding, Perform code review, Understand customer requirements, Develop applications, Design scripts, Develop scripts, Review scripts, Implement scripts, Maintain scripts, Manage scripts, Participate in Agile/Scrum activities, Provide mentoring, Provide training", "teamCollaboration" : "Agile/Scrum activities; Peer developers", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Object-oriented programming; Microservices; Cloud environments; Large-scale web applications; CI/CD pipelines; Web security", "domainList" : [ "object-oriented-programming", "microservices", "cloud-environments", "large-scale-web-applications", "ci-cd-pipelines", "web-security" ], "domainSpecificKnowledge" : [ "Object-oriented programming", "Microservices", "Cloud environments", "Large-scale web applications", "CI/CD pipelines", "Web security" ], "toolProficiency" : [ "JIRA" ], "continuousLearning" : "Training on hot-trend technologies; Training on best practices; Training on soft skills", "problemSolvingSkills" : "Debugging", "qualificationsBasic" : "Bachelor's degree in Computer Science, Intermediate level of English, 4+ years of experience, Familiar with Agile development methodologies, Ability to obtain deep knowledge of project technologies, Ability to self-learn and adapt to new technologies, Understanding of OOP principles, Experience with JAVA web-based technologies, Experience with Spring, Experience with ORM, Experience with database design, Experience with SQL, Competent in software development processes", "qualificationsPreferred" : "Experience with web development technologies, Experience with front-end frameworks, Experience in microservices, Experience with cloud environments, Experience with large-scale web-based applications, Experience setting up CI/CD pipelines, Experience with web security issues", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions—faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities. More about KMS Technology: * Website: * Linkedin: * Perform hands-on coding and code review as other peer developers as needed * Understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this; * Design, develop, review, implement, maintain and manage continuous integration, build management and deployment scripts, systems, and any code as required; * Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate, and planning, etc * Provide mentoring/training for junior members if any * Perform other tasks assigned by the Line Manager. ## Qualifications General requirements: * Bachelor's degree in Computer Science, Information Technology, or a related field * At least intermediate level of English level * Likely having 4+ years of experience depending on how fast of your learning and developing technical capability * Familiar with Agile development methodologies (Scrum, XP, Kanban) * Ability to obtain deep knowledge of the project technologies and work independently with minimum guidance * Ability to self-learn and adapt to new technologies quickly Technical requirements: * Strong understanding of object-oriented programming (OOP) principles. * Strong experience with JAVA web-based technologies: Spring (Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot) and ORM (JPA, Hibernate) * Experience with database design and SQL (e.g., SQL Server, Oracle, MySQL). * Performs effectively & independently in software implementation activities (designing, coding, verification, unit testing, integration testing, and debugging…) * Competent in software development processes and agile development practices Nice to have: * Experience with web development technologies (HTML, CSS, JavaScript) and front-end frameworks (e.g., ReactJS, Angular, VueJS, KnockoutJS) * Experience in microservices and cloud environments (Azure/AWS/GCP) * Experience with large-scale web-based applications, setting up CI/CD pipelines and web security issues. ## Additional Information Be Your Best with KMS * Working in one of the Best Places to Work in Vietnam * Building large-scale & global software products * Working & growing with Passionate & Talented Team * Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting * Attractive Salary and Benefits * Performance appraisal once a year and performance bonus * Onsite opportunities: short-term and long-term assignments in North American (U.S, Canada), Europe, Asia. * Flexible working time * Various training on hot-trend technologies, best practices and soft skills * Premium healthcare insurance for you and your loved ones * Company trip, big annual year-end party every year, team building, etc. * Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming… * Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,… * Free in-house entertainment facilities (foosball, ping pong, gym…), coffee, and snack (instant noodles, cookies, candies…) And much more, join us and let yourself explore other fantastic things", "summaryDescription" : "Senior Java Software Engineer (Spring/Azure) at KMS Technology. Skills: Java, Spring, Azure, Cloud environments. Perform hands-on coding. Perform code review", "postedDate" : "2026-06-15T06:58:29.000", "createdAt" : "2026-06-16T00:23:05.248", "lastUpdated" : "2026-06-16T10:25:11.085", "ingestTimestamp" : "2026-06-16T00:23:05.248", "mongoId" : "6a30611af292fd229cf952d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Object-oriented programming", "Database design", "Unit testing", "Integration testing", "Debugging", "Mentoring", "Java", "Spring", "Azure", "Cloud environments", "Software implementation", "Code review", "Agile development practices", "Agile", "Scrum", "Microservices", "Large-scale web applications", "CI/CD pipelines", "Web security", "JIRA" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1081.5165, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cfcad74d8ee00a0aaa13d", "title" : "Senior Azure Cloud Infrastructure Engineer", "company" : "LIGHTFEATHER IO LLC", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Azure Cloud Infrastructure Engineer in Washington, United States, adjusted for seniority and industry." }, "location" : "Alexandria, Virginia, United States", "locations" : [ "Alexandria", "Virginia", "United States" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T06:01:19.636", "fingerprint" : "cdb51b33f34a2a96c3f6f8b234b0def02115b59559e108aac004871c17bbd9ac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lightfeatheriollc/jobs/5258010008", "externalId" : "5258010008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, Kubernetes, Terraform, CI/CD, Scripting languages, Monitoring tools, Networking, Security, Ansible, Containerization, Infrastructure as code", "professionalSkills" : [ "System design", "Troubleshooting", "Automation" ], "hardSkillsList" : [ "Cloud infrastructure management", "Container orchestration", "Infrastructure automation", "Network configuration", "Security implementation" ], "hardSkills" : [ { "name" : "Cloud infrastructure management", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Network configuration", "level" : "intermediate" }, { "name" : "Security implementation", "level" : "intermediate" } ], "majorSkills" : "Azure Cloud, Kubernetes, Terraform, CI/CD", "majorSkillsList" : [ "Azure Cloud", "Kubernetes", "Terraform", "CI/CD" ], "coreResponsibilities" : "Design and implement Azure infrastructure, Manage Kubernetes clusters, Automate infrastructure deployment, Develop and maintain CI/CD pipelines, Implement monitoring and alerting solutions, Ensure infrastructure security, Troubleshoot infrastructure issues, Collaborate with development teams, Document infrastructure configurations, Optimize infrastructure performance", "teamCollaboration" : "Development teams; Cross-functional teams", "domainKnowledge" : "Cloud infrastructure; Containerization; Infrastructure as code; DevOps practices; Network security; System monitoring", "domainList" : [ "cloud-infrastructure", "containerization", "infrastructure-as-code", "devops-practices", "network-security", "system-monitoring" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Containerization", "Infrastructure as code", "DevOps practices", "Network security", "System monitoring" ], "toolProficiency" : [ "Azure", "Kubernetes", "Terraform", "CI/CD tools", "Monitoring tools", "Ansible" ], "documentationSkills" : "Document infrastructure configurations", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Ensure high availability; Improve system performance; Enhance infrastructure security; Streamline deployment processes", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Computer Science, Experience with Azure, Experience with Kubernetes, Experience with Terraform, Experience with CI/CD pipelines, Experience with scripting languages, Experience with monitoring tools, Experience with networking concepts, Experience with security best practices", "qualificationsPreferred" : "Master's degree, Azure certifications, Experience with Ansible, Experience with containerization, Experience with infrastructure as code", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LightFeather is hiring a cleared Azure infrastructure and DevOps professional to support mission-critical federal IT modernization in Washington, D. C. In this role, you'll take ownership of secure cloud architecture, infrastructure automation, and compliance operations — working directly alongside government stakeholders to keep systems performant, resilient, and audit-ready. Location: Hybrid, On-site 4 days/week in Washington, D. C. 20036 and 1 day Telework Job Type: Full-time Clearance Requirement: U. S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Secret-level security clearance Key Responsibilities Design, deploy, and maintain Azure cloud infrastructure including VMs, VNets, Storage, Azure AD, and PaaS services. Manage and optimize Azure networking components (VNets, NSGs, Load Balancers, VPN/ExpressRoute connectivity). Develop and maintain Terraform templates as the primary IaC tool (critical requirement emphasized by hiring managers). Support automation via PowerShell, Bash, YAML/JSON, and GitLab pipelines. Deploy, configure, and manage AVD environments including host pools, session hosts, FSLogix profile containers, and Azure AD/M365 integrations. Provide troubleshooting and performance optimization for AVD users (explicit customer requirement). Build, maintain, and troubleshoot CI/CD pipelines in GitLab. Automate cloud operations, system configuration, and monitoring tasks. Implement secure cloud practices aligned with federal requirements (RBAC, Key Vault, IAM, encryption standards). Ensure compliance with NIST, RMF, FedRAMP, and agency-specific controls. Use Azure Monitor, Log Analytics, and related tools to analyze system health, diagnose issues, and enforce SLAs. Work with engineering, security, and program staff to support ongoing cloud modernization efforts. Support onsite collaboration with customer stakeholders (note: role cannot be performed remotely long-term). Required Qualifications Active Secret clearance or higher Ability to commute to Washington, D. C. and work onsite four days per week 5+ years of total experience in Cloud Engineering, DevOps, or Systems Engineering 3+ years hands-on with Azure cloud services and infrastructure architecture 3+ years building and managing CI/CD pipelines in production environments 3+ years writing and maintaining Terraform IaC (high-priority skill) 3+ years working with GitLab for source control and pipeline management 4+ years of PowerShell scripting for systems automation Demonstrated production experience with Azure Virtual Desktop (AVD) Working knowledge of federal compliance frameworks: FedRAMP, NIST 800-53, RMF Preferred Qualifications Prior work supporting DoD or civilian federal agency cloud programs Familiarity with containerization: Docker, Kubernetes, or AKS Experience with Azure serverless services (Functions, Logic Apps, Event Grid) FinOps or Azure Cost Management experience for cloud spend governance Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.", "summaryDescription" : "Senior Azure Cloud Infrastructure Engineer at LIGHTFEATHER IO LLC. Skills: Azure Cloud, Kubernetes, Terraform, CI/CD. Design and implement Azure infrastructure. Manage Kubernetes clusters", "postedDate" : "2026-06-14T21:09:04.913", "createdAt" : "2026-06-14T21:09:04.913", "lastUpdated" : "2026-06-16T06:01:19.636", "ingestTimestamp" : "2026-06-14T21:09:04.913", "mongoId" : "6a2cfcad74d8ee00a0aaa13d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cloud infrastructure management", "Container orchestration", "Infrastructure automation", "Network configuration", "Security implementation", "Azure Cloud", "Kubernetes", "Terraform", "CI/CD", "System design", "Troubleshooting", "Automation", "Cloud infrastructure", "Containerization", "Infrastructure as code", "DevOps practices", "Network security", "System monitoring", "Azure certifications", "Azure", "CI/CD tools", "Monitoring tools", "Ansible" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1064.9795, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92ee74d8ee00a0986e4d", "title" : "Senior Azure DevOps Engineer", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Azure DevOps Engineer in Poland, adjusted for seniority and technology industry." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T05:02:29.354", "fingerprint" : "eec4bd6140c3b832fac54b22cf3d4678eae7009114f723c814e237dc64be58b2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/5836819004", "externalId" : "5836819004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Azure, Azure IaaS, Azure PaaS, Azure SaaS, Azure Compute, Azure Networking, Azure Security, Azure Data Services, Azure Kubernetes Service, Cloud Adoption Framework, Terraform, Bicep, Pulumi, PowerShell, Bash, SQL, KQL, Azure DevOps, GitHub Actions, Kubernetes, Docker, Privileged access management, Vulnerability management, Secrets management, WAF solutions, Security logging, Security monitoring, Security alerting, Cryptography, X509 certificates, TLS/SSL, Static code analysis, Dynamic code analysis, Container scanning, Open-source scanning, Elasticsearch, Linux, GenAI", "professionalSkills" : [ "Platform engineering", "Operations research", "Security research", "Cloud-native transformation" ], "hardSkillsList" : [ "Infrastructure provisioning", "Automated deployment", "Platform security testing", "Code quality", "Business continuity planning", "Disaster recovery solutions", "Secure development lifecycle" ], "hardSkills" : [ { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Automated deployment", "level" : "intermediate" }, { "name" : "Platform security testing", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Business continuity planning", "level" : "intermediate" }, { "name" : "Disaster recovery solutions", "level" : "intermediate" }, { "name" : "Secure development lifecycle", "level" : "intermediate" } ], "majorSkills" : "Azure Cloud services, DevOps pipelines, Infrastructure as Code, Kubernetes, Cloud security", "majorSkillsList" : [ "Azure Cloud services", "DevOps pipelines", "Infrastructure as Code", "Kubernetes", "Cloud security" ], "coreResponsibilities" : "Design cloud platforms, Evolve cloud platforms, Lead migration initiatives, Implement automated pipelines, Implement infrastructure provisioning, Drive platform security testing, Ensure compliance security standards, Partner with Product teams, Partner with Architecture teams, Partner with Software Engineering teams, Contribute platform engineering, Contribute operations, Contribute security research, Introduce innovative solutions, Support continuous improvement, Align work OKRs, Align work strategic initiatives", "teamCollaboration" : "Partnering with Product; Partnering with Architecture; Partnering with Software Engineering", "domainKnowledge" : "Microsoft Azure Cloud; Azure Landing Zones; Cloud Adoption Framework; Infrastructure as Code; CI/CD processes; Kubernetes orchestration; Cloud security controls; Business continuity; Disaster recovery; Cryptography; Certificates X509; TLS/SSL security; Secure development lifecycle; Information security best practices; Cloud environments; ISO 27001; SOC 2; OWASP Testing Guide; GenAI in SDLC; AI-driven practices; Agent-based workflows; AI-augmented development", "domainList" : [ "microsoft-azure-cloud", "azure-landing-zones", "cloud-adoption-framework", "infrastructure-as-code", "ci-cd-processes", "kubernetes-orchestration", "cloud-security-controls", "business-continuity", "disaster-recovery", "cryptography", "certificates-x509", "tls-ssl-security", "secure-development-lifecycle", "information-security-best-practices", "cloud-environments", "iso-27001", "soc-2", "owasp-testing-guide", "genai-in-sdlc", "ai-driven-practices", "agent-based-workflows", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "Microsoft Azure Cloud", "Azure Landing Zones", "Cloud Adoption Framework", "Infrastructure as Code", "CI/CD processes", "Kubernetes orchestration", "Cloud security controls", "Business continuity", "Disaster recovery", "Cryptography", "Certificates X509", "TLS/SSL security", "Secure development lifecycle", "Information security best practices", "Cloud environments", "ISO 27001", "SOC 2", "OWASP Testing Guide", "GenAI in SDLC", "AI-driven practices", "Agent-based workflows", "AI-augmented development" ], "toolProficiency" : [ "Azure", "Azure DevOps", "GitHub Actions", "Terraform", "Bicep", "Pulumi", "Kubernetes", "Docker", "Claude Code", "GitHub Copilot", "Cursor", "Elasticsearch" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Knowledge sharing; Continuous improvement; Continuous focus growth", "innovationCreativity" : "Introduce innovative solutions; Explore and experiment", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Work permit EU", "qualificationsBasic" : "6+ years experience, Expertise in Microsoft Azure, Hands-on Azure Landing Zones, Migrating on-premises workloads, Proficient in Infrastructure as Code, Proficient in PowerShell, Proficient in Bash, Proficient in SQL, Proficient in KQL, Hands-on Azure DevOps pipelines, Hands-on GitHub Actions, Solid background Kubernetes, Solid background Docker, Practical cloud security controls, Expertise business continuity, Expertise disaster recovery, Thorough knowledge cryptography, Thorough knowledge certificates, Thorough knowledge TLS/SSL, Experience security scanning tools, Practical experience AI assistants, Good English communication", "qualificationsPreferred" : "Familiarity Elasticsearch, Knowledge Linux, Knowledge package management, Knowledge configuration management, Background ISO 27001, Background SOC 2, Understanding OWASP Testing Guide, Experience applying GenAI, Interest emerging AI-driven practices, Willingness explore AI practices", "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: designing and evolving cloud platforms with a focus on Azure Cloud services, leading on-premises to cloud migration initiatives ensuring scalability, security, and high availability, implementing automated deployment pipelines and infrastructure provisioning solutions, driving platform security testing and ensuring compliance with company-wide security standards, partnering with Product, Architecture, and Software Engineering teams to deliver secure, cost-effective SaaS products, contributing to platform engineering, operations, and security research to introduce innovative solutions, supporting continuous improvement of operational processes critical for cloud platform and operations success, aligning work with company-wide OKRs and strategic initiatives focused on cloud-native transformation. Your profile: 6+ years of experience in infrastructure, software engineering, or DevOps, with strong expertise in Microsoft Azure Cloud services (IaaS, PaaS, SaaS), including compute, networking, security, data services, and containerization (Azure Kubernetes Service), hands-on experience designing and building scalable, multi-region, highly available, secure Azure Landing Zones using the Cloud Adoption Framework (CAF), proven track record of migrating on-premises workloads to cloud with approaches beyond lift-and-shift, including rehosting, re-platforming, and refactoring, proficient in Infrastructure as Code (Terraform and/or Bicep and/or Pulumi) and scripting/programming languages such as PowerShell, Bash, SQL, and KQL, hands-on experience with Azure DevOps pipelines (including YAML), GitHub Actions, CI/CD processes, and integration of security and code quality tools, solid background in container orchestration with Kubernetes and Docker, specifically managing Azure Kubernetes environments, strong understanding and practical experience implementing cloud security controls, including privileged access management, vulnerability management, secrets management, WAF solutions, security logging, monitoring, and alerting, expertise in business continuity planning and disaster recovery solutions for on-premises and cloud-deployed services, thorough knowledge of cryptography, certificates (X509), TLS/SSL security parameters, and secure development lifecycle practices, experience with security scanning tools (static/dynamic code analysis, container and open-source scanning) and information security best practices in cloud environments, practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. good verbal and written communication skills in English (min. B2). Work from the European Union region and a work permit are required. Nice to have: familiarity with Elasticsearch, knowledge of Linux, package management, and configuration management tools, background in implementing controls for ISO 27001 and SOC 2, understanding of OWASP Testing Guide and methodology, 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 – Technical Interview – Client Interview – Decision", "summaryDescription" : "Senior Azure DevOps Engineer at Xebia. Skills: Azure Cloud services, DevOps pipelines, Infrastructure as Code, Kubernetes, Cloud security. Design cloud platforms. Evolve cloud platforms", "postedDate" : "2026-06-14T05:56:49.790", "createdAt" : "2026-06-14T05:56:49.790", "lastUpdated" : "2026-06-15T05:02:29.354", "ingestTimestamp" : "2026-06-14T05:56:49.790", "mongoId" : "6a2c92ee74d8ee00a0986e4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Infrastructure provisioning", "Automated deployment", "Platform security testing", "Code quality", "Business continuity planning", "Disaster recovery solutions", "Secure development lifecycle", "Azure Cloud services", "DevOps pipelines", "Infrastructure as Code", "Kubernetes", "Cloud security", "Platform engineering", "Operations research", "Security research", "Cloud-native transformation", "Microsoft Azure Cloud", "Azure Landing Zones", "Cloud Adoption Framework", "CI/CD processes", "Kubernetes orchestration", "Cloud security controls", "Business continuity", "Disaster recovery", "Cryptography", "Certificates X509", "TLS/SSL security", "Information security best practices", "Cloud environments", "ISO 27001", "SOC 2", "OWASP Testing Guide", "GenAI in SDLC", "AI-driven practices", "Agent-based workflows", "AI-augmented development", "Azure", "Azure DevOps", "GitHub Actions", "Terraform", "Bicep", "Pulumi", "Docker", "Claude Code", "GitHub Copilot", "Cursor", "Elasticsearch" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1026.4458, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2da0b574d8ee00a0c5e860", "title" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory", "company" : "Pwc", "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T12:27:37.501", "fingerprint" : "dcc0cac8319ec8d27b5d623470ad432338c70585e567c3213fb587675233f1a4", "source" : "workday", "applyUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Bengaluru-Millenia/IN-Senior-Associate-Big-Data-Engineer-Data-Analytics-Advisory-Bangalore_736214WD-1", "externalId" : "736214WD", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Engineering", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Scala, Python, AWS, Spark, S3, Glue, EMR, Aurora Postgres, Lambda, Kinesis, kafka, Flink, Apache Iceberg, NIFI", "professionalSkills" : [ "Data, Analytics & AI" ], "hardSkillsList" : [ "Big Data", "AWS", "SQL", "Python", "Scala", "Spark", "S3", "Glue", "EMR", "Aurora Postgres", "Lambda", "Kinesis", "kafka", "Airflow", "DBT", "Flink", "Apache Iceberg", "Datadog", "NIFI" ], "softSkillsList" : [ "Accepting Feedback, Active Listening, Communication, Creativity" ], "hardSkills" : [ { "name" : "Big Data", "level" : "intermediate" }, { "name" : "AWS", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "Scala", "level" : "intermediate" }, { "name" : "Spark", "level" : "intermediate" }, { "name" : "S3", "level" : "intermediate" }, { "name" : "Glue", "level" : "intermediate" }, { "name" : "EMR", "level" : "intermediate" }, { "name" : "Aurora Postgres", "level" : "intermediate" }, { "name" : "Lambda", "level" : "intermediate" }, { "name" : "Kinesis", "level" : "intermediate" }, { "name" : "kafka", "level" : "intermediate" }, { "name" : "Airflow", "level" : "intermediate" }, { "name" : "DBT", "level" : "intermediate" }, { "name" : "Flink", "level" : "intermediate" }, { "name" : "Apache Iceberg", "level" : "intermediate" }, { "name" : "Datadog", "level" : "intermediate" }, { "name" : "NIFI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accepting Feedback, Active Listening, Communication, Creativity" } ], "majorSkills" : "Big Data, AWS, SQL, Python, Spark", "majorSkillsList" : [ "Big Data, AWS, SQL, Python, Spark" ], "coreResponsibilities" : "Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions.", "teamCollaboration" : "Part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.", "toolProficiency" : [ "AWS, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Github, Snowflake, Glue, EMR, Lambda, Kinesis, NIFI" ], "communicationSkills" : "Communication", "continuousLearning" : "Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.", "innovationCreativity" : "Environment that drives innovation.", "problemSolvingSkills" : "Data Engineering; Data Integration; Data Pipeline", "specialRequirements" : "PwC believes in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. Strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. Zero tolerance for any discrimination and harassment.", "outcomesObjectives" : "Make a tangible impact in the real world. Help organisations uncover enterprise insights and drive business results using smarter data analytics. Help clients gain a competitive edge.", "qualificationsBasic" : "Working knowledge on big data technologies, Cloud AWS. Excellent working knowledge on SQL. Proficient with spark and any one or both programming language e.g. Scala and/or Python. Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog. Experience with CI/CD framework implementation in conjunction with any popular code repository like Github.", "qualificationsPreferred" : "Experience with snowflake will be a big positive.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Senior Associate **Job Description & Summary** At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _*Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities :** Working knowledge on big data technologies , Cloud AWS Excellent working knowledge on SQL Proficient with spark and any one or both programming language e.g. Scala and/or Python Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog Experience with snowflake will be a big positive Experience with CI/CD framework implementation in conjunction with any popular code repository like Github **Mandatory skill set s:** * Big Data, AWS, SQL, Python/Scala, Spark, S3, Glue, EMR, Aurora PostGres, Lambda, Kinesis, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Scala, Python, NIFI, SQL **Preferred skill sets :** * Snowflake **Years of experience required:** 5-8yrs **Education qualification :** B.Tech / M.Tech / M.E / MCA/B.E **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Big Data **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory at Pwc. Skills: Big Data, AWS, SQL, Python, Spark. Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions.", "postedDate" : "2026-06-13T18:55:25.522", "createdAt" : "2026-06-14T18:55:25.515", "lastUpdated" : "2026-06-15T12:27:37.501", "ingestTimestamp" : "2026-06-14T18:55:25.515", "mongoId" : "6a2da0b574d8ee00a0c5e860", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Bengaluru-Millenia/IN-Senior-Associate-Big-Data-Engineer-Data-Analytics-Advisory-Bangalore_736214WD-1", "hasSalary" : false, "allSkills" : [ "Big Data", "AWS", "SQL", "Python", "Scala", "Spark", "S3", "Glue", "EMR", "Aurora Postgres", "Lambda", "Kinesis", "kafka", "Airflow", "DBT", "Flink", "Apache Iceberg", "Datadog", "NIFI", "Accepting Feedback, Active Listening, Communication, Creativity", "Big Data, AWS, SQL, Python, Spark", "Data, Analytics & AI", "AWS, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Github, Snowflake, Glue, EMR, Lambda, Kinesis, NIFI" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 0.8888889, "_score" : 1024.7897, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "id" : "6a3084f8f292fd229c0763ae", "title" : "Java Software Engineer (Spring/Azure/AWS)", "company" : "KMS Technology", "industry" : "Computer Software", "salary" : { "min" : 4.0E8, "max" : 6.5E8, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Java Software Engineer in Da Nang, Vietnam, with 2+ years of experience, adjusted for the technology industry and company size." }, "location" : "Da Nang City, VN", "locations" : [ "Da Nang City", "VN" ], "timestamp" : "2026-06-16T11:51:05.760", "fingerprint" : "f363b6ebef36f63b5be87ea2e970ce4f29dbb1d897ce2ef867d52c10febfbe8a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KMSTechnology1/744000132123907-java-software-engineer-spring-azure-aws-based-in-da-nang", "externalId" : "744000132123907", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Da Nang", "state" : "Da Nang", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "16.0715710,108.2093029" } ], "locationText" : "Da Nang, Da Nang, Vietnam", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "technicalSkills" : "JAVA, Spring, Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot, ORM, JPA, Hibernate, Microservices, Azure, HTML, CSS, JavaScript, ReactJS, Angular, VueJS, KnockoutJS, CI/CD, ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Claude Code", "professionalSkills" : [ "Code review", "System design", "Deployment scripts", "Agile/Scrum activities" ], "hardSkillsList" : [ "Object-oriented programming", "Web development", "Cloud environments", "CI/CD pipelines", "Web security" ], "hardSkills" : [ { "name" : "Object-oriented programming", "level" : "intermediate" }, { "name" : "Web development", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Web security", "level" : "intermediate" } ], "majorSkills" : "Java, Spring Boot, Microservices, Azure", "majorSkillsList" : [ "Java", "Spring Boot", "Microservices", "Azure" ], "coreResponsibilities" : "Perform hands-on coding, Perform code review, Understand customer requirements, Develop applications, Design deployment scripts, Develop deployment scripts, Review deployment scripts, Implement deployment scripts, Maintain deployment scripts, Manage deployment scripts, Participate in Agile activities, Participate in Scrum activities, Participate in daily standup, Participate in demo session, Participate in retrospective, Participate in estimate, Participate in planning", "teamCollaboration" : "Agile/Scrum activities", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Object-oriented programming; Microservices; Cloud environments; Web security", "domainList" : [ "object-oriented-programming", "microservices", "cloud-environments", "web-security" ], "domainSpecificKnowledge" : [ "Object-oriented programming", "Microservices", "Cloud environments", "Web security" ], "toolProficiency" : [ "JPA", "Hibernate", "Azure", "ReactJS", "Angular", "VueJS", "KnockoutJS", "ChatGPT", "Claude", "Gemini", "GitHub Copilot", "Cursor", "Claude Code" ], "documentationSkills" : "Documentation", "continuousLearning" : "Training on hot-trend technologies; Training on best practices; Training on soft skills", "problemSolvingSkills" : "Debugging", "qualificationsBasic" : "Intermediate level of English, 2+ years of experience, Understanding of OOP principles, Experience with JAVA web technologies, Experience with Spring, Experience with ORM, Experience in microservices, Experience in cloud environments (Azure)", "qualificationsPreferred" : "Experience with web development technologies, Experience with front-end frameworks, Experience setting up CI/CD pipelines, Experience with web security issues, Experience using AI chat tools, Familiarity with AI coding assistant, Ability to write clear prompts, Awareness of AI output limitations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions—faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities. More about KMS Technology: Website: [https://kms-technology.com](https://kms-technology.com/) Linkedin: * Perform hands-on coding and code review as other peer developers as needed * Understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this; * Design, develop, review, implement, maintain and manage continuous integration, build management and deployment scripts, systems, and any code as required; * Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate, and planning, etc ## Qualifications General requirements: * At least intermediate level of English level * Likely having 2+ years of experience depending on how fast of your learning and developing technical capability * Ability to self-learn and adapt to new technologies quickly Technical requirements: * Strong understanding of object-oriented programming (OOP) principles. * Strong experience with JAVA web-based technologies: Spring (Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot) and ORM (JPA, Hibernate) * Experience in microservices and cloud environments (Azure) Nice to have: * Experience with web development technologies (HTML, CSS, JavaScript) and front-end frameworks (e.g., ReactJS, Angular, VueJS, KnockoutJS) * Experience in setting up CI/CD pipelines and web security issues. * Experience using AI chat tools (ChatGPT, Claude, Gemini, etc.) for research, debugging, and learning * Familiarity with at least one AI coding assistant (GitHub Copilot, Cursor, Claude Code, or similar) * Ability to write clear, contextual prompts to generate code snippets, unit tests, or documentation * Awareness of AI output limitations and responsible AI use (data privacy, handling of sensitive client data) ## Additional Information Perks You'll Enjoy * Working in one of the Best Places to Work in Vietnam * Building large-scale & global software products * Working & growing with Passionate & Talented Team * Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting * Attractive Salary and Benefits * Performance appraisals every year and performance bonus * Onsite opportunities: short-term and long-term assignments in North American (U.S, Canada), Europe, Asia. * Flexible working time * Various training on hot-trend technologies, best practices and soft skills * Premium healthcare insurance for you and your loved ones * Company trip, big annual year-end party every year, team building, etc. * Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming… * Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,… * Free in-house entertainment facilities (foosball, ping pong, gym…), coffee, and snack (instant noodles, cookies, candies…) And much more, join us and let yourself explore other fantastic things!", "summaryDescription" : "Java Software Engineer (Spring/Azure/AWS) at KMS Technology. Skills: Java, Spring Boot, Microservices, Azure. Perform hands-on coding. Perform code review", "postedDate" : "2026-06-15T06:58:57.000", "createdAt" : "2026-06-16T01:43:12.360", "lastUpdated" : "2026-06-16T11:51:05.760", "ingestTimestamp" : "2026-06-16T01:43:12.360", "mongoId" : "6a3084f8f292fd229c0763ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Object-oriented programming", "Web development", "Cloud environments", "CI/CD pipelines", "Web security", "Java", "Spring Boot", "Microservices", "Azure", "Code review", "System design", "Deployment scripts", "Agile/Scrum activities", "Agile", "Scrum", "JPA", "Hibernate", "ReactJS", "Angular", "VueJS", "KnockoutJS", "ChatGPT", "Claude", "Gemini", "GitHub Copilot", "Cursor", "Claude Code" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 1020.8353, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30611af292fd229cf952d1", "title" : "Java Software Engineer (Spring/Azure/AWS)", "company" : "KMS Technology", "industry" : "Computer Software", "salary" : { "min" : 4.0E8, "max" : 6.5E8, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Java Software Engineer in Da Nang, Vietnam, adjusted for the technology industry and company size." }, "location" : "Da Nang City, VN", "locations" : [ "Da Nang City", "VN" ], "timestamp" : "2026-06-16T09:03:00.306", "fingerprint" : "90ce40f65996497971fc87f4ab7efed24fe006b07cfd4980e01f713cfa424fb5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KMSTechnology1/744000132123907-java-software-engineer-spring-azure-aws-based-in-da-nang", "externalId" : "744000132123907", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Da Nang", "state" : "Da Nang", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "16.0715710,108.2093029" } ], "locationText" : "Da Nang, Da Nang, Vietnam", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "technicalSkills" : "JAVA, Spring, Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot, ORM, JPA, Hibernate, Azure, HTML, CSS, JavaScript, ReactJS, Angular, VueJS, KnockoutJS, CI/CD, ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Claude Code", "professionalSkills" : [ "Code review", "System design", "Agile/Scrum activities" ], "hardSkillsList" : [ "Object-oriented programming", "Web development", "Microservices", "Cloud environments", "CI/CD pipelines", "Web security" ], "hardSkills" : [ { "name" : "Object-oriented programming", "level" : "intermediate" }, { "name" : "Web development", "level" : "intermediate" }, { "name" : "Microservices", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Web security", "level" : "intermediate" } ], "majorSkills" : "Java, Spring Boot, Microservices, Azure", "majorSkillsList" : [ "Java", "Spring Boot", "Microservices", "Azure" ], "coreResponsibilities" : "Perform hands-on coding, Perform code review, Understand customer requirements, Develop applications, Design build scripts, Develop build scripts, Review build scripts, Implement build scripts, Maintain build scripts, Manage build scripts, Design deployment scripts, Develop deployment scripts, Review deployment scripts, Implement deployment scripts, Maintain deployment scripts, Manage deployment scripts, Participate in Agile activities, Participate in Scrum activities", "teamCollaboration" : "Agile/Scrum teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Object-oriented programming; Web-based technologies; Microservices; Cloud environments; CI/CD pipelines; Web security", "domainList" : [ "object-oriented-programming", "web-based-technologies", "microservices", "cloud-environments", "ci-cd-pipelines", "web-security" ], "domainSpecificKnowledge" : [ "Object-oriented programming", "Web-based technologies", "Microservices", "Cloud environments", "CI/CD pipelines", "Web security" ], "toolProficiency" : [ "JPA", "Hibernate", "Azure", "ReactJS", "Angular", "VueJS", "KnockoutJS", "ChatGPT", "Claude", "Gemini", "GitHub Copilot", "Cursor", "Claude Code" ], "documentationSkills" : "Documentation", "continuousLearning" : "Training on hot-trend technologies; Training on best practices; Training on soft skills", "problemSolvingSkills" : "Debugging", "qualificationsBasic" : "Intermediate level of English, 2+ years of experience, Understanding of OOP principles, Experience with JAVA web technologies, Experience with Spring, Experience with ORM, Experience in microservices, Experience in cloud environments (Azure)", "qualificationsPreferred" : "Experience with web development technologies, Experience with front-end frameworks, Experience setting up CI/CD pipelines, Experience with web security issues, Experience using AI chat tools, Familiarity with AI coding assistant, Ability to write clear prompts, Awareness of AI output limitations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions—faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities. More about KMS Technology: Website: [https://kms-technology.com](https://kms-technology.com/) Linkedin: * Perform hands-on coding and code review as other peer developers as needed * Understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this; * Design, develop, review, implement, maintain and manage continuous integration, build management and deployment scripts, systems, and any code as required; * Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate, and planning, etc ## Qualifications General requirements: * At least intermediate level of English level * Likely having 2+ years of experience depending on how fast of your learning and developing technical capability * Ability to self-learn and adapt to new technologies quickly Technical requirements: * Strong understanding of object-oriented programming (OOP) principles. * Strong experience with JAVA web-based technologies: Spring (Spring Core, Spring MVC, Spring Security, Spring Data, Spring Boot) and ORM (JPA, Hibernate) * Experience in microservices and cloud environments (Azure) Nice to have: * Experience with web development technologies (HTML, CSS, JavaScript) and front-end frameworks (e.g., ReactJS, Angular, VueJS, KnockoutJS) * Experience in setting up CI/CD pipelines and web security issues. * Experience using AI chat tools (ChatGPT, Claude, Gemini, etc.) for research, debugging, and learning * Familiarity with at least one AI coding assistant (GitHub Copilot, Cursor, Claude Code, or similar) * Ability to write clear, contextual prompts to generate code snippets, unit tests, or documentation * Awareness of AI output limitations and responsible AI use (data privacy, handling of sensitive client data) ## Additional Information Perks You'll Enjoy * Working in one of the Best Places to Work in Vietnam * Building large-scale & global software products * Working & growing with Passionate & Talented Team * Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting * Attractive Salary and Benefits * Performance appraisals every year and performance bonus * Onsite opportunities: short-term and long-term assignments in North American (U.S, Canada), Europe, Asia. * Flexible working time * Various training on hot-trend technologies, best practices and soft skills * Premium healthcare insurance for you and your loved ones * Company trip, big annual year-end party every year, team building, etc. * Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming… * Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,… * Free in-house entertainment facilities (foosball, ping pong, gym…), coffee, and snack (instant noodles, cookies, candies…) And much more, join us and let yourself explore other fantastic things!", "summaryDescription" : "Java Software Engineer (Spring/Azure/AWS) at KMS Technology. Skills: Java, Spring Boot, Microservices, Azure. Perform hands-on coding. Perform code review", "postedDate" : "2026-06-15T06:58:57.000", "createdAt" : "2026-06-16T00:02:55.349", "lastUpdated" : "2026-06-16T09:03:00.306", "ingestTimestamp" : "2026-06-16T00:02:55.349", "mongoId" : "6a30611af292fd229cf952d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Object-oriented programming", "Web development", "Microservices", "Cloud environments", "CI/CD pipelines", "Web security", "Java", "Spring Boot", "Azure", "Code review", "System design", "Agile/Scrum activities", "Agile", "Scrum", "Web-based technologies", "JPA", "Hibernate", "ReactJS", "Angular", "VueJS", "KnockoutJS", "ChatGPT", "Claude", "Gemini", "GitHub Copilot", "Cursor", "Claude Code" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 1020.8353, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ee74d8ee00a0986e5e", "title" : "Senior Platform Engineer", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Platform Engineer in Poland, adjusted for seniority and industry." }, "location" : "Poland", "locations" : [ "Poland" ], "certifications" : [ "Azure certifications", "Databricks certifications" ], "timestamp" : "2026-06-15T07:14:59.460", "fingerprint" : "107f18a4a0f47a2b4435cb694f3805f794bdadbd6a09c36279ce46e1bbc298ff", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6012319004", "externalId" : "6012319004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, Databricks, Docker, Kubernetes, Salesforce, CRM", "professionalSkills" : [ "Platform design", "Data engineering", "Analytics workflows", "Infrastructure setup", "Environment management", "Automation", "Standardization" ], "hardSkillsList" : [ "Data platform infrastructure", "CI CD pipelines", "Deployment pipelines", "Orchestration mechanisms", "Data pipelines", "Ingestion frameworks", "Containerization", "Platform tooling", "Monitoring", "Logging", "Alerting" ], "hardSkills" : [ { "name" : "Data platform infrastructure", "level" : "intermediate" }, { "name" : "CI CD pipelines", "level" : "intermediate" }, { "name" : "Deployment pipelines", "level" : "intermediate" }, { "name" : "Orchestration mechanisms", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Ingestion frameworks", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Platform tooling", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Logging", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" } ], "majorSkills" : "Platform Engineering, Data Platforms, Azure, Databricks", "majorSkillsList" : [ "Platform Engineering", "Data Platforms", "Azure", "Databricks" ], "coreResponsibilities" : "Set up infrastructure in Azure, Configure infrastructure in Databricks, Design CI CD pipelines, Implement CI CD pipelines, Design deployment pipelines, Implement deployment pipelines, Establish environments, Manage environments, Build orchestration mechanisms, Maintain orchestration mechanisms, Build scheduling mechanisms, Maintain scheduling mechanisms, Ensure platform scalability, Ensure platform reliability, Ensure platform performance, Collaborate with Data Engineers, Collaborate with Architects, Support automation, Support standardization", "teamCollaboration" : "Data Engineers; Architects", "domainKnowledge" : "Data platforms; Distributed data processing; Data pipelines; Ingestion frameworks; Cloud data platforms; Agent-based workflows; Automation patterns; AI-augmented development", "domainList" : [ "data-platforms", "distributed-data-processing", "data-pipelines", "ingestion-frameworks", "cloud-data-platforms", "agent-based-workflows", "automation-patterns", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "Data platforms", "Distributed data processing", "Data pipelines", "Ingestion frameworks", "Cloud data platforms", "Agent-based workflows", "Automation patterns", "AI-augmented development" ], "toolProficiency" : [ "Azure", "Databricks", "Docker", "Kubernetes", "Argo", "GitHub Copilot", "Claude Code", "Cursor" ], "continuousLearning" : "Knowledge sharing; Growth and knowledge sharing; Explore and experiment", "innovationCreativity" : "AI-driven practices; Agent-based workflows; Automation patterns; AI-augmented development", "specialRequirements" : "Work from EU region, Work permit required", "outcomesObjectives" : "Build data platform; Stabilize data platform", "qualificationsBasic" : "Proven experience Platform Engineer, Proven experience DevOps Engineer, Proven experience Data Platform Engineer, Experience with Azure cloud, Hands on experience Databricks, Experience with CI CD pipelines, Experience with infrastructure as code, Experience working with data platforms, Understanding distributed data processing, Experience with orchestration tools, Experience supporting data pipelines, Experience supporting ingestion frameworks, Knowledge of containerization, Knowledge of platform tooling, Experience setting up monitoring, Experience setting up logging, Experience setting up alerting, Ability to work integration heavy, Practical experience AI assistants", "qualificationsPreferred" : "Experience with Salesforce, Experience with CRM ecosystems, Knowledge of security, Knowledge of governance, Knowledge of access control, Experience with performance optimization, Experience in enterprise industries, Experience in regulated industries, Certifications Azure, Certifications Databricks, Familiarity emerging AI-driven practices, Willingness to explore and experiment", "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: seting up and configuring the data platform infrastructure in Azure and Databricks, designing and implementing CI CD and deployment pipelines for data workloads, establishing and managing environments (dev, test, prod), building and maintaining orchestration and scheduling mechanisms for data pipelines, ensuring platform scalability, reliability, and performance, collaborating closely with Data Engineers and Architects on platform design decisions, supporting automation and standardization of data platform operations. We are looking for a Senior Platform Engineer to support an engagement focused on building and stabilizing a data platform on Azure and Databricks, integrating data from CRM systems such as Salesforce. The role focuses on infrastructure setup, environment management, CI CD, and ensuring the reliability of the platform supporting data engineering and analytics workflows. Your profile: proven experience as a Platform Engineer, DevOps Engineer, or Data Platform Engineer, strong experience with Azure cloud Hands on experience with Databricks, experience with CI CD pipelines and infrastructure as code, experience working with data platforms (not only application infrastructure), understanding of distributed data processing environments, experience with orchestration tools or workflow engines (for example Argo or similar), experience supporting data pipelines and ingestion frameworks, knowledge of containerization and platform tooling (for example Docker, Kubernetes), experience setting up monitoring, logging, and alerting for data platforms, ability to work in integration heavy environments, 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: experience with Salesforce or CRM based data ecosystems, knowledge of security, governance, and access control mechanisms in cloud data platforms, experience with performance optimization in distributed environments, experience in enterprise or regulated industries, certifications related to Azure or Databricks, 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" : "Senior Platform Engineer at Xebia. Skills: Platform Engineering, Data Platforms, Azure, Databricks. Set up infrastructure in Azure. Configure infrastructure in Databricks", "postedDate" : "2026-06-13T21:27:00.734", "createdAt" : "2026-06-13T21:27:00.734", "lastUpdated" : "2026-06-15T07:14:59.460", "ingestTimestamp" : "2026-06-13T21:27:00.734", "mongoId" : "6a2c92ee74d8ee00a0986e5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data platform infrastructure", "CI CD pipelines", "Deployment pipelines", "Orchestration mechanisms", "Data pipelines", "Ingestion frameworks", "Containerization", "Platform tooling", "Monitoring", "Logging", "Alerting", "Platform Engineering", "Data Platforms", "Azure", "Databricks", "Platform design", "Data engineering", "Analytics workflows", "Infrastructure setup", "Environment management", "Automation", "Standardization", "Data platforms", "Distributed data processing", "Cloud data platforms", "Agent-based workflows", "Automation patterns", "AI-augmented development", "Azure certifications", "Databricks certifications", "Docker", "Kubernetes", "Argo", "GitHub Copilot", "Claude Code", "Cursor" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 992.4223, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca57974d8ee00a09b6af4", "title" : "Data Lead (Advisory)", "company" : "Alpha Financial Markets Consulting", "industry" : "Consulting", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data role in London, adjusted for the financial consulting industry and company size." }, "location" : "London, Greater London, England, United Kingdom", "locations" : [ "London", "Greater London", "England", "United Kingdom" ], "timestamp" : "2026-06-15T09:31:35.534", "fingerprint" : "d576f2c0cbb1e36badd976fccadbc2bfb27dffd4524ddb90eea9df30d5ee0d25", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphafmcroles/jobs/8371737002", "externalId" : "8371737002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Greater London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5156177,-0.0919983" } ], "locationText" : "London, Greater London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Data modelling, Data architecture, Data management, System integration, Data warehousing, BI tools, Data lineage, Cloud data architectures, Modern data stack", "professionalSkills" : [ "Strategic consulting", "Technical design", "Integration frameworks", "Enterprise performance management", "Client advisory", "Technical sales" ], "hardSkillsList" : [ "Data lineage", "Architecture design", "System integration planning", "Connector/APIs inventories", "Data warehousing", "BI reporting", "Data migration", "Data integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "System integration planning", "level" : "intermediate" }, { "name" : "Connector/APIs inventories", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "BI reporting", "level" : "intermediate" }, { "name" : "Data migration", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data modelling, Data architecture, System integration, Client advisory", "majorSkillsList" : [ "Data modelling", "Data architecture", "System integration", "Client advisory" ], "coreResponsibilities" : "Own private market data model, Evolve private market data model, Maintain system integration inventories, Manage system integration inventories, Design integration frameworks, Support enterprise performance management solutions, Advise on data warehousing, Advise on BI/reporting, Translate requirements into technical solutions, Support business growth, Oversee scoping of data migration, Oversee design of data migration, Facilitate collaboration between consultants and technology teams, Drive project delivery", "teamCollaboration" : "Management consulting teams; Technical delivery units; Advisory consultants; Technology teams", "projectManagementSkills" : [ "Scoping", "Design" ], "domainKnowledge" : "Private market data; Alternative investment; Financial services; Private equity; Private debt; Credit; Infrastructure; Alternative investments; Private markets", "domainList" : [ "private-market-data", "alternative-investment", "financial-services", "private-equity", "private-debt", "credit", "infrastructure", "alternative-investments", "private-markets" ], "domainSpecificKnowledge" : [ "Private market data", "Alternative investment", "Financial services", "Private equity", "Private debt", "Credit", "Infrastructure", "Alternative investments", "Private markets" ], "toolProficiency" : [ "System connectors", "APIs" ], "communicationSkills" : "Client advisory; Simplifying technical concepts; Technical sales", "innovationCreativity" : "Innovations", "problemSolvingSkills" : "Resolve challenges; Address challenges", "outcomesObjectives" : "Drives impactful business decisions", "qualificationsBasic" : "Proven experience in data modelling, Proven experience in data architecture, Proven experience in data management, Knowledge of private market data, Knowledge of alternative investment applications, Hands-on experience with system integration planning, Hands-on experience managing connector/APIs inventories, Familiarity with data warehousing, Familiarity with BI tools, Familiarity with data lineage methodologies, Exceptional communication skills, Skilled in scoping complex data migrations, Skilled in designing complex data migrations, Skilled in scoping complex data integrations, Skilled in designing complex data integrations, Sales-minded approach, Experience supporting technical sales processes, Collaborative, Proactive, Adept at navigating between business and technical teams", "qualificationsPreferred" : "Background in consulting, Background in financial services, Background in technology supporting alternatives/private markets, Experience with BPM/EPM solutions, Knowledge of cloud data architectures, Knowledge of modern data stack technologies", "rawDescription" : "About Alpha Group Alpha Group is a leading global consultancy to the financial services industry. Founded in 2003, Alpha has spent over 20 years bringing together specialist, sector-focused strategy, management consulting, and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives, and insurance industries, Alpha is a trusted advisor for complex change programs. We now have over 1,180 consultants working with clients across North America, the UK, Europe, the Middle East, and APAC. In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. Many of our team have built long and fulfilling careers with us, often staying for over a decade. Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others, and thrive. As we look to the future, we’re excited to be looking for new Alpha colleagues—individuals who are collaborative, innovative, and ambitious. We hope you will join us and help shape the next chapter of our growth journey. About Alpha Alternatives Alpha Alternatives, a part of Alpha Group, is a fast-growing global consulting firm, focused on leading digital and operational transformation projects for the alternative investment industry (consisting of private equity, real estate, private debt, credit, and infrastructure). We are known for our expertise, innovation, and commitment to delivering exceptional value to our clients. Our people work side by side with our clients to help them identify, address, and resolve the key operational and technology challenges within alternative investments and financial services firms. We often find that some of the best innovations come from within, and our role is to help empower client teams to drive the change that is required. Collaborating and supporting our clients are the key attributes we look for in our consultants as well as professionals who have experienced the challenges and enabling technologies firsthand. We’re Hiring: Data Lead – Advisory / Alternative Advisory Are you a technically skilled, business-savvy data professional passionate about alternative investments and private markets? Join our Advisory practice as a Data Lead and play a pivotal role bridging cutting-edge data architecture with strategic consulting. About the Role: As our Alternatives Data Lead, you will own the Private Market data model and architecture best practices, acting as the critical link between management consulting teams and technical delivery units. You will spearhead vendor technical designs, blueprint integration frameworks, and manage an extensive system connector inventory — ensuring seamless data integration and migration that drives impactful business decisions. What You’ll Do: Own and evolve the private market data model with a deep understanding of data lineage and architecture design principles Maintain and manage system integration inventories, staying ahead of technical capabilities and innovations Collaborate with technical teams to design robust integration frameworks and support enterprise performance management solutions Function as a trusted client advisor, simplifying technical concepts around data warehousing and BI/reporting for diverse audiences Support business growth by translating complex requirements into technical solutions and contributing to sales engagements Oversee scoping and design of scalable data migration initiatives Facilitate effective collaboration between advisory consultants and technology teams to drive successful project delivery What We’re Looking For: Proven experience in data modelling, data architecture, or data management within consulting or technology contexts Strong knowledge of private market data and alternative investment applications Hands-on experience with system integration planning and managing connector/APIs inventories Familiarity with data warehousing, BI tools, and data lineage methodologies Exceptional communication skills with the ability to advise both technical and non-technical stakeholders Skilled in scoping and designing complex data migrations and integrations (coding not required) A sales-minded approach with experience supporting technical sales processes Collaborative, proactive, and adept at navigating between business and technical teams Preferred: Background in consulting, financial services, or technology supporting alternatives/private markets Experience with BPM/EPM solutions Knowledge of cloud data architectures and modern data stack technologies Ready to drive data innovation in alternative investments? Apply now to join our expert Advisory practice and shape the future of private market data.", "summaryDescription" : "Data Lead (Advisory) at Alpha Financial Markets Consulting. Skills: Data modelling, Data architecture, System integration, Client advisory. Own private market data model. Evolve private market data model", "postedDate" : "2026-06-14T06:27:10.740", "createdAt" : "2026-06-14T06:27:10.740", "lastUpdated" : "2026-06-15T09:31:35.534", "ingestTimestamp" : "2026-06-14T06:27:10.740", "mongoId" : "6a2ca57974d8ee00a09b6af4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data lineage", "Architecture design", "System integration planning", "Connector/APIs inventories", "Data warehousing", "BI reporting", "Data migration", "Data integration", "Leadership", "Data modelling", "Data architecture", "System integration", "Client advisory", "Strategic consulting", "Technical design", "Integration frameworks", "Enterprise performance management", "Technical sales", "Scoping", "Design", "Private market data", "Alternative investment", "Financial services", "Private equity", "Private debt", "Credit", "Infrastructure", "Alternative investments", "Private markets", "System connectors", "APIs" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 990.4938, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305acdf292fd229cf55bcf", "title" : "Azure Platform Engineer", "company" : "Alpha Financial Markets Consulting", "industry" : "Consulting", "salary" : { "min" : 75.0, "max" : 90.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "Azure Administrator", "Azure DevOps Engineer", "Azure Architect" ], "timestamp" : "2026-06-16T07:18:27.750", "fingerprint" : "308a43bec8165e7852195f3212980f6d01d3b8471455d76157eb32f49058ee6c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphafmcroles/jobs/8592470002", "externalId" : "8592470002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, DevOps, CI/CD, Infrastructure-as-Code, Terraform, Bicep, VNETs, NSGs, Private endpoints, VPN, ExpressRoute, App Services, Azure SQL, Azure DevOps, Azure Policy, Defender for Cloud, Azure Key Vault", "professionalSkills" : [ "Platform ownership", "Infrastructure governance", "Deployment standards", "Compliance embedding", "Security controls", "Cost governance", "Resource optimization" ], "hardSkillsList" : [ "Cloud infrastructure", "IaC strategy", "Networking configuration", "Identity management", "Role-based access", "Pipeline design", "Deployment patterns", "Approval gates", "Rollback strategies", "Code review", "Version control", "Change traceability", "Secrets management", "Certificate management", "Audit traceability", "Disaster recovery", "Business continuity", "Operational runbooks" ], "hardSkills" : [ { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "IaC strategy", "level" : "intermediate" }, { "name" : "Networking configuration", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "Role-based access", "level" : "intermediate" }, { "name" : "Pipeline design", "level" : "intermediate" }, { "name" : "Deployment patterns", "level" : "intermediate" }, { "name" : "Approval gates", "level" : "intermediate" }, { "name" : "Rollback strategies", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Change traceability", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "Certificate management", "level" : "intermediate" }, { "name" : "Audit traceability", "level" : "intermediate" }, { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "Business continuity", "level" : "intermediate" }, { "name" : "Operational runbooks", "level" : "intermediate" } ], "majorSkills" : "Azure Platform Engineering, Infrastructure as Code, CI/CD Pipelines, Cloud Security", "majorSkillsList" : [ "Azure Platform Engineering", "Infrastructure as Code", "CI/CD Pipelines", "Cloud Security" ], "coreResponsibilities" : "Lead design of Azure foundation, Oversee Azure environment structure, Oversee CI/CD standards, Oversee infrastructure-as-code strategy, Provision and manage cloud resources via IaC, Ensure repeatability, auditability, and compliance, Ensure cloud foundation is secure, Ensure cloud foundation is standardized, Ensure cloud foundation is auditable, Ensure cloud foundation is production-ready, Establish and manage dev environments, Establish and manage test environments, Establish and manage production environments, Define secure networking, Define identity boundaries, Define role-based access boundaries, Configure VNETs, Configure NSGs, Configure private endpoints, Configure hybrid connectivity, Establish standardized patterns for App Services, Establish standardized patterns for Azure SQL, Establish standardized patterns for storage, Establish standardized patterns for shared services, Define platform standards, Design standardized CI/CD pipelines, Maintain standardized CI/CD pipelines, Develop reusable pipeline templates, Develop reusable release patterns, Implement approval gates, Implement rollback strategies, Implement deployment controls, Ensure consistent deployment practices, Execute infrastructure deployments through CI/CD pipelines, Provision infrastructure via IaC templates, Provision infrastructure via Terraform, Provision infrastructure via Bicep, Maintain infrastructure via Terraform, Maintain infrastructure via Bicep, Enforce code review for infrastructure changes, Enforce version control for infrastructure changes, Enforce change traceability for infrastructure changes, Prevent manual configuration drift, Embed FedRAMP Moderate controls, Implement centralized logging, Implement monitoring, Implement retention policies, Configure Azure Policy, Configure Defender for Cloud guardrails, Establish secrets management, Establish certificate management, Support disaster recovery planning, Support business continuity planning, Support disaster recovery testing, Support business continuity testing, Support production deployments, Support release windows, Troubleshoot infrastructure issues, Troubleshoot pipeline issues, Define platform standards, Maintain operational runbooks, Implement cost governance, Implement resource optimization strategies", "teamCollaboration" : "Application engineers; Application teams", "domainKnowledge" : "FedRAMP Moderate; Cloud-native architecture", "domainList" : [ "fedramp-moderate", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "FedRAMP Moderate", "Cloud-native architecture" ], "toolProficiency" : [ "Azure DevOps", "Terraform", "Bicep", "Azure Key Vault" ], "documentationSkills" : "Operational runbooks", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Infrequent travel, Work schedule 8:30am - 5:30pm EST, No sponsorship available, Contract approx. 6 months", "qualificationsBasic" : "Bachelors’ degree in a related field, 5 years' experience in DevOps, platform engineering, or cloud infrastructure, Hands-on Azure experience in regulated or audit-sensitive environments, Azure DevOps CI/CD pipeline design experience, Demonstrated ownership of enterprise-scale Infrastructure-as-Code programs (Terraform), Governance and enforcement of IaC-only deployment standards, Experience embedding compliance and security controls into cloud platforms, Working knowledge of FedRAMP Moderate or comparable compliance frameworks", "qualificationsPreferred" : "Experience supporting municipal or public sector programs, Leading on-premises to Azure migrations, Azure certifications (Administrator, DevOps Engineer, Architect)", "remoteFriendly" : true, "rawDescription" : "Azure Platform Engineer Role Summary We are seeking an Azure Platform Engineer to lead the design and ongoing ownership of the Azure foundation supporting a multi-year municipal modernization program. This role helps to oversee Azure environment structure, CI/CD standards, and infrastructure-as-code strategy. All cloud resources must be provisioned and managed via IaC to ensure repeatability, auditability, and compliance across the program. This is a hands-on engineering role with platform ownership responsibilities. Application engineers will rebuild business logic; this role ensures the cloud foundation they deploy into is secure, standardized, auditable, and production-ready. Key Responsibilities Platform Architecture & Environment Ownership Establish and manage dev, test, and production environments with strict separation Define secure networking, identity, and role-based access boundaries Configure VNETs, NSGs, private endpoints, and hybrid connectivity (VPN / ExpressRoute) Establish standardized patterns for App Services, Azure SQL, storage, and shared services Define platform standards to be used consistently across consolidated applications CI/CD & Deployment Standards Design and maintain standardized CI/CD pipelines in Azure DevOps Develop reusable pipeline templates and release patterns Implement approval gates, rollback strategies, and deployment controls aligned to audit requirements Ensure consistent deployment practices across application teams Ensure all infrastructure deployments are executed through CI/CD pipelines using IaC templates (no manual provisioning) Infrastructure as Code All infrastructure must be provisioned and maintained via Terraform or Bicep Establish IaC as the only approved deployment mechanism for cloud resources Enforce code review, version control, and change traceability for all infrastructure changes Prevent manual configuration drift across environments Security, Compliance & Observability Embed FedRAMP Moderate–aligned controls into platform design Implement centralized logging, monitoring, and retention policies Configure Azure Policy and Defender for Cloud guardrails Implement secrets and certificate management using Azure Key Vault Establish audit traceability for infrastructure and deployment changes Support disaster recovery and business continuity planning and testing Operational Excellence Support production deployments and release windows Troubleshoot infrastructure and pipeline issues Define and maintain platform standards and operational runbooks Implement cost governance and resource optimization strategies Required Qualifications A Bachelors’ degree in a related field, along with at least 5 years' experience in DevOps, platform engineering, or cloud infrastructure Strong hands-on Azure experience in regulated or audit-sensitive environments Experience with Azure DevOps CI/CD pipeline design Demonstrated ownership of enterprise-scale Infrastructure-as-Code programs (Terraform), including governance and enforcement of IaC-only deployment standards Experience embedding compliance and security controls into cloud platforms Working knowledge of FedRAMP Moderate or comparable compliance frameworks Preferred Experience supporting municipal or public sector programs Experience leading on-premises to Azure migrations Azure certifications (Administrator, DevOps Engineer, Architect) Other Info This position may require infrequent though unlikely travel (to client sites). Team members must be able to accommodate a working schedule of 8:30am - 5:30p EST Monday through Friday. No agencies, please: unsolicited agency communications will be blocked, unsolicited candidate profiles will be considered direct applicants. Applicants must be authorized to work in the U. S. without the need for employment-based visa sponsorship now or in the future. Alpha will not sponsor applicants for U. S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) Contractor may be hired as W2 through a Partner agency. Contract is expected to be approx. 6 months. Pay Information There are a wide range of factors that are considered in making compensation decisions including but not limited to - skill sets, experience and training, and licensure and certifications. A reasonable estimate of the pay rate is $75 - $90/hr (subject to change).", "summaryDescription" : "Azure Platform Engineer at Alpha Financial Markets Consulting. Skills: Azure Platform Engineering, Infrastructure as Code, CI/CD Pipelines, Cloud Security. Lead design of Azure foundation. Oversee Azure environment structure", "postedDate" : "2026-06-15T23:26:44.334", "createdAt" : "2026-06-15T23:26:44.334", "lastUpdated" : "2026-06-16T07:18:27.750", "ingestTimestamp" : "2026-06-15T23:26:44.334", "mongoId" : "6a305acdf292fd229cf55bcf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 156000, "salaryAnnualMax" : 187200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud infrastructure", "IaC strategy", "Networking configuration", "Identity management", "Role-based access", "Pipeline design", "Deployment patterns", "Approval gates", "Rollback strategies", "Code review", "Version control", "Change traceability", "Secrets management", "Certificate management", "Audit traceability", "Disaster recovery", "Business continuity", "Operational runbooks", "Azure Platform Engineering", "Infrastructure as Code", "CI/CD Pipelines", "Cloud Security", "Platform ownership", "Infrastructure governance", "Deployment standards", "Compliance embedding", "Security controls", "Cost governance", "Resource optimization", "FedRAMP Moderate", "Cloud-native architecture", "Azure Administrator", "Azure DevOps Engineer", "Azure Architect", "Azure DevOps", "Terraform", "Bicep", "Azure Key Vault" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 971.9039, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a1e0f292fd229c116c56", "title" : "Senior Data Engineer", "company" : "Gallup", "salary" : { "min" : 230000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:24:53.943", "fingerprint" : "75e2648f219c2ea98b4cdf32a81a8202a15768fa46a084291bf7dfef22b7744d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4245872009", "externalId" : "4245872009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Machine learning", "Statistical analysis", "Quantitative analysis", "Cloud computing", "Software development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Algorithm design", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud infrastructure management", "API development", "Version control", "Testing and debugging" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Cloud infrastructure management", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Testing and debugging", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Machine Learning, Data Warehousing, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "Machine Learning", "Data Warehousing", "Business Intelligence" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize ETL/ELT processes, Build and manage data warehouses and data lakes, Implement and maintain data models, Develop and deploy machine learning models, Create and maintain business intelligence dashboards and reports, Collaborate with stakeholders to understand data requirements, Ensure data quality and integrity, Monitor and troubleshoot data systems, Optimize data infrastructure for performance and cost, Stay up-to-date with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Data scientists; Analysts; Software engineers; Product managers; Business stakeholders", "projectManagementSkills" : [ "Agile methodologies", "Scrum", "Project planning", "Task prioritization" ], "domainKnowledge" : "Data engineering principles; Machine learning algorithms; Statistical methods; Cloud data services; Data warehousing concepts; Business intelligence best practices", "domainList" : [ "data-engineering-principles", "machine-learning-algorithms", "statistical-methods", "cloud-data-services", "data-warehousing-concepts", "business-intelligence-best-practices" ], "domainSpecificKnowledge" : [ "Data engineering principles", "Machine learning algorithms", "Statistical methods", "Cloud data services", "Data warehousing concepts", "Business intelligence best practices" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Technical presentations; Data storytelling; Stakeholder communication", "documentationSkills" : "Technical documentation; Data dictionary maintenance; Architecture diagrams", "continuousLearning" : "Professional development; Staying current with technology", "problemSolvingSkills" : "Analytical thinking; Root cause analysis; Troubleshooting; Data-driven decision making", "outcomesObjectives" : "Improve data accessibility; Enhance data quality; Drive data-informed decisions; Deliver reliable data solutions", "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with workflow orchestration tools (Airflow, Prefect, Dagster), Experience with CI/CD practices, Experience with data modeling techniques, Experience with distributed computing frameworks (Spark, Hadoop)", "remoteFriendly" : false, "rawDescription" : "Build the data foundation that powers Gallup’s products, analytics and AI innovation. As a senior data engineer at Gallup, you’ll design and build the production data systems that enable high-quality, analytics-ready data across our product and research teams. You’ll translate architectural vision into scalable pipelines, resilient data models and reliable operational workflows, helping Gallup modernize legacy systems and accelerate our AI ambitions. What You’ll Do Design and implement reliable, scalable data pipelines that ingest, process and serve structured and unstructured data across Gallup Build transformation pipelines that convert raw data into high-quality datasets for analytics and experimentation Implement layered data models (raw → curated → semantic) to support analytics, experimentation and AI/ML workflows, with attention to reproducibility and data lineage Translate architectural patterns into production-grade pipelines, models and infrastructure Design systems for reliability, scalability and maintainability in complex, evolving environments Implement monitoring, alerting and automated data quality checks to improve reliability and observability Support incident response, root cause analysis and operational improvements Establish and contribute to standards for data modeling, pipeline design and operational workflows Work closely with product managers, analysts, data scientists and software engineers to understand data needs and build scalable solutions Help teams transition from manual and legacy workflows to automated, modern data systems Mentor engineers through code reviews and architectural discussions What Makes You Stand Out Execution excellence: You have built and operated production data systems and understand the realities of running pipelines reliably at scale. Practical problem solver: You bring sound engineering judgment to incomplete documentation, legacy workflows and evolving requirements. You make thoughtful tradeoffs and sequence work intelligently. Modern data builder: You are fluent in ingestion frameworks, transformation pipelines and layered data modeling, and you translate architectural direction into clean, production-grade implementations. Collaborative partner: You enjoy working across product, analytics and engineering teams and can translate business needs into scalable technical capabilities. AI-forward mindset: You are curious about AI and modern tooling, experiment beyond your day job, and think intentionally about how data modeling and accessibility support AI systems and reproducibility. What You Need Bachelor’s or master’s degree in computer science, engineering or a related field, or equivalent experience required At least five years of experience in data engineering or backend engineering focused on data systems required Strong SQL skills and deep understanding of data modeling required Experience designing and operating production data pipelines required Experience with orchestration tools such as Airflow or Dagster required Experience running dbt workflows or similar transformation frameworks required Hands-on experience with cloud data platforms such as Snowflake, Databricks or BigQuery required Strong programming experience in Python or similar languages required Experience implementing data quality, monitoring or observability frameworks required Experience leading or participating in data platform modernization or migration from legacy environments strongly preferred Experience with AWS preferred Experience partnering directly with nontechnical stakeholders and influencing business decisions from a technical lens preferred Experience working closely with AI teams in environments where data quality and reproducibility are critical preferred A commitment to working on-site at Gallup’s San Francisco office at least three days per week required About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $230,000-$280,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KW1", "summaryDescription" : "Senior Data Engineer at Gallup. Skills: Data Engineering, Machine Learning, Data Warehousing, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes", "postedDate" : "2026-06-16T03:16:46.090", "createdAt" : "2026-06-16T03:16:46.090", "lastUpdated" : "2026-06-16T12:24:53.943", "ingestTimestamp" : "2026-06-16T03:16:46.090", "mongoId" : "6a30a1e0f292fd229c116c56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 230000, "salaryAnnualMax" : 280000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Algorithm design", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud infrastructure management", "API development", "Version control", "Testing and debugging", "Data Engineering", "Machine Learning", "Data Warehousing", "Business Intelligence", "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Machine learning", "Statistical analysis", "Quantitative analysis", "Cloud computing", "Software development", "Agile methodologies", "Scrum", "Project planning", "Task prioritization", "Data engineering principles", "Machine learning algorithms", "Statistical methods", "Cloud data services", "Data warehousing concepts", "Business intelligence best practices", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 966.0966, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306853f292fd229cfc357b", "title" : "Azure Cloud Engineer", "company" : "Inetum", "industry" : "Computer Software", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Azure Cloud Engineer in Mechelen, Belgium, adjusted for the technology industry and company size." }, "location" : "Belgium, mechelen, BE", "locations" : [ "Belgium", "mechelen", "BE" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T10:57:25.008", "fingerprint" : "d95f65f223acb1a1faf7aaa3ef759f20f8488f9e2ac0daed435982c7d8ac1999", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Inetum2/744000132139319-azure-cloud-engineer", "externalId" : "744000132139319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mechelen", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.0281381,4.4803453" } ], "locationText" : "Mechelen, Belgium", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Kubernetes, Docker, Terraform, Bicep, Ansible, PowerShell, Python, ARM, Azure DevOps, GitHub, Logic Apps, Container Apps, Application Gateway", "professionalSkills" : [ "Cloud Governance", "Problem-solving" ], "hardSkillsList" : [ "Infrastructure as Code", "Scripting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Azure Cloud, Infrastructure as Code, Containerization", "majorSkillsList" : [ "Azure Cloud", "Infrastructure as Code", "Containerization" ], "coreResponsibilities" : "Design Azure cloud infrastructure, Implement Azure cloud infrastructure, Design hybrid cloud environments, Implement hybrid cloud environments, Configure container platforms, Manage container platforms, Automate processes using Infrastructure as Code, Manage Cloud Governance, Monitor Cloud Governance, Optimize Cloud Governance, Provide support for incidents, Provide support for changes, Support customer projects, Support customer implementations, Advise clients on Azure best practices, Advise clients on emerging technologies, Advise internal teams on Azure best practices, Advise internal teams on emerging technologies", "teamCollaboration" : "Internal teams; Customer projects", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Cloud infrastructure; Hybrid cloud; Container platforms; Cloud Governance; Azure PaaS services", "domainList" : [ "cloud-infrastructure", "hybrid-cloud", "container-platforms", "cloud-governance", "azure-paas-services" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Hybrid cloud", "Container platforms", "Cloud Governance", "Azure PaaS services" ], "toolProficiency" : [ "Terraform", "Bicep", "Ansible", "Azure DevOps", "GitHub", "Docker", "Kubernetes" ], "communicationSkills" : "Client advisory; Internal advisory", "continuousLearning" : "Certifications; Training; Skill development plan", "innovationCreativity" : "Emerging technologies", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Troubleshooting", "specialRequirements" : "Level 2/3 support, Work across Belgium", "qualificationsBasic" : "Bachelor’s or Master’s degree in IT or equivalent experience, Minimum of 3 years of experience with Microsoft Azure, Experience with monitoring tools and cloud security principles, Analytical and problem-solving skills, Excellent communication skills in Dutch and English", "qualificationsPreferred" : "Azure certifications are a plus, Experience with container technologies (Kubernetes, Docker) and virtualization is a plus, French is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Inetum is a European leader in digital services. Every day, the Group's 28,000 consultants and specialists aim to make a digital impact for businesses, public sector bodies and society as a whole: solutions that contribute to performance, innovation and the common good. Present in 19 countries, close to the regions, and with its major software publisher partners, Inetum meets the challenges of digital transformation with proximity and flexibility. Driven by its ambition to grow and industrialize, Inetum generated sales of €2.5 billion in 2023. In response to a market that has been growing steadily for over 30 years, Inetum has made the deliberate choice to refocus on 4 core businesses in order to gain strength and offer customized solutions tailored to the specific needs of its customers: consulting (Inetum Consulting), infrastructure and application management (Inetum Technologies), software implementation (Inetum Solutions) and its own software publishing business (Inetum Software). Inetum has forged strategic partnerships with 4 of the world's leading software publishers - Salesforce, ServiceNow, Microsoft and SAP - and is pursuing a dedicated acquisition strategy to become one of Europe's top 5 in these technologies, and offer the best expertise to its customers. At Inetum Belgium, we offer more than just a job; we provide an inspiring environment and opportunities for growth and development. We strive to create a workplace where you can harness your talents, contribute to challenging projects, and be part of a leading IT consultancy group. To support the exponential growth of our Azure practice, we are looking for several Azure Cloud Engineers. Here’s how you’ll make impact: * Design and implement Azure cloud infrastructure and hybrid cloud environments. * Configure and manage container platforms (Kubernetes, Docker) within Azure. * Automate processes using Infrastructure as Code (Terraform, Bicep, Ansible). * Cloud Governance: manage, monitor, and optimize cost, performance, security, compliance, and policies in Azure. * Provide support for incidents and changes at level 2/3. * Actively support projects and implementations for customers across Belgium. * Advise clients and internal teams on Azure best practices and emerging technologies. * Experience with Azure DevOps and/or GitHub is a strong asset. * Experience managing Azure PaaS services such as Logic Apps, Container Apps, Application Gateway, etc., is a strong asset. ## Qualifications Your Profile * Bachelor’s or Master’s degree in IT or equivalent experience. * Minimum of 3 years of experience with Microsoft Azure (certifications are a plus). * Experience with container technologies (Kubernetes, Docker) and virtualization is a plus. * Knowledge of scripting (PowerShell, Python) and Infrastructure as Code (Bicep, ARM, Terraform, etc.). * Experience with monitoring tools and cloud security principles. * Strong analytical and problem-solving skills. * Excellent communication skills in Dutch and English (French is a plus). * Medior or Senior level: able to work independently and take responsibility. What We Offer * A challenging role in a dynamic environment. * A permanent full-time position (payroll) with flexible work arrangements and an attractive salary package. * Opportunities for certifications and training, supported by a strong skill and growth plan tailored to the employee. * Be part of an innovative team that takes cloud solutions to the next level. ## Additional Information Discover Your Future with Inetum Belgium * Make a Difference with a Meaningful Career : step into a role where your work truly matters. At Inetum Belgium, you’ll have the chance to impact lives and drive meaningful change every day. * Grow and Evolve Professionally: embrace a culture of continuous learning and development. We offer a range of training opportunities designed to help you expand your skills and advance your career. * Unlock Relevant Career Opportunities : pursue the career path you’ve always dreamed of with tailored opportunities and the IT expertise you need to succeed. * Achieve Work-Life Balance: we value your well-being. Enjoy flexible working hours, the convenience of satellite offices, the comfort of home working, and an informal, no-nonsense environment. * Enjoy Generous Annual Leave : life is more than just work. Take advantage of 32 days of annual leave to relax and recharge. * Travel in Comfort: forget the hassle of commuting. We provide a company car and a national fuel/charging card to keep you on the move. Prefer a different option? You can choose a mobility allowance instead. * Comprehensive Insurance Coverage : your health and security are our priorities. Benefit from group insurance and hospitalization insurance that show we care. * Attractive Compensation Package : we offer a competitive gross salary to recognize and appreciate your hard work.", "summaryDescription" : "Azure Cloud Engineer at Inetum. Skills: Azure Cloud, Infrastructure as Code, Containerization. Design Azure cloud infrastructure. Implement Azure cloud infrastructure", "postedDate" : "2026-06-15T08:17:49.000", "createdAt" : "2026-06-16T00:08:27.198", "lastUpdated" : "2026-06-16T10:57:25.008", "ingestTimestamp" : "2026-06-16T00:08:27.198", "mongoId" : "6a306853f292fd229cfc357b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Infrastructure as Code", "Scripting", "Leadership", "Azure Cloud", "Containerization", "Cloud Governance", "Problem-solving", "Agile", "Cloud infrastructure", "Hybrid cloud", "Container platforms", "Azure PaaS services", "Azure certifications", "Terraform", "Bicep", "Ansible", "Azure DevOps", "GitHub", "Docker", "Kubernetes" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 957.0032, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3064adf292fd229cfa2641", "title" : "Azure Cloud Engineer", "company" : "Inetum", "industry" : "Computer Software", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Azure Cloud Engineer in Mechelen, Belgium, adjusted for the technology industry and company size." }, "location" : "Belgium, mechelen, BE", "locations" : [ "Belgium", "mechelen", "BE" ], "certifications" : [ "Azure certifications" ], "timestamp" : "2026-06-16T11:52:19.635", "fingerprint" : "278ab424084a71c0a9895728852bc64c7c2d51aa7dc0a738227b5159c548adda", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Inetum2/744000132139319-azure-cloud-engineer", "externalId" : "744000132139319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mechelen", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.0281381,4.4803453" } ], "locationText" : "Mechelen, Belgium", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure, Kubernetes, Docker, Terraform, Bicep, Ansible, PowerShell, Python, ARM, Logic Apps, Container Apps, Application Gateway, Azure DevOps, GitHub", "professionalSkills" : [ "Problem-solving skills", "Analytical skills" ], "hardSkillsList" : [ "Cloud governance", "Infrastructure automation" ], "hardSkills" : [ { "name" : "Cloud governance", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" } ], "majorSkills" : "Azure Cloud, Infrastructure as Code, Containerization", "majorSkillsList" : [ "Azure Cloud", "Infrastructure as Code", "Containerization" ], "coreResponsibilities" : "Design Azure cloud infrastructure, Implement Azure cloud infrastructure, Design hybrid cloud environments, Implement hybrid cloud environments, Configure container platforms, Manage container platforms, Automate processes using Infrastructure as Code, Manage Azure cloud governance, Monitor Azure cloud governance, Optimize Azure cloud governance, Provide support for incidents, Provide support for changes, Support customer projects, Support customer implementations, Advise clients on Azure best practices, Advise clients on emerging technologies, Advise internal teams on Azure best practices, Advise internal teams on emerging technologies", "teamCollaboration" : "Internal teams; Customer projects", "domainKnowledge" : "Microsoft Azure; Hybrid cloud", "domainList" : [ "microsoft-azure", "hybrid-cloud" ], "domainSpecificKnowledge" : [ "Microsoft Azure", "Hybrid cloud" ], "toolProficiency" : [ "Terraform", "Bicep", "Ansible", "Azure DevOps", "GitHub" ], "communicationSkills" : "Client advisory; Internal advisory", "continuousLearning" : "Certifications; Training; Skill plan; Growth plan", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Troubleshooting", "specialRequirements" : "Level 2/3 support", "qualificationsBasic" : "Bachelor’s or Master’s degree in IT or equivalent experience, Minimum of 3 years of experience with Microsoft Azure, Experience with monitoring tools, Experience with cloud security principles, Excellent communication skills in Dutch, Excellent communication skills in English", "qualificationsPreferred" : "Azure certifications, Experience with container technologies, Experience with virtualization, French language skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Inetum is a European leader in digital services. Every day, the Group's 28,000 consultants and specialists aim to make a digital impact for businesses, public sector bodies and society as a whole: solutions that contribute to performance, innovation and the common good. Present in 19 countries, close to the regions, and with its major software publisher partners, Inetum meets the challenges of digital transformation with proximity and flexibility. Driven by its ambition to grow and industrialize, Inetum generated sales of €2.5 billion in 2023. In response to a market that has been growing steadily for over 30 years, Inetum has made the deliberate choice to refocus on 4 core businesses in order to gain strength and offer customized solutions tailored to the specific needs of its customers: consulting (Inetum Consulting), infrastructure and application management (Inetum Technologies), software implementation (Inetum Solutions) and its own software publishing business (Inetum Software). Inetum has forged strategic partnerships with 4 of the world's leading software publishers - Salesforce, ServiceNow, Microsoft and SAP - and is pursuing a dedicated acquisition strategy to become one of Europe's top 5 in these technologies, and offer the best expertise to its customers. At Inetum Belgium, we offer more than just a job; we provide an inspiring environment and opportunities for growth and development. We strive to create a workplace where you can harness your talents, contribute to challenging projects, and be part of a leading IT consultancy group. To support the exponential growth of our Azure practice, we are looking for several Azure Cloud Engineers. Here’s how you’ll make impact: * Design and implement Azure cloud infrastructure and hybrid cloud environments. * Configure and manage container platforms (Kubernetes, Docker) within Azure. * Automate processes using Infrastructure as Code (Terraform, Bicep, Ansible). * Cloud Governance: manage, monitor, and optimize cost, performance, security, compliance, and policies in Azure. * Provide support for incidents and changes at level 2/3. * Actively support projects and implementations for customers across Belgium. * Advise clients and internal teams on Azure best practices and emerging technologies. * Experience with Azure DevOps and/or GitHub is a strong asset. * Experience managing Azure PaaS services such as Logic Apps, Container Apps, Application Gateway, etc., is a strong asset. ## Qualifications Your Profile * Bachelor’s or Master’s degree in IT or equivalent experience. * Minimum of 3 years of experience with Microsoft Azure (certifications are a plus). * Experience with container technologies (Kubernetes, Docker) and virtualization is a plus. * Knowledge of scripting (PowerShell, Python) and Infrastructure as Code (Bicep, ARM, Terraform, etc.). * Experience with monitoring tools and cloud security principles. * Strong analytical and problem-solving skills. * Excellent communication skills in Dutch and English (French is a plus). * Medior or Senior level: able to work independently and take responsibility. What We Offer * A challenging role in a dynamic environment. * A permanent full-time position (payroll) with flexible work arrangements and an attractive salary package. * Opportunities for certifications and training, supported by a strong skill and growth plan tailored to the employee. * Be part of an innovative team that takes cloud solutions to the next level. ## Additional Information Discover Your Future with Inetum Belgium * Make a Difference with a Meaningful Career : step into a role where your work truly matters. At Inetum Belgium, you’ll have the chance to impact lives and drive meaningful change every day. * Grow and Evolve Professionally: embrace a culture of continuous learning and development. We offer a range of training opportunities designed to help you expand your skills and advance your career. * Unlock Relevant Career Opportunities : pursue the career path you’ve always dreamed of with tailored opportunities and the IT expertise you need to succeed. * Achieve Work-Life Balance: we value your well-being. Enjoy flexible working hours, the convenience of satellite offices, the comfort of home working, and an informal, no-nonsense environment. * Enjoy Generous Annual Leave : life is more than just work. Take advantage of 32 days of annual leave to relax and recharge. * Travel in Comfort: forget the hassle of commuting. We provide a company car and a national fuel/charging card to keep you on the move. Prefer a different option? You can choose a mobility allowance instead. * Comprehensive Insurance Coverage : your health and security are our priorities. Benefit from group insurance and hospitalization insurance that show we care. * Attractive Compensation Package : we offer a competitive gross salary to recognize and appreciate your hard work.", "summaryDescription" : "Azure Cloud Engineer at Inetum. Skills: Azure Cloud, Infrastructure as Code, Containerization. Design Azure cloud infrastructure. Implement Azure cloud infrastructure", "postedDate" : "2026-06-15T08:17:49.000", "createdAt" : "2026-06-15T23:52:31.026", "lastUpdated" : "2026-06-16T11:52:19.635", "ingestTimestamp" : "2026-06-15T23:52:31.026", "mongoId" : "6a3064adf292fd229cfa2641", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Cloud governance", "Infrastructure automation", "Azure Cloud", "Infrastructure as Code", "Containerization", "Problem-solving skills", "Analytical skills", "Microsoft Azure", "Hybrid cloud", "Azure certifications", "Terraform", "Bicep", "Ansible", "Azure DevOps", "GitHub" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 957.0032, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30556ef292fd229cf1f81f", "title" : "Middle Data Engineer (Azure Databricks)", "company" : "Miratech", "industry" : "Information Technology And Services", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Engineer in Madrid, Spain, with adjustments for the technology industry and full-time employment." }, "location" : "Madrid, MD, Spain", "locations" : [ "Madrid", "MD", "Spain" ], "timestamp" : "2026-06-16T07:24:45.101", "fingerprint" : "c72e0462a6c02f1c1f4b117ae3b7ca98b96bd0c41c21eef335ac47e0be4e1ec4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Miratech1/744000131840504-middle-data-engineer-azure-databricks-", "externalId" : "744000131840504", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Azure Databricks, Python, SQL, Scala, Spark, Delta Lake, Data Factory, ADLS, Synapse, Power BI, Tableau, Git, CI/CD", "professionalSkills" : [ "System design", "Data modeling", "ETL development" ], "hardSkillsList" : [ "Data warehousing", "Data pipeline development", "Data governance", "Performance tuning" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Azure, Databricks", "majorSkillsList" : [ "Data Engineering", "Azure", "Databricks" ], "coreResponsibilities" : "Design data pipelines, Develop ETL processes, Build data models, Optimize data solutions, Implement data governance, Monitor data systems, Troubleshoot data issues, Collaborate with stakeholders, Document data solutions, Ensure data quality, Automate data workflows", "teamCollaboration" : "Cross-functional teams; Data scientists; Analysts; Business stakeholders", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Data warehousing concepts; Big data technologies; Cloud data platforms", "domainList" : [ "data-warehousing-concepts", "big-data-technologies", "cloud-data-platforms" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Big data technologies", "Cloud data platforms" ], "toolProficiency" : [ "Azure Databricks", "Delta Lake", "Data Factory", "ADLS", "Synapse", "Power BI", "Tableau", "Git" ], "communicationSkills" : "Technical documentation; Stakeholder communication", "documentationSkills" : "Technical documentation; Data dictionaries", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: * Design, develop, and maintain data pipelines using Azure Databricks * Build and optimize data transformations using PySpark and SQL in Databricks * Implement and maintain Lakehouse architectures using Delta Lake * Develop ETL/ELT pipelines orchestrated through Azure Data Factory * Integrate data from multiple sources into the data platform and analytical layers * Design and maintain data models and data warehouse structures for analytics * Ensure data quality, scalability, and performance of large-scale data processing pipelines * Collaborate with BI teams to support Power BI and reporting platforms * Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required * Contribute to the design of modern cloud-based data architectures ## Qualifications * 3+ years of experience in Data Engineering or Data Warehouse development * Experience with Azure Databricks * Experience developing data pipelines using PySpark and Spark SQL * Solid understanding of distributed data processing and big data concepts * Experience working with Delta Lake and Lakehouse architectures * Strong SQL skills and experience with SQL Server relational databases * Experience building data pipelines using Azure Data Factory * Experience handling large datasets and performance optimization Nice to have * Experience with Spark optimization techniques (partitioning, caching, cluster tuning) * Experience with structured streaming in Databricks * Knowledge of CI/CD pipelines for data platforms (Azure Devops) * Familiarity with Power BI * Experience in migrating from traditional ETL process to cloud architectures Soft Skills * Strong analytical and problem-solving skills. * Ability to work in collaborative environments and to adapt * Committed to continuous learning and professional development, with a keen focus on advancing cloud computing expertise * Team player * Good communication skills with technical and non-technical roles * Is proactive rather than reactive, actively identifying improvements and proposing solutions * Is comfortable working in dynamic environments where priorities and technologies evolve ## Additional Information We offer: * Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. * Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. * Work From Anywhere Culture: make the most of the flexibility that comes with remote work. * Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. * Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. * Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. * Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.", "summaryDescription" : "Middle Data Engineer (Azure Databricks) at Miratech. Skills: Data Engineering, Azure, Databricks. Design data pipelines. Develop ETL processes", "postedDate" : "2026-06-12T08:28:47.000", "createdAt" : "2026-06-15T23:36:38.309", "lastUpdated" : "2026-06-16T07:24:45.101", "ingestTimestamp" : "2026-06-15T23:36:38.309", "mongoId" : "6a30556ef292fd229cf1f81f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "Data pipeline development", "Data governance", "Performance tuning", "Data Engineering", "Azure", "Databricks", "System design", "Data modeling", "ETL development", "Agile methodologies", "Data warehousing concepts", "Big data technologies", "Cloud data platforms", "Azure Databricks", "Delta Lake", "Data Factory", "ADLS", "Synapse", "Power BI", "Tableau", "Git" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 943.47217, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a164cef58b93c861ea06356", "title" : "Junior Data Engineer (Azure)", "company" : "Tibil Solutions Pvt. Ltd.", "location" : "Bangalore, IN", "locations" : [ "Bangalore", "IN" ], "timestamp" : "2026-06-15T10:50:07.528", "fingerprint" : "ebc5d59f3a8dfc35754b75beed361b03185fe60f183782a48daed2f7227b70b2", "source" : "breezyhr", "applyUrl" : "https://nexthire.breezy.hr/p/7fe825e42dfe-tibil-solution-pvt-ltd-junior-data-engineer-azure", "externalId" : "7fe825e42dfe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Junior", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position: Junior Data Engineer (Azure) Location: Bangalore (On-site) Experience: 2-4 years Employment Type: Full-time About Company Tibil Solutions Pvt. Ltd. is a data engineering, analytics, and AI solutions company that helps organizations use their data to improve business decisions and perform", "summaryDescription" : "Junior Data Engineer (Azure) at Tibil Solutions Pvt. Ltd.", "createdAt" : "2026-06-14T20:24:26.233", "lastUpdated" : "2026-06-15T10:50:07.528", "ingestTimestamp" : "2026-06-14T20:24:26.233", "mongoId" : "6a164cef58b93c861ea06356", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 928.4181, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ed74d8ee00a0986e18", "title" : "Data Engineer with Databricks", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer with Databricks in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "certifications" : [ "Databricks certification" ], "timestamp" : "2026-06-16T04:22:07.120", "fingerprint" : "cf05077c996b927edb4318cee3e1ff382566b7672fd27250236455dbae7c591b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6011045004", "externalId" : "6011045004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Python, Databricks, PySpark, AWS, Azure, GCP, Snowflake, Azure Key Vault, Azure Logic Apps, Azure Service Bus, Azure DevOps, Unity Catalog", "professionalSkills" : [ "System design", "Data modeling", "ETL design", "ELT design", "Orchestration", "Deployment automation", "Troubleshooting", "Continuous improvement" ], "hardSkillsList" : [ "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" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Batch processing", "level" : "intermediate" }, { "name" : "Real-time processing", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data orchestration", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Event-driven workflows", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data Engineering, Databricks, PySpark, Azure", "majorSkillsList" : [ "Data Engineering", "Databricks", "PySpark", "Azure" ], "coreResponsibilities" : "Build data pipelines, Maintain data pipelines, Optimize data pipelines, Integrate data sources, Maintain analytical database, Enhance analytical database, Support analytical database, Collaborate with stakeholders, Deliver data products, Identify technical debt, Improve platform reliability, Improve platform maintainability, Improve platform performance, Build Databricks Workflows, Manage Databricks Workflows, Develop PyFunc models, Deploy PyFunc models, Maintain PyFunc models, Implement secure secrets management, Implement configuration management, Automate data flows, Automate business processes, Design ETL pipelines, Develop ETL pipelines, Optimize ETL pipelines, Design ELT pipelines, Develop ELT pipelines, Optimize ELT pipelines, Govern data assets, Manage data assets, Implement messaging workflows, Implement event-driven workflows, Collaborate with architects, Collaborate with analysts, Collaborate with data scientists, Collaborate with engineering teams, Deliver end-to-end data solutions, Contribute to CI/CD processes, Contribute to deployment automation, Ensure high quality, Take ownership of technical areas, Support architectural decisions, Mentor team members", "teamCollaboration" : "Cross-functional teams; 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, "_score" : 920.8212, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fc49a74c40e2acd1a83412", "title" : "Senior Counsel, Privacy and Advisory", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Counsel, Privacy and Advisory in Irvine, United States, adjusted for seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "certifications" : [ "CIPP certification" ], "timestamp" : "2026-06-16T04:34:30.595", "fingerprint" : "1c545b2ff0c1e48bc47070ceedc0474c6fced0e1176e157958da978fec0bbf38", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114963", "externalId" : "114963", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "majorSkills" : "Privacy law, Data protection, Legal advisory", "majorSkillsList" : [ "Privacy law", "Data protection", "Legal advisory" ], "coreResponsibilities" : "Advise on privacy laws, Develop privacy policies, Conduct privacy risk assessments, Ensure compliance with regulations, Support data protection initiatives, Manage legal aspects of data processing, Advise on legal and regulatory requirements, Provide legal guidance on advisory matters", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Privacy laws; Data protection regulations; Consumer protection laws; Financial regulations", "domainList" : [ "privacy-laws", "data-protection-regulations", "consumer-protection-laws", "financial-regulations" ], "domainSpecificKnowledge" : [ "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations" ], "communicationSkills" : "Legal advice; Policy development", "documentationSkills" : "Privacy policies; Legal documentation", "problemSolvingSkills" : "Legal analysis; Risk assessment", "qualificationsBasic" : "Juris Doctor degree, Admission to a state bar, 5+ years of legal experience, Experience in privacy law, Experience with data protection regulations", "qualificationsPreferred" : "Experience in the automotive or financial services industry, CIPP certification", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Senior Counsel, Privacy and Advisory will provide strategic, practical, and actionable legal guidance across the Company’s business lines—including the core consumer finance business, vehicle voluntary protection products business, and emerging mobility business—and oversees legal compliance for marketing activities, including advertising practices, digital marketing, consumer and dealer communications, and compliance with applicable marketing laws and industry standards. This role advises on federal and state privacy, information security, and advertising/consumer protection laws and requirements applicable to the Company’s operations. The role also designs, implements, maintains, and continuously improves the Company’s enterprise privacy framework, including privacy-related policies, procedures, standards, and governance processes. In addition, the Senior Counsel leads and manages other attorneys and privacy and records management governance professionals. As a key advisor to senior stakeholders, this role provides counsel on privacy risk, regulatory developments, and privacy by design principles, and supports product, technology, and business initiatives through effective privacy governance. Employees in this role should expect to work on site Monday through Thursday and remotely on Fridays. . What You Will Do 1. Act as the Company’s primary privacy SME, providing legal and strategic guidance to business, technology, product, and operations teams to ensure compliance with applicable privacy, data protection, information security and consumer protection/advertising laws. Oversee legal review of all external communications to consumers, customers and dealers. 2. Own, implement, and maintain the Company’s enterprise privacy framework, including privacy policies, standards, procedures, governance models, and internal guidance. Lead updates to the privacy framework in response to regulatory developments, enforcement trends, and evolving business practices. Oversee privacy related documentation, recordkeeping, and reporting. 3. Act as primary liaison with Company’s affiliates in various data sharing, privacy, and marketing-related initiatives. Support new and existing third-party contract negotiations to identify and address privacy, data protection, information security and records management requirements. 4. Lead, mentor, and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals. What You Will Bring · Minimum 8 years of relevant legal experience in providing legal and strategic guidance on product and process development, with a focus on privacy, information security and advertising/consumer protection. · Minimum 3 years supervisory experience. · In-house legal experience preferred. · Consumer financial services or automobile finance experience. · Juris Doctor Degree; member in good standing of a state bar (CA preferred). · CIPP certification a plus. · Broad-based experience and knowledge in privacy and information security laws and experience in providing practical and actional guidance in product development and process changes. · Willingness to undertake substantial and diverse job responsibilities. · Ability to work independently and as part of legal and business teams. · Ability to effectively manage team members to ensure performance and alignment with Company objectives. · Ability to quickly pivot to changing business priorities. · Willingness to explore and identify creative alternative solutions to facilitate business initiatives. · Broad-based knowledge of privacy laws and regulations, both financial services-related and general consumer protection. · Broad-based knowledge of consumer financial services. · Attention to detail and follow through. · Ability to communicate in clear and concise manner; ability to communicate complex legal issues in laymen’s terms to all levels of the organization. · Ability to research in a thorough and effective manner and to analyze and distill complex legal requirements into a usable and practical framework. · Ability to multi-task under tight deadlines and manage competing priorities in a fast-paced environment. · Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). · Ability to successfully manage, train, develop and mentor direct reports. · Strong written and verbal communication skills. · Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Senior Counsel, Privacy and Advisory at Hyundai Capital America. Skills: Privacy law, Data protection, Legal advisory. Advise on privacy laws. Develop privacy policies", "createdAt" : "2026-06-14T20:42:39.784", "lastUpdated" : "2026-06-16T04:34:30.595", "ingestTimestamp" : "2026-06-14T20:42:39.784", "mongoId" : "69fc49a74c40e2acd1a83412", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Privacy law", "Data protection", "Legal advisory", "Legal analysis", "Risk management", "Compliance oversight", "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations", "CIPP certification" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 905.765, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3058f0f292fd229cf44771", "title" : "Senior Associate Data Engineer", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Senior Associate Data Engineer in Boston, adjusted for industry and full-time employment." }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-16T07:02:11.077", "fingerprint" : "7b2bbacd9ffd5170590648574dc461fc2690f5ce7041246feaf96691bea99114", "source" : "jazzhr", "language" : "en", "externalId" : "1pV6QHZC6X", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Associate Data Engineer", "createdAt" : "2026-06-15T22:16:46.308", "lastUpdated" : "2026-06-16T07:02:11.077", "ingestTimestamp" : "2026-06-15T22:16:46.308", "mongoId" : "6a3058f0f292fd229cf44771", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.44444445, "_score" : 899.0738, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a9d74d8ee00a090ce7c", "title" : "Senior Associate - Accounting Advisory", "company" : "Centri Business Consulting", "industry" : "Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Associate in Accounting Advisory in Tampa, adjusted for junior seniority and consulting industry." }, "location" : "Tampa, Florida, United States", "locations" : [ "Tampa", "Florida", "United States" ], "timestamp" : "2026-06-15T05:27:18.409", "fingerprint" : "ba0fefb805c6383db0b2355153e524855f4bcfe2b6321bbb8b7d1b6a43765dab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centribusinessconsulting/jobs/5765507004", "externalId" : "5765507004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Provide advisory consulting services, Meet client reporting demands, Specialize in financial reporting, Specialize in internal controls, Specialize in technical accounting research, Specialize in valuation, Specialize in mergers", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Centri Business Consulting provides the highest quality advisory consulting services to its clients by being reliable and responsive to their needs. Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #LI-Hybrid", "summaryDescription" : "Senior Associate - Accounting Advisory at Centri Business Consulting. Provide advisory consulting services. Meet client reporting demands", "postedDate" : "2026-06-14T05:15:21.400", "createdAt" : "2026-06-14T05:15:21.400", "lastUpdated" : "2026-06-15T05:27:18.409", "ingestTimestamp" : "2026-06-14T05:15:21.400", "mongoId" : "6a2c6a9d74d8ee00a090ce7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 881.27814, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd70874d8ee00a0a400dc", "title" : "Azure DevOps Engineer", "industry" : "Data", "salary" : { "min" : 180000.0, "max" : 275000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Azure DevOps Engineer in Poland, adjusted for the technology industry and onsite work mode." }, "location" : "Poland", "locations" : [ "Poland" ], "certifications" : [ "AZ-104", "AZ-305" ], "timestamp" : "2026-06-16T00:57:19.898", "fingerprint" : "9e55d78ec4bf317289aab3abf92950692c8da2e8e4071b653b28d135a3da3b43", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/techtorch/bccd174b-3f01-40ac-b61e-cf7e641e4d28/application", "externalId" : "bccd174b-3f01-40ac-b61e-cf7e641e4d28", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, Microsoft Entra ID, Azure AD, Terraform, Bicep, ARM templates, AWS, GCP", "professionalSkills" : [ "Governance", "Networking", "Cost controls", "Documentation", "Communication" ], "hardSkillsList" : [ "RBAC", "MFA", "Infrastructure as Code", "Networking patterns", "Deployment readiness" ], "hardSkills" : [ { "name" : "RBAC", "level" : "intermediate" }, { "name" : "MFA", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Networking patterns", "level" : "intermediate" }, { "name" : "Deployment readiness", "level" : "intermediate" } ], "majorSkills" : "Azure DevOps, Cloud Engineering, Infrastructure as Code", "majorSkillsList" : [ "Azure DevOps", "Cloud Engineering", "Infrastructure as Code" ], "coreResponsibilities" : "Lead the setup of Azure foundations, Design and implement identity and access models, Establish a secure and pragmatic Azure baseline, Define core networking and platform patterns, Implement infrastructure using Infrastructure as Code, Deliver a documented, production-sensible environment, Hand over the platform with clear operating guidance, Ensure the environment is ready for downstream workloads", "teamCollaboration" : "Delivery teams; Internal owners", "domainKnowledge" : "Enterprise environments; Cloud-native architecture; Networking; Identity management; Governance; Security best practices", "domainList" : [ "enterprise-environments", "cloud-native-architecture", "networking", "identity-management", "governance", "security-best-practices" ], "domainSpecificKnowledge" : [ "Enterprise environments", "Cloud-native architecture", "Networking", "Identity management", "Governance", "Security best practices" ], "toolProficiency" : [ "Terraform", "Bicep", "ARM templates", "Microsoft Entra ID", "Defender for Cloud", "Key Vault" ], "communicationSkills" : "Documentation; Communication", "documentationSkills" : "Documentation; Architecture decisions; Configuration standards; Operating guidance", "outcomesObjectives" : "Azure environment is secure, structured, and production-ready; Identity, governance, and networking are clearly defined and scalable; Delivery teams can start development without rework or platform gaps; Documentation and operating model support long-term ownership and scaling", "qualificationsBasic" : "5+ years of experience in Azure DevOps / Cloud Engineering, Proven experience setting up Azure environments from scratch, Expertise in Microsoft Entra ID (Azure AD), Identity/security best practices, Hands-on experience with Azure governance, Knowledge of Azure networking, Experience with Infrastructure as Code", "qualificationsPreferred" : "Experience in enterprise or regulated environments, Exposure to multi-cloud (AWS / GCP)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE ROLE We are looking for a hands-on Azure DevOps Engineer to design and implement a secure, production-ready Azure foundation for enterprise environments. This role is focused on building the platform correctly from day one — before any application development begins — ensuring identity, governance, networking, and operational patterns are in place and scalable. WHAT YOU’LL DO - Lead the setup of Azure foundations, including tenant review, subscription structure, management groups, and resource organization - Design and implement identity and access models in Microsoft Entra ID, including RBAC, admin groups, privileged access, MFA, break-glass accounts, and enterprise integrations - Establish a secure and pragmatic Azure baseline covering governance, policies, tagging, Key Vault, Defender for Cloud, logging, monitoring, and cost controls - Define core networking and platform patterns, including VNets, private access strategy, connectivity decisions, and deployment readiness - Implement infrastructure using Infrastructure as Code (Terraform, Bicep, or equivalent) to ensure repeatability and scalability - Deliver a documented, production-sensible environment with clear architecture decisions and configuration standards - Hand over the platform with clear operating guidance for internal owners and delivery teams - Ensure the environment is ready for downstream workloads without rework or architectural gaps WHO YOU ARE - 5+ years of experience in Azure DevOps / Cloud Engineering - Proven experience setting up Azure environments from scratch (greenfield) - Strong expertise in Microsoft Entra ID (Azure AD) and identity/security best practices - Hands-on experience with Azure governance (management groups, policies, tagging) - Strong knowledge of Azure networking (VNets, private endpoints, connectivity patterns) - Experience with Infrastructure as Code (Terraform, Bicep, ARM templates) - Strong documentation and communication skills - Comfortable operating in client-facing environments with high ownership NICE TO HAVE - Experience in enterprise or regulated environments - Exposure to multi-cloud (AWS / GCP) - Azure certifications (AZ-104, AZ-305) WHAT SUCCESS LOOKS LIKE - Azure environment is secure, structured, and production-ready before build starts - Identity, governance, and networking are clearly defined and scalable - Delivery teams can start development without rework or platform gaps - Documentation and operating model support long-term ownership and scaling Our Values Client First — We focus relentlessly on delivering outcomes that create value for our clients We, Not Me — We win together. Collaboration drives transformation at scale Get Stuff Done — We execute with speed and precision — because in PE, time matters AI First — We embed AI at the core, enabling scalable, high-leverage solutions Own It — We take accountability for results, delivering on what we promise Agile Mindset — We adapt quickly and proactively seek better ways to move forward What We Offer - Hands-on role supporting critical NetSuite environments - Exposure to private equity-backed enterprise operations - Opportunity to grow into senior admin or consultant roles over time - Global, collaborative team with strong delivery culture - Flexible, remote-first working environment", "summaryDescription" : "Azure DevOps Engineer. Skills: Azure DevOps, Cloud Engineering, Infrastructure as Code. Lead the setup of Azure foundations. Design and implement identity and access models", "createdAt" : "2026-06-14T18:50:40.488", "lastUpdated" : "2026-06-16T00:57:19.898", "ingestTimestamp" : "2026-06-14T18:50:40.488", "mongoId" : "6a2cd70874d8ee00a0a400dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "RBAC", "MFA", "Infrastructure as Code", "Networking patterns", "Deployment readiness", "Azure DevOps", "Cloud Engineering", "Governance", "Networking", "Cost controls", "Documentation", "Communication", "Enterprise environments", "Cloud-native architecture", "Identity management", "Security best practices", "AZ-104", "AZ-305", "Terraform", "Bicep", "ARM templates", "Microsoft Entra ID", "Defender for Cloud", "Key Vault" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 872.269, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6949b14570f0b99d588271a4", "title" : "Data Engineer", "company" : "Wichita Public Schools", "industry" : "Education", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Wichita, United States, adjusted for the Education industry." }, "location" : "Information Services & Technology (IST)", "locations" : [ "Information Services & Technology (IST)", "432 W. 3rd", "67203" ], "certifications" : [ "Microsoft Certified: Azure Data Engineer Associate", "Azure certifications", "SQL certifications" ], "timestamp" : "2026-06-15T22:13:52.577", "fingerprint" : "5d4bf4369df5d7f2288d73499a11af37865375feae7761c7269771a401db567c", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=74471", "externalId" : "74471", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wichita", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6922361,-97.3375448" } ], "locationText" : "Wichita, Kansas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Azure Data Factory, SQL Server, Power BI, SSIS, Python, PowerShell, Git, Azure Synapse", "professionalSkills" : [ "Data pipeline development", "Data architecture", "Data modeling", "Data governance", "DataOps", "Automation", "Stakeholder engagement" ], "hardSkillsList" : [ "ETL/ELT workflows", "Data validation", "Data cleansing", "Data transformation", "Relational modeling", "Dimensional modeling", "Star schema design", "Snowflake schema design", "Scripting", "Version control", "Automated testing", "CI/CD", "Deployment strategies" ], "softSkillsList" : [ "Tact", "Confidentiality" ], "hardSkills" : [ { "name" : "ETL/ELT workflows", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Relational modeling", "level" : "intermediate" }, { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "Star schema design", "level" : "intermediate" }, { "name" : "Snowflake schema design", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Deployment strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Tact" }, { "name" : "Confidentiality" } ], "majorSkills" : "Data Engineering, Data Architecture, Microsoft Azure, SQL Server", "majorSkillsList" : [ "Data Engineering", "Data Architecture", "Microsoft Azure", "SQL Server" ], "coreResponsibilities" : "Design data pipelines, Develop data pipelines, Maintain data pipelines, Ingest data, Transform data, Implement data validation, Implement data cleansing, Implement data transformation, Ensure data quality, Ensure data accuracy, Ensure data consistency, Monitor data pipelines, Troubleshoot data pipelines, Address bottlenecks, Address failures, Architect data structures, Optimize data structures, Design relational models, Design dimensional models, Design star schemas, Design snowflake schemas, Develop data models, Maintain data models, Implement data governance, Implement data security, Implement data lifecycle management, Enforce data standards, Enforce naming conventions, Document data processes, Implement DataOps practices, Manage data environments, Manage data releases, Introduce DevOps practices, Leverage scripts for deployment, Leverage templates for deployment, Use modern deployment strategies, Provide structured datasets, Align architectural decisions, Communicate technical concepts, Communicate project updates", "teamCollaboration" : "Cross-functional teams; District IT teams; Other departments; Data Analysts; Director of Assessment & Research", "projectManagementSkills" : [ "Version control", "CI/CD", "Deployment strategies" ], "domainKnowledge" : "FERPA; HIPAA; Data privacy; Data security", "domainList" : [ "ferpa", "hipaa", "data-privacy", "data-security" ], "domainSpecificKnowledge" : [ "FERPA", "HIPAA", "Data privacy", "Data security" ], "toolProficiency" : [ "Azure Data Factory", "SQL Server", "Power BI", "SSIS", "Azure Synapse", "Git" ], "communicationSkills" : "Written communication; Verbal communication; Convey complex ideas", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Diagnose issues; Resolve issues", "specialRequirements" : "Limited travel, Respond rapidly to issues outside work hours, Lifting under 30 pounds", "qualificationsBasic" : "3-5 years of experience in data engineering, Hands-on experience with Microsoft Azure data services, Hands-on experience with SQL Server, Hands-on experience with BI solutions, Bachelor's degree in Computer Science, Bachelor's degree in Data Engineering, Bachelor's degree in Information Systems", "qualificationsPreferred" : "Advanced degree preferred, Public education environment experience a plus, Microsoft Certified: Azure Data Engineer Associate, Similar Azure/SQL certifications preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Data Engineer Position Function: The Data Engineer & Architect plays a critical role in designing, building, and maintaining the district's data infrastructure. As the key technical expert bridging the gap between the district's data analysts and leadership, this position ensures that all data pipelines, transformations, and integrations are optimized for reliability, security, and compliance with FERPA/HIPAA. The Data Engineer & Architect will leverage Microsoft-based solutions (e.g., Azure Data Factory, SQL Server, Power BI ecosystem) to drive scalable, automated data workflows that support Wichita Public Schools' strategic vision and shared beliefs. Essential Performance Responsibilities: Data Pipeline Development & Management Design, develop, and maintain ETL/ELT workflows using Microsoft tools (e.g., Azure Data Factory, SSIS) to ingest and transform data from diverse sources (Oracle, on-premises systems, cloud services). Implement data validation, cleansing, and transformation processes to ensure high levels of data quality, accuracy, and consistency. Monitor and troubleshoot data pipelines, proactively addressing bottlenecks or failures to maintain seamless, reliable operations. Data Architecture & Modeling Architect and optimize data structures, including relational (star, snowflake) and dimensional models, within Microsoft SQL Server, Azure Synapse, or similar platforms. Develop and maintain logical and physical data models that align with district needs for analytics, compliance, and reporting. Collaborate with Data Analysts and the Director of Assessment & Research to ensure data structures effectively support key metrics, dashboards, and advanced analytics projects. Data Governance & Compliance Collaborate with the Information Services and Technology personnel to implement best practices for data governance, security, and lifecycle management. Ensure all data engineering processes adhere to FERPA, HIPAA, and district data privacy guidelines. Assist with defining and enforcing data standards, naming conventions, and documentation to enhance consistency and transparency. DataOps & Automation Implement DataOps practices (continuous integration, version control, automated testing) to streamline data development and reduce errors. Manage environments and releases for data pipelines, including dev, test, and production, coordinating with IT and other stakeholders. Introduce best practices around DevOps in Azure, leveraging scripts, templates, and modern deployment strategies. Collaboration & Stakeholder Engagement Work closely with Data Analysts, providing properly structured datasets and ensuring minimal friction in analytics and reporting. Partner with district IT teams and other departments to align architectural decisions with broader technology initiatives. Communicate technical concepts and project updates to non-technical audiences, ensuring clarity and alignment of expectations. Additional Duties: Performs other duties as assigned by the Chief Information Officer or other district leadership in support of Wichita Public Schools' strategic goals and mission. Equipment: This position may require the use of standard office technology such as computers, copiers, and scanners, as well as Microsoft Azure-based tools (e.g., Azure Data Factory, Azure SQL Database). Must always comply with Wichita Public Schools' guidelines for equipment use and data security. Travel: Limited travel between schools and central offices may be required to consult with school-based teams, attend training, or assist with on-site data needs. Physical and Mental Demands: Work in standard office environments Ability to focus on computer-based tasks for extended periods Occasional requirements for lifting or moving technology equipment (generally under 30 pounds) Must be prepared to respond rapidly to system or data-related issues outside of standard work hours Additional demands upon request of supervisor Knowledge, Skills, and Abilities: Technical Expertise: Advanced knowledge of Microsoft data engineering technologies (Azure Data Factory, Azure Synapse, SQL Server, Power BI, SSIS) Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation Understanding of DataOps, CI/CD, and version control (Git) Data Modeling: Strong background in relational and dimensional modeling, including the design of star/snowflake schemas Experience optimizing data storage and retrieval in cloud-based or hybrid environments Collaboration & Communication: Ability to work effectively with cross-functional teams, including Data Analysts, Data Governance leads, and IT staff Strong written and verbal communication skills to convey complex ideas in accessible language Analytical & Problem-Solving Skills: Capable of diagnosing and resolving issues quickly in a large-scale, diverse data environment Familiarity with advanced analytics techniques or interest in supporting statistical modeling is a plus Compliance & Security: Knowledge of FERPA/HIPAA and best practices for data privacy and security Able to integrate security and governance requirements into data pipeline design Interrelations: Works under the supervision of the Chief Information Officer in collaboration with the district's IT teams Regular contact with Data Analysts, school administrators, and other staff to gather requirements, provide data solutions, and ensure alignment with district objectives Must handle all situations with professionalism, tact, and confidentiality Employee Punctuality and Appearance: Expected to perform assigned duties and work all scheduled hours unless approved leave is granted Any deviation from assigned hours requires prior approval from the immediate supervisor or administrator Required to dress in a manner that reflects a positive image of Wichita Public Schools and is appropriate for a data engineering/architecture leadership role Qualification Profile: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field required; advanced degree preferred Minimum of 3-5 years of experience in data engineering, data architecture, or comparable roles, preferably in a large organization (public education environment a plus) Hands-on experience with Microsoft Azure data services, SQL Server, and BI solutions Microsoft Certified: Azure Data Engineer Associate, or similar Azure/SQL certifications preferred FLSA Status: Exempt", "summaryDescription" : "Data Engineer at Wichita Public Schools. Skills: Data Engineering, Data Architecture, Microsoft Azure, SQL Server. Design data pipelines. Develop data pipelines", "createdAt" : "2026-06-14T21:15:15.643", "lastUpdated" : "2026-06-15T22:13:52.577", "ingestTimestamp" : "2026-06-14T21:15:15.643", "mongoId" : "6949b14570f0b99d588271a4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "ETL/ELT workflows", "Data validation", "Data cleansing", "Data transformation", "Relational modeling", "Dimensional modeling", "Star schema design", "Snowflake schema design", "Scripting", "Version control", "Automated testing", "CI/CD", "Deployment strategies", "Tact", "Confidentiality", "Data Engineering", "Data Architecture", "Microsoft Azure", "SQL Server", "Data pipeline development", "Data architecture", "Data modeling", "Data governance", "DataOps", "Automation", "Stakeholder engagement", "FERPA", "HIPAA", "Data privacy", "Data security", "Microsoft Certified: Azure Data Engineer Associate", "Azure certifications", "SQL certifications", "Azure Data Factory", "Power BI", "SSIS", "Azure Synapse", "Git" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 862.82983, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c96e774d8ee00a0990c9f", "title" : "Senior Engineer", "company" : "AccountsIQ", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineer in Ireland, adjusted for the SaaS industry and company size." }, "location" : "Ireland", "locations" : [ "Ireland" ], "timestamp" : "2026-06-16T05:34:43.693", "fingerprint" : "fca4ff47d19b294196072c4d521c766099ae6494d167a1a213f99e5b45eb3a9d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/accountsiq/jobs/4843481101", "externalId" : "4843481101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ireland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, NET Core, Vue.js, Azure, DAPR, App Services, Service Bus, AKS, Functions", "professionalSkills" : [ "Full-stack development", "Distributed systems", "Microservices architecture", "Cloud-native operations", "Code quality", "Security", "Observability" ], "hardSkillsList" : [ "Software engineering", "Full-stack development", "Azure operations", "Distributed applications", "Frontend development", "Backend development", "Microservices", "Cloud services", "CI/CD pipelines", "DevOps practices" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Full-stack development", "level" : "intermediate" }, { "name" : "Azure operations", "level" : "intermediate" }, { "name" : "Distributed applications", "level" : "intermediate" }, { "name" : "Frontend development", "level" : "intermediate" }, { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Microservices", "level" : "intermediate" }, { "name" : "Cloud services", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" } ], "majorSkills" : "NET Core, Azure, DAPR, Full-stack development", "majorSkillsList" : [ "NET Core", "Azure", "DAPR", "Full-stack development" ], "coreResponsibilities" : "Design scalable applications, Build scalable applications, Maintain scalable applications, Architect microservices solutions, Implement microservices solutions, Manage cloud-native operations, Deploy distributed systems, Monitor distributed systems, Optimize distributed systems, Collaborate with Product teams, Collaborate with Engineering teams, Collaborate with DevOps teams, Deliver high-performing software, Ensure code quality, Ensure security, Ensure observability", "teamCollaboration" : "Product teams; Engineering teams; DevOps teams", "domainKnowledge" : "Distributed systems; Microservices; Cloud-native", "domainList" : [ "distributed-systems", "microservices", "cloud-native" ], "domainSpecificKnowledge" : [ "Distributed systems", "Microservices", "Cloud-native" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "7+ years software engineering, C#/.NET Core expertise, Full-stack development experience, Azure cloud services knowledge, DAPR hands-on experience, Distributed/microservice architecture experience, CI/CD pipelines knowledge, Cloud-native DevOps practices knowledge, Cross-functional team experience, BSc/MSc in Computer Science", "qualificationsPreferred" : "Vue.js experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The Company At AccountsIQ, part of the AIQ Group, we’re on a mission to deeply understand our customers and deliver technology that enriches their lives. Alongside ExpenseIn, a leading expense management platform within the group, we provide smart, feature-rich financial management software designed for ambitious businesses that have outgrown basic starter systems or seek a simpler, more affordable alternative to complex, costly ERP solutions. Our cloud-based accounting software transforms the finance function, making it easier for multi-entity businesses to capture, process, and report their financial data with ease and efficiency. The Role Reporting to the Director of Engineering, the successful candidate will play a key role in driving the design and building of AccountsIQ applications. We’re seeking a Senior .NET Engineer with strong full-stack development experience and a specialisation in Azure operations. The ideal candidate will bring deep expertise in building distributed applications using DAPR, as well as hands-on skills across both frontend and backend development. What you’ll be doing Designing, building, and maintaining scalable full-stack applications using .NET and modern frontend frameworks (e. g. Vue.js). Architecting and implementing microservices-based solutions, leveraging Azure cloud services and DAPR. Managing cloud-native operations, including deployment, monitoring, and optimisation of distributed systems. Collaborate with Product, Engineering, and DevOps teams to deliver robust, high-performing software. Ensure best practices in code quality, security, and observability. What you’ll need 7+ years of professional experience in software engineering, with strong expertise in C#/.NET Core. Proven track record in full-stack development (frontend and backend). Deep knowledge of Azure cloud services (App Services, Service Bus, AKS, Functions, etc.). Hands-on experience with DAPR and building distributed/microservice architectures. Solid understanding of CI/CD pipelines and cloud-native DevOps practices. Experience working cross-functionally with Product, Engineering, and Customer Success teams. A self-starter mindset with good time management and analytical skills. BSc/MSc in Computer Science or equivalent field. What's the hiring process? An initial call with our People team to discuss your application. A one-way video interview, structured and reviewed manually by the hiring manager. A technical interview with the hiring team, consisting of a live coding exercise. A final interview with our CTO. Why work with us? AIQ Group is a multi-product SaaS business, bringing together ExpenseIn and AccountsIQ, and recently ranked #477 in the Financial Times FT1000 list of Europe’s fastest-growing companies in 2026. As a forward-thinking and collaborative organisation, we combine drive, energy and ambition with a supportive, down-to-earth culture that enables people to do their best work. Our TEAM values (Together, Energy, Action, and Mindset) sit at the core of how we work and grow as a business. Following a €60M investment in 2024, it’s an exciting time to join the group as we continue to scale, enhance our products, and elevate the service we provide to our customers. Some of our perks 28 days annual leave + bank holidays + your birthday off Hybrid working from London or Dublin offices Working from abroad - up to 6 weeks per calendar year Private Health Insurance 5% Pension contribution Life Assurance - 4 x Salary Income Benefit Wellbeing initiatives  By submitting your application, you agree that AccountsIQ Group may collect your personal data for recruiting, global organisation planning, and related purposes. AccountsIQ Group’s Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over AccountsIQ Group’s use of your personal information.", "summaryDescription" : "Senior Engineer at AccountsIQ. Skills: NET Core, Azure, DAPR, Full-stack development. Design scalable applications. Build scalable applications", "postedDate" : "2026-06-14T20:07:21.752", "createdAt" : "2026-06-14T20:07:21.752", "lastUpdated" : "2026-06-16T05:34:43.693", "ingestTimestamp" : "2026-06-14T20:07:21.752", "mongoId" : "6a2c96e774d8ee00a0990c9f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software engineering", "Full-stack development", "Azure operations", "Distributed applications", "Frontend development", "Backend development", "Microservices", "Cloud services", "CI/CD pipelines", "DevOps practices", "NET Core", "Azure", "DAPR", "Distributed systems", "Microservices architecture", "Cloud-native operations", "Code quality", "Security", "Observability", "Cloud-native" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 850.96497, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30605df292fd229cf8b74a", "title" : "Senior Data Engineer", "company" : "Interactive Brokers", "industry" : "FinTech", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "timestamp" : "2026-06-16T08:04:40.522", "fingerprint" : "cacc9da51df11e7aaf7aef94521256cbbba8767d267cdf69d23a978fbf1595ce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ibkr/jobs/8568691002", "externalId" : "8568691002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, Pandas, Polars, Oracle, SQL, Linux", "professionalSkills" : [ "Data pipeline development", "Data modeling", "Attribution modeling", "Performance evaluation", "Data governance" ], "hardSkillsList" : [ "Data pipeline development", "Data modeling", "Attribution modeling", "Performance evaluation", "Data governance" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "majorSkills" : "Data pipelines, Data modeling, Attribution modeling", "majorSkillsList" : [ "Data pipelines", "Data modeling", "Attribution modeling" ], "coreResponsibilities" : "Own and maintain datasets, Design and automate data pipelines, Build scalable analytical infrastructure, Develop standardized frameworks, Partner with analytics and product teams, Optimize Oracle databases and data models, Drive continuous improvement in attribution methodologies, Drive continuous improvement in data governance", "teamCollaboration" : "Analytics teams; Product teams", "domainKnowledge" : "Customer lifecycle analysis; Behavioral data processing; Attribution modeling", "domainList" : [ "customer-lifecycle-analysis", "behavioral-data-processing", "attribution-modeling" ], "domainSpecificKnowledge" : [ "Customer lifecycle analysis", "Behavioral data processing", "Attribution modeling" ], "toolProficiency" : [ "Tableau", "Oracle", "Linux" ], "continuousLearning" : "Education reimbursement; Learning opportunities", "qualificationsBasic" : "5+ years in data pipeline development, Python and Java required, Oracle/SQL optimization expertise, 2-3 years of Linux systems experience, Bachelor's or Master's in Computer Science or related field", "qualificationsPreferred" : "Tableau experience, Advanced Python proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (3 days in office / 2 day remote) About Interactive Brokers: Interactive Brokers (IBKR) is one of the world's largest and most technologically advanced electronic brokerage firms, serving individual investors, hedge funds, proprietary trading groups, financial advisors, and introducing brokers globally. With a strong foundation built on innovation and automation, IBKR provides clients with access to over 150 markets across 200+ countries and territories. We are a data-driven organization that leverages cutting-edge technology to deliver best-in-class trading solutions, and our teams thrive in a fast-paced, intellectually rigorous environment where data and analytics are at the core of every decision. What will be your responsibilities within IBKR: Own and maintain datasets supporting attribution, campaign performance, and customer lifecycle analysis Design and automate data pipelines for real-time and batch processing of behavioral data Build scalable analytical infrastructure for reporting and visualization Develop standardized frameworks for attribution modeling and performance evaluation Partner with analytics, and product teams to translate business needs into data solutions Optimize Oracle databases and data models for high-performance querying Drive continuous improvement in attribution methodologies and data governance practices What required skill’s you need: 5+ years in data pipeline development (Python and Java required) Advanced Python proficiency (Pandas, Polars) Strong Oracle/SQL optimization expertise Experience with Tableau 2–3 years of Linux systems experience Bachelor's or Master's in Computer Science or related field This role's anticipated base salary range is 200,000 to 250,000 annually based on skill's and experience. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and stock award as well as a wide range of benefits, including health care, tuition reimbursement and much more Company Benefits & Perks Competitive salary, annual performance-based bonus and stock grant Retirement plan 401(k) with competitive company match Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium. Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP) Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snacks Corporate events including team outings, dinners, volunteer activities and company sports teams Education reimbursement and learning opportunities", "summaryDescription" : "Senior Data Engineer at Interactive Brokers. Skills: Data pipelines, Data modeling, Attribution modeling. Own and maintain datasets. Design and automate data pipelines", "postedDate" : "2026-06-15T23:24:30.319", "createdAt" : "2026-06-15T23:24:30.319", "lastUpdated" : "2026-06-16T08:04:40.522", "ingestTimestamp" : "2026-06-15T23:24:30.319", "mongoId" : "6a30605df292fd229cf8b74a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data modeling", "Attribution modeling", "Performance evaluation", "Data governance", "Data pipelines", "Customer lifecycle analysis", "Behavioral data processing", "Tableau", "Oracle", "Linux" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 850.9176, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3060aff292fd229cf92a1e", "title" : "Azure Platform Engineer", "company" : "Nebius", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T09:25:05.524", "fingerprint" : "45003ddb8cf395bbe661de5a0b7cd7fa70c1b1c5169e1a6bf009e59c20bd22a8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nebius.com/?gh_jid=4885460101", "externalId" : "4885460101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R& D. Nebius is building a high-performance AI cloud platform, and we are looking for an Azure Platform Engineer to design, deploy, and operate secure, scalable, and production-grade Azure environments. You will be responsible for building and maintaining cloud infrastructure, implementing CI/CD pipelines, and ensuring platform reliability, governance, and cost efficiency. Requirements 6+ years of hands-on experience with Microsoft Azure in production environments. Strong experience with Infrastructure as Code: Terraform (preferred) / Bicep / ARM Experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, or similar). Solid understanding of: Azure Networking (VNet, Peering, NSG, Private Endpoints, Load Balancers, Application Gateway) Compute services (VMs, VMSS, AKS) Storage and PaaS services Experience with Azure RBAC, Managed Identities, and Microsoft Entra ID. Knowledge of monitoring and logging: Azure Monitor, Log Analytics, Application Insights Experience implementing high availability and disaster recovery strategies. Scripting skills (PowerShell, Bash, or Python). Good understanding of cloud governance, policies, and cost management. Intermediate or higher English. Responsibilities Design and manage Azure subscriptions and landing zones. Deploy and manage infrastructure using Infrastructure as Code. Build and maintain CI/CD pipelines for infrastructure and application deployments. Implement secure networking and access control models. Ensure platform reliability, scalability, and performance. Monitor infrastructure health and optimize costs. Enforce Azure Policies and governance standards. Collaborate with engineering teams to support cloud-native workloads. Maintain documentation and architectural standards. Nice to Have Experience with AKS in production. Knowledge of Kubernetes and container networking. Azure certifications (AZ-104, AZ-305, or equivalent) Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $112,700—$169,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.", "summaryDescription" : "Azure Platform Engineer at Nebius", "postedDate" : "2026-06-15T23:25:59.395", "createdAt" : "2026-06-15T23:25:59.395", "lastUpdated" : "2026-06-16T09:25:05.524", "ingestTimestamp" : "2026-06-15T23:25:59.395", "mongoId" : "6a3060aff292fd229cf92a1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 842.5034, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca0f474d8ee00a09a3de9", "title" : "Senior Yocto Developer GCC", "company" : "Litmus", "industry" : "Engineering", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Yocto Developer in Pune, India, adjusted for the technology industry and senior experience level." }, "location" : "Pune, India", "locations" : [ "Pune, India" ], "timestamp" : "2026-06-15T07:12:51.579", "fingerprint" : "33cb2fe2c0500e97247b8ffb27e7de041f911c683e481741baf21e1525c58ea9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/litmus/fd606cef-8fd5-4d45-be49-8338d73cd036/application", "externalId" : "fd606cef-8fd5-4d45-be49-8338d73cd036", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Linux, Embedded Linux, Yocto Project, C, C++, Python, Bash, Docker, Kubernetes, Git, CI/CD", "professionalSkills" : [ "System optimization", "Software delivery", "Hardware integration", "System integrity", "System resilience", "Software deployment", "Software upgrades", "System performance", "System reliability", "System scalability", "Engineering productivity" ], "hardSkillsList" : [ "Kernel configuration", "Build system customization", "Package management", "Image creation", "System integration", "BSP configuration", "Containerization" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Kernel configuration", "level" : "intermediate" }, { "name" : "Build system customization", "level" : "intermediate" }, { "name" : "Package management", "level" : "intermediate" }, { "name" : "Image creation", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "BSP configuration", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Yocto Project, Embedded Linux, Edge Computing, Industrial IoT", "majorSkillsList" : [ "Yocto Project", "Embedded Linux", "Edge Computing", "Industrial IoT" ], "coreResponsibilities" : "Design embedded Linux distributions, Develop embedded Linux distributions, Maintain embedded Linux distributions, Create Yocto packages, Extend Yocto packages, Manage Yocto packages, Develop secure validation processes, Support secure validation processes, Build OTA update mechanisms, Maintain OTA update mechanisms, Configure software on ARM, Integrate software on ARM, Deploy software on ARM, Troubleshoot integration challenges, Resolve integration challenges, Analyze system performance, Debug system performance, Optimize system performance, Contribute to best practices, Improve engineering productivity, Leverage AI tools", "teamCollaboration" : "Hardware teams; Platform teams; Application teams", "projectManagementSkills" : [ "CI/CD workflows" ], "domainKnowledge" : "Industrial AI; Edge computing; Industrial operations; Industrial IoT; Industry 4.0; Real-time data; Distributed systems; Containerization technologies", "domainList" : [ "industrial-ai", "edge-computing", "industrial-operations", "industrial-iot", "industry-4-0", "real-time-data", "distributed-systems", "containerization-technologies" ], "domainSpecificKnowledge" : [ "Industrial AI", "Edge computing", "Industrial operations", "Industrial IoT", "Industry 4.0", "Real-time data", "Distributed systems", "Containerization technologies" ], "toolProficiency" : [ "Yocto Project", "Docker", "Kubernetes", "Git", "CI/CD tools" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Stay current with advancements", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "5+ years Linux software engineering, Deep Yocto Project expertise, Embedded Linux development, ARM-based platforms experience, Docker and Kubernetes experience, OTA update frameworks experience, C/C++ programming skills, Python programming skills, Bash programming skills, Proficiency with Git, CI/CD tools proficiency, Generative AI awareness", "qualificationsPreferred" : "Experience building RHEL packages, Knowledge of secure boot, Platform validation knowledge, Security-focused development practices, Industrial IoT experience, Industry 4.0 experience, Edge computing experience, RTOS familiarity, Networking protocols knowledge, Cybersecurity knowledge, Device security knowledge, Open-source contributions, AI-driven solutions implementation", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO IS LITMUS Litmus is building the data foundation that powers industrial AI. AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We solve that gap. We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest companies to run operations in real time, reduce downtime, and optimize production. Backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi, Litmus is powering the shift toward software-defined manufacturing. WHY JOIN LITMUS BUILD THE INFRASTRUCTURE THAT MAKES INDUSTRIAL AI POSSIBLE AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments. WORK ON PROBLEMS WHERE SOFTWARE MEETS THE REAL WORLD Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints — where reliability, scale, and performance are non-negotiable. HAVE REAL IMPACT, FAST You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale. JOIN A HIGH-PERFORMANCE TEAM We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers. OUR CULTURE At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other. We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here. ABOUT THE ROLE We are looking for a highly skilled and passionate Senior Yocto & Linux Software Engineer to join our engineering team in Pune, India. In this role, you will be responsible for developing, maintaining, and securing Litmus Edge, our flagship industrial edge computing platform built using the Yocto Project. You will play a key role in embedded Linux development, system optimization, secure software delivery, OTA updates, and hardware-software integration, helping drive the next generation of Industrial IoT and Industry 4.0 solutions. WHAT YOU’LL DO - Design, develop, and maintain embedded Linux distributions using the Yocto Project for the Litmus Edge platform. - Create, extend, and manage Yocto packages while ensuring platform stability and maintainability. - Develop and support secure validation processes to enhance system integrity and resilience. - Build and maintain Over-the-Air (OTA) update mechanisms for reliable software deployment and upgrades. - Configure, integrate, and deploy software on ARM-based hardware platforms using BSPs. - Leverage Docker and Kubernetes (Kubernetes/K8s) to deploy and manage containerized edge applications. - Collaborate with hardware, platform, and application teams to troubleshoot and resolve complex integration challenges. - Analyze, debug, and optimize system performance, reliability, and scalability. - Contribute to software development best practices, automation, and continuous improvement initiatives. - Stay current with advancements in embedded Linux, Yocto, containerization technologies, and edge computing. - Utilize AI-powered tools and technologies to improve engineering productivity and accelerate delivery outcomes. WHAT YOU’LL BRING MUST HAVE - 5+ years of experience in Linux software engineering with a strong focus on embedded systems. - Deep hands-on expertise with the Yocto Project, including custom image creation, package management, and build system customization. - Strong experience with embedded Linux development, kernel configuration, debugging, and system integration. - Experience working with ARM-based platforms and Board Support Packages (BSPs). - Hands-on knowledge of Docker and Kubernetes in production or edge computing environments. - Experience designing or maintaining OTA update frameworks and deployment systems. - Strong programming skills in C/C++ and scripting languages such as Python and Bash. - Proficiency with Git and CI/CD tools and workflows. - Awareness of Generative AI and AI Agents, with the ability to leverage AI tools to improve engineering efficiency and deliverables. - Excellent analytical, problem-solving, communication, and collaboration skills. NICE TO HAVE - Experience building and maintaining RHEL packages (RPM). - Knowledge of secure boot, platform validation, and security-focused software development practices. - Experience working in Industrial IoT, Industry 4.0, or edge computing environments. - Familiarity with Real-Time Operating Systems (RTOS). - Understanding of networking protocols, cybersecurity, and device security. - Contributions to open-source projects or active participation in the open-source community. - Practical experience implementing AI-driven solutions or automation within engineering projects.", "summaryDescription" : "Senior Yocto Developer GCC at Litmus. Skills: Yocto Project, Embedded Linux, Edge Computing, Industrial IoT. Design embedded Linux distributions. Develop embedded Linux distributions", "createdAt" : "2026-06-13T22:19:43.376", "lastUpdated" : "2026-06-15T07:12:51.579", "ingestTimestamp" : "2026-06-13T22:19:43.376", "mongoId" : "6a2ca0f474d8ee00a09a3de9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Kernel configuration", "Build system customization", "Package management", "Image creation", "System integration", "BSP configuration", "Containerization", "Problem-solving", "Yocto Project", "Embedded Linux", "Edge Computing", "Industrial IoT", "System optimization", "Software delivery", "Hardware integration", "System integrity", "System resilience", "Software deployment", "Software upgrades", "System performance", "System reliability", "System scalability", "Engineering productivity", "CI/CD workflows", "Industrial AI", "Edge computing", "Industrial operations", "Industry 4.0", "Real-time data", "Distributed systems", "Containerization technologies", "Docker", "Kubernetes", "Git", "CI/CD tools" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 842.3876, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3064adf292fd229cfa262e", "title" : "Analista / Integrador de Datos - Azure", "company" : "Inetum", "industry" : "Insurance", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "PEN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst/Integrator in Lima, Peru, adjusted for the Technology industry and full-time employment." }, "location" : "Lima, Callao Region, PE", "locations" : [ "Lima", "Callao Region", "PE" ], "timestamp" : "2026-06-16T09:12:59.603", "fingerprint" : "ca8e59376d0f7ac4245a479fcf8b8036b5b8c899cd2a7ec5b5ce23f3f3a08b59", "source" : "smartrecruiters", "language" : "es", "applyUrl" : "https://jobs.smartrecruiters.com/Inetum2/744000132237269-analista-integrador-de-datos-azure", "externalId" : "744000132237269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lima", "state" : "Callao Region", "country" : "Peru", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-12.0627972,-77.1372179" } ], "locationText" : "Lima, Callao Region, Peru", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Oracle, SISS, Azure Data Factory", "professionalSkills" : [ "Data mining", "Data mart" ], "hardSkillsList" : [ "SQL optimization", "Query optimization", "Package optimization" ], "hardSkills" : [ { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Query optimization", "level" : "intermediate" }, { "name" : "Package optimization", "level" : "intermediate" } ], "majorSkills" : "Data Integration, Azure Data Factory", "majorSkillsList" : [ "Data Integration", "Azure Data Factory" ], "coreResponsibilities" : "Optimize SQL queries, Optimize packages and queries, Integrate data using Azure Data Factory", "teamCollaboration" : "Agile projects; SCRUM", "projectManagementSkills" : [ "SCRUM" ], "domainKnowledge" : "Data Mart; Data Mining", "domainList" : [ "data-mart", "data-mining" ], "domainSpecificKnowledge" : [ "Data Mart", "Data Mining" ], "toolProficiency" : [ "Azure Data Factory", "Oracle", "Power BI" ], "continuousLearning" : "E-learning platforms", "innovationCreativity" : "Innovative projects", "qualificationsBasic" : "3+ years database experience, SQL proficiency, Oracle database proficiency, ETL experience", "qualificationsPreferred" : "BI experience, Power BI experience, Agile projects experience, Workload knowledge, Stambia knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Somos Inetum , una compañía de servicios ágiles que proporciona soluciones digitales y un grupo global de tecnólogos que acompaña a sus clientes en el proceso de digitalización aprovechando al máximo el digital impact. Ofrecemos a nuestros clientes una combinación única de proximidad, organización sectorial y soluciones de calidad. Presente en más de 26 países, el Grupo tiene cerca de 27.000 colaboradores y apunta a continuar creciendo. ¡En Inetum acompañamos a nuestros clientes y colaboradores en su camino al éxito! Si te gusta reinventarte y resolver problemas con nuevas estrategias, trabajar en proyectos de IT y de negocios: ¡Postula ahora! Actualmente nos encontramos en búsqueda de (01) Analista / Integrador de Datos - Azure que se integren a nuestro equipo en un importante proyecto. ## Qualifications ¿Cuál es el perfil ideal que estamos buscando? * Experiencia en base de datos mínima de 3 años. * Sólido dominio de lenguaje de programación SQL y bases de datos Oracle. * Optimización de consultas SQL * Experiencia en SISS - integration services SQL * Optimización de paquetería y querys * Data Marth y Data Minning * Deseable experiencia con BI (Power BI). * Experiencia con ETL. * Experiencia en proyectos con marcos ágiles (SCRUM). * Herramientas Azure Data Factory - de 2 a 4 años de experiencia * Conocimientos deseables en Workload * Conocimientos deseables en stambia ## Additional Information ¿Qué vamos a ofrecerte como parte del equipo? * Remuneración en planilla con todas las condiciones de ley. * Beneficios corporativos a través de nuestra plataforma de descuentos. * Capacitaciones constantes acorde a tu línea de carrera y otras de interés general (plataformas de e-learning). * La oportunidad de participar en retos altamente innovadores. * Línea de carrera. Conoce más de nosotros en www.inetum.com/es o visita nuestras redes sociales como Inetum Perú para conocer más de nuestra cultura corporativa y metodologías de trabajo. ¡Te esperamos! En Inetum promovemos la diversidad de género, origen étnico, nacionalidad, la inclusión de personas con discapacidad y/o habilidades diferentes mediante la igualdad de oportunidades en todos los procesos, y buscamos ampliar las oportunidades de desarrollo profesional.", "summaryDescription" : "Analista / Integrador de Datos - Azure at Inetum. Skills: Data Integration, Azure Data Factory. Optimize SQL queries. Optimize packages and queries", "postedDate" : "2026-06-15T15:41:41.000", "createdAt" : "2026-06-15T23:55:02.439", "lastUpdated" : "2026-06-16T09:12:59.603", "ingestTimestamp" : "2026-06-15T23:55:02.439", "mongoId" : "6a3064adf292fd229cfa262e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "SQL optimization", "Query optimization", "Package optimization", "Data Integration", "Azure Data Factory", "Data mining", "Data mart", "SCRUM", "Data Mart", "Data Mining", "Oracle", "Power BI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 838.28644, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306853f292fd229cfc3569", "title" : "Analista / Integrador de Datos - Azure", "company" : "Inetum", "industry" : "Insurance", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "PEN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst/Integrator in Lima, Peru, with adjustments for the technology industry and full-time onsite employment." }, "location" : "Lima, Callao Region, PE", "locations" : [ "Lima", "Callao Region", "PE" ], "timestamp" : "2026-06-16T08:42:19.089", "fingerprint" : "c1f99fce134610fe2045ff31f03649a90c92f6d131abc0907f5a448865f1271f", "source" : "smartrecruiters", "language" : "es", "applyUrl" : "https://jobs.smartrecruiters.com/Inetum2/744000132237999-analista-integrador-de-datos-azure", "externalId" : "744000132237999", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lima", "state" : "Callao Region", "country" : "Peru", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-12.0627972,-77.1372179" } ], "locationText" : "Lima, Callao Region, Peru", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Oracle, SISS, Azure Data Factory", "hardSkillsList" : [ "Data Marth", "Data Minning" ], "hardSkills" : [ { "name" : "Data Marth", "level" : "intermediate" }, { "name" : "Data Minning", "level" : "intermediate" } ], "majorSkills" : "Integrador de Datos, Azure", "majorSkillsList" : [ "Integrador de Datos", "Azure" ], "coreResponsibilities" : "Integrar datos en Azure", "teamCollaboration" : "Proyectos de IT y de negocios", "projectManagementSkills" : [ "SCRUM" ], "toolProficiency" : [ "Power BI" ], "continuousLearning" : "Capacitaciones constantes", "innovationCreativity" : "Reinventarte; Resolver problemas con nuevas estrategias; Retos altamente innovadores", "qualificationsBasic" : "Experiencia en base de datos mínima de 3 años, Sólido dominio de lenguaje de programación SQL, Experiencia con ETL, Experiencia en proyectos con marcos ágiles (SCRUM), Herramientas Azure Data Factory - de 2 a 4 años de experiencia", "qualificationsPreferred" : "Deseable experiencia con BI (Power BI), Conocimientos deseables en Workload, Conocimientos deseables en stambia", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Somos Inetum , una compañía de servicios ágiles que proporciona soluciones digitales y un grupo global de tecnólogos que acompaña a sus clientes en el proceso de digitalización aprovechando al máximo el digital impact. Ofrecemos a nuestros clientes una combinación única de proximidad, organización sectorial y soluciones de calidad. Presente en más de 26 países, el Grupo tiene cerca de 27.000 colaboradores y apunta a continuar creciendo. ¡En Inetum acompañamos a nuestros clientes y colaboradores en su camino al éxito! Si te gusta reinventarte y resolver problemas con nuevas estrategias, trabajar en proyectos de IT y de negocios: ¡Postula ahora! Actualmente nos encontramos en búsqueda de (01) Analista / Integrador de Datos - Azure que se integren a nuestro equipo en un importante proyecto. ## Qualifications ¿Cuál es el perfil ideal que estamos buscando? * Experiencia en base de datos mínima de 3 años. * Sólido dominio de lenguaje de programación SQL y bases de datos Oracle. * Optimización de consultas SQL * Experiencia en SISS - integration services SQL * Optimización de paquetería y querys * Data Marth y Data Minning * Deseable experiencia con BI (Power BI). * Experiencia con ETL. * Experiencia en proyectos con marcos ágiles (SCRUM). * Herramientas Azure Data Factory - de 2 a 4 años de experiencia * Conocimientos deseables en Workload * Conocimientos deseables en stambia ## Additional Information ¿Qué vamos a ofrecerte como parte del equipo? * Remuneración en planilla con todas las condiciones de ley. * Beneficios corporativos a través de nuestra plataforma de descuentos. * Capacitaciones constantes acorde a tu línea de carrera y otras de interés general (plataformas de e-learning). * La oportunidad de participar en retos altamente innovadores. * Línea de carrera. Conoce más de nosotros en www.inetum.com/es o visita nuestras redes sociales como Inetum Perú para conocer más de nuestra cultura corporativa y metodologías de trabajo. ¡Te esperamos! En Inetum promovemos la diversidad de género, origen étnico, nacionalidad, la inclusión de personas con discapacidad y/o habilidades diferentes mediante la igualdad de oportunidades en todos los procesos, y buscamos ampliar las oportunidades de desarrollo profesional.", "summaryDescription" : "Analista / Integrador de Datos - Azure at Inetum. Skills: Integrador de Datos, Azure. Integrar datos en Azure", "postedDate" : "2026-06-15T15:45:06.000", "createdAt" : "2026-06-15T23:51:29.826", "lastUpdated" : "2026-06-16T08:42:19.089", "ingestTimestamp" : "2026-06-15T23:51:29.826", "mongoId" : "6a306853f292fd229cfc3569", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data Marth", "Data Minning", "Integrador de Datos", "Azure", "SCRUM", "Power BI" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 835.9384, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 203097, "totalPages" : 4062, "hasNext" : true, "hasPrevious" : false } }

In Senior Associate Azure Data Engineer Gcc Advisory Bangalore Jobs in Mumbai

Senior Azure Data Engineer

Senior Data Engineer

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior DevOps Engineer (Azure)

Senior Data Engineer (Azure)

Senior Data Engineer

Senior Data Engineer (Azure/AWS)

Senior Data Engineer

Senior Data Engineer

Senior DevOps Engineer – (GenAI Platform / Azure / Terraform)

Data Engineer - Azure & Microsoft Fabric

Senior Data Engineer

Azure Data Enginer

Senior Associate, Transaction Advisory Services

Senior Java Software Engineer (Spring/Azure)

Senior Azure DevOps Engineer

Senior Java Software Engineer (Spring/Azure)

Senior Azure Cloud Infrastructure Engineer

Senior Azure DevOps Engineer

Senior Associate, Big Data Engineer, Data Analytics, Advisory

Java Software Engineer (Spring/Azure/AWS)

Java Software Engineer (Spring/Azure/AWS)

Senior Platform Engineer

Data Lead (Advisory)

Azure Platform Engineer

Senior Data Engineer

Azure Cloud Engineer

Azure Cloud Engineer

Middle Data Engineer (Azure Databricks)

Junior Data Engineer (Azure)

Data Engineer with Databricks

Senior Counsel, Privacy and Advisory

Senior Associate Data Engineer

Senior Associate - Accounting Advisory

Azure DevOps Engineer

Data Engineer

Senior Engineer

Senior Data Engineer

Azure Platform Engineer

Senior Yocto Developer GCC

Analista / Integrador de Datos - Azure

Analista / Integrador de Datos - Azure

Common Questions