{"id":2763686,"url":"https://alion.io/job/capgemini-data-engineerazure","title":"Data Engineer(Azure)","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1756,"ghost_share":0,"stale_share":0.78,"repost_share":0.003,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poznań, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":80000,"period":"year","method":"role_country_seniority_unknown","sample_n":361},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Bicep","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-07T12:35:28Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T03:07:43Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYour Team\nInsights & Data is a dynamic team of over 400 professionals delivering cutting-edge datasolutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions.\nCome on Board!\nYour Task\nDesign and implement Azure-based data solutions for large-scale and unstructured datasets.\nDevelop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.\nCollaborate with solution architects to define and implement best practices in data engineering.\nEnsure data quality, scalability, and security across all Azure-based solutions.\nYour Profile\nStrong experience in data engineering, including working with Azure\nStrong Python for data processing and automation.\nHands-on experience with one of the following: Databricks, Snowflake, or Microsoft Fabric.\nStrong communication skills and very good English language skills.\nNice to have:\nStrong SQL skills and experience with database optimization.\nKnowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools (Terraform, Bicep).\nFamiliarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, Azure Functions.\nExposure to containerization (Docker, Kubernetes) and cloud security best practices.\nExperience in real-time data processing and streaming technologies like Kafka or Spark Streaming.\nHands-on experience with PySpark.\nCertifications such as DP-900, DP-203, AZ-204, or AZ-400.\nWhat You'll Love About Working Here\nWell-being culture: medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify.\nAccess to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.\nContinuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.\nEnjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.\n\nGet To Know Us\nCapgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube.\nAbout Capgemini\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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