{"id":1805306,"url":"https://alion.io/job/capgemini-senior-data-platform-engineer-devops","title":"Senior Data Platform Engineer (DevOps)","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":75,"open_postings":915,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-05T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":86000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":94},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EventBridge","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-04T10:33:54Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-06T02:05:51Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you will be helped 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 ROLE\nIn a world where data drives every decision, we are the ones shaping its future. Within our Insights & Data practice, we build platforms and solutions that go far beyond traditional analytics - they redefine how organizations operate. We merge cloud technologies, big data processing, automation, MLOps, and generative AI to create intelligent, scalable data ecosystems designed for rapid innovation.\nWe experiment, prototype, and bring visionary ideas to life: generative AI-enhanced workflows, automated orchestration, low-latency streaming architectures, and production-grade machine learning platforms. We also explore emerging areas such as Quantum Computing and multimodal AI to unlock new technological frontiers.\nIf you want to co-create data solutions that challenge the status quo and set new standards for the industry, join us.\nYOUR TASKS\nDesign and develop scalable cloud-based Data Platforms (AWS / Azure / GCP). \nBuild, optimize, and maintain data pipelines for batch and streaming workloads. \nIntegrate with diverse data sources and expose data through APIs, semantic layers, and data warehouses. \nWork with cloud services, including: \norchestration tools (e.g., Dataflow, Data Pipeline, ADF, MWAA, Cloud Composer), \ncompute & processing services (e.g., Databricks, EMR, Glue, DataProc, Snowflake), \nevent-driven services (e.g., EventBridge, Pub/Sub, Event Hub). \nDesign, develop, and optimize data models and multi-layered data processing architectures (bronze/silver/gold). \nEnsure efficient performance and optimization of SQL/NoSQL solutions. \nCollaborate with Data Scientists and engineering teams to operationalize ML models. \nDocument data architectures, workflows, and technical processes. \nEnsure security, compliance, and robust data governance across the platform. \nParticipate in architectural discussions and contribute to technology recommendations. \nYOUR PROFILE\nPractical experience building data platforms using one or more cloud providers: AWS, Azure, or GCP. \nStrong understanding of large-scale data processing (Spark, Hive, Snowflake, Delta Lake or similar). \nExcellent SQL skills and experience with relational and/or NoSQL databases. \nProgramming skills in Python or Scala. \nExperience with CI/CD tools (Azure DevOps, GitHub Actions, GitLab CI, Jenkins). \nHands-on experience with Docker and Kubernetes. \nKnowledge of DataOps principles, data testing, and monitoring. \nGood understanding of data security, encryption, and identity/access management. \nNice to have: familiarity with cloud AI/ML services or generative AI tools. \nVery good command of English. \nWHAT YOU’LL LOVE ABOUT WORKING HERE\nWell-being culture: medical care with Medicover, private life insurance, and Sports 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.\n Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) 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. \nAward-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%!\nCutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. \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.\nDo 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 the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. 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