{"id":1806650,"url":"https://alion.io/job/capgemini-senior-ai-data-engineer-aidata-platform-cloud-technologies-python","title":"Senior AI Data Engineer (AI/Data Platform, Cloud Technologies, Python)","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":932,"ghost_share":0,"stale_share":0.996,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":88000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":76},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-06-03T10:30:06Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-06T23:51:23Z","board_verified":true,"closed_at":null,"days_open":125,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":124},"description":"At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.\nYour role\nAs a Senior AI Data Engineer, you will design, develop, and optimize scalable AI-ready data platforms and cloud-based data pipelines that support advanced analytics, machine learning, and Generative AI initiatives. You will collaborate closely with Data Scientists, AI Engineers, and cross-functional teams to deliver secure, high-performance, and enterprise-grade data solutions that drive business innovation and operational excellence.\nYour project\nYou will be part of a modern data and AI transformation program focused on building scalable cloud-native data platforms, real-time data processing systems, and AI infrastructure. The project includes development of data lakes, lakehouse architectures, and AI/ML pipelines supporting enterprise analytics and Generative AI use cases.\nYour client\nOur client is a global technology-driven organization investing in advanced data engineering, AI platforms, and cloud modernization initiatives. The environment promotes innovation, collaboration, and adoption of cutting-edge technologies to accelerate digital transformation and business growth.\nYour tasks\nDesign and develop scalable ETL/ELT pipelines for structured and unstructured data\nBuild and optimize cloud-native data platforms and lakehouse architectures\nSupport AI, machine learning, and Generative AI workflows with high-quality data solutions\nDevelop batch and real-time data processing pipelines using Spark and Kafka\nImplement data governance, quality monitoring, and security best practices\nCollaborate with Data Scientists and AI Engineers on model training and deployment pipelines\nAutomate workflows using orchestration and CI/CD tools\nOptimize system performance, scalability, and infrastructure costs\nYour profile\n5+ years of experience in Data Engineering or AI Data Platform development\nStrong expertise in Python, SQL, and PySpark\nHands-on experience with Apache Spark, Kafka, Hadoop, and Databricks\nExperience with Snowflake, BigQuery, or Redshift\nStrong knowledge of AWS, Azure, or Google Cloud Platform\nExperience with Airflow, dbt, Prefect, Docker, and Kubernetes\nFamiliarity with Terraform, CI/CD pipelines, Git, Jenkins, and GitHub Actions\nKnowledge of Vector Databases, LLM Frameworks, and modern AI architectures\nStrong analytical, communication, and problem-solving skills\nExperience working in Agile and collaborative environments\nWhat You'll love about working here\n Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.\n Access 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, TED Talks and Udemy Business materials and trainings.\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.\n Enjoy 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.\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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