French multinational corporation headquartered in Paris, France
Capgemini is hiring a Data Engineer to design, build, and maintain ETL/ELT pipelines, data warehouses, and lakehouse platforms supporting analytics and business operations. This is an onsite/hybrid role in Whippany, NJ requiring 5+ years of data engineering experience with SQL, Python/Java/Scala, and cloud/big data technologies.
A senior data engineer role at Capgemini in Geneva, working on a large-scale banking transformation program: designing and optimizing data pipelines, data lakes and ETL/ELT on AWS, and migrating on-premises data platforms to the cloud. Core stack is AWS data services (S3, Glue, Redshift, Athena, EMR, Lambda, Lake Formation) with SQL, Python, and Spark/PySpark.
Associate Data Engineer at Capgemini in Aix-en-Provence, France, supporting a team in building and maintaining reliable, scalable data infrastructure and systems. Capgemini is a global IT services and consulting firm working across cloud, data, AI, and digital engineering.
Capgemini is hiring a Data Engineer with an AI focus in London to build and run cloud data pipelines and AI-ready data products — batch/streaming ETL, lakehouse patterns, and RAG/vector pipelines for AI and agentic systems — for clients across AWS, Azure, GCP, Databricks and Snowflake. UK SC/DV security clearance eligibility is required.
At Capgemini in Nantes, France, you'll be a Tech Lead Databricks within the Insights & Data team: designing data lake architectures, building and monitoring batch/real-time ingestion and processing pipelines, leading code reviews, and mentoring engineers on Databricks, Delta Lake and Azure, with a path to the global Databricks Champions certification program.
Capgemini is hiring a confirmed Data Engineer in Lyon to design and build data collection, storage, and modeling solutions on cloud platforms (AWS, Azure, GCP), maintain data quality and access, and support analysts and data scientists while contributing to Big Data cluster standards and governance.
Sogeti (part of Capgemini) is hiring a Data Engineer/BI Developer in Borlänge, Sweden, to design and maintain data warehouses, ETL processes, and real-time data pipelines, and to build reports and dashboards in Power BI/Qliksense. Core tech: SQL, big data tools like Databricks, Spark/PySpark, Purview, and Fabric.
A Google Cloud Data Engineer at Capgemini designs, builds, and maintains scalable data platforms and ETL/ELT pipelines using BigQuery, Cloud Storage, Dataflow, and Airflow, ensuring data quality and performance for reporting, analytics, and AI use cases. The role is based in Bucharest and requires strong SQL and Python/Scala skills.
Senior Data & AI go-to-market and delivery leader at Capgemini who grows consulting revenue across consumer products, retail, travel & hospitality clients — shaping pursuits, building C-suite relationships, and overseeing delivery of data engineering, analytics, AI/ML, generative AI, and cloud transformation engagements. Based in the Seattle, WA area.
Sogeti (Capgemini Group) is hiring a Data Governance Collibra Platform Engineer in Diegem, Belgium, to implement and integrate data governance platforms like Collibra into modern data ecosystems, supporting metadata lineage, data quality, and AI compliance. Hybrid role (70% from home) working alongside data engineers and architects.
Capgemini is hiring an Azure Data Engineer in Bangalore to define, configure and deploy industrial digital technologies (PLM, MES) that keep information continuous across design, industrialization, manufacturing and supply chain. Day to day, the engineer works on manufacturing data management on Azure as a key contributor in a client-facing consulting environment.
Data engineer at Capgemini supporting a database migration: analyzing data pipelines and source-to-target mappings, and building/maintaining ETL and ingestion pipelines with Informatica, Sybase, SQL, Postgres/SQL Server, and Java, plus CI/CD tooling (Git, Jenkins, Docker) in an Agile, hybrid onsite environment.
A senior data engineer role at Capgemini's Insights & Data team in Wrocław, designing and implementing Azure-based Big Data/DWH solutions using Azure Databricks, Data Factory, Data Lake Gen2, Python and SQL, including on-prem-to-cloud migrations, CI/CD delivery, and mentoring junior engineers in a hybrid working model.
Sogeti (part of Capgemini) in Diegem, Belgium is hiring a Data Engineer to build and evolve cloud data platforms on Azure and Databricks — designing pipelines, ingestion, transformation, and data models that power analytics and AI use cases. Hybrid consulting role: 70% work from home, collaborating with architects and client teams.
A senior data engineer at Sogeti (Capgemini Group) in Diegem, Belgium who designs, builds, and operates end-to-end Databricks data pipelines for enterprise clients — from ingestion and PySpark/SQL transformations to Delta Lake lakehouse optimization, performance, and production reliability.
Data Engineer at Capgemini designing Modern Data Platforms and data architectures (Data Mesh, Lambda/Kappa) for clients, both on-premises and cloud: big data modeling, data integration & transformation, data quality and governance. Core stack includes Apache Spark, Hadoop, Kafka, Docker, Kubernetes and Git with CI/CD.
Supports Capgemini clients in building modern cloud data architectures: designing analytics, Big Data, and Data Warehouse solutions, developing ETL/ELT pipelines, and implementing data governance on AWS, Azure, GCP, Databricks, and Snowflake. Permanent hybrid role across several Italian cities.
An AI/Data Engineer at Capgemini's Insights & Data practice in Copenhagen designs, builds, and operates scalable data pipelines and data products for analytics and AI use cases in regulated enterprise client environments. Core stack includes Python, SQL, Databricks, Snowflake, and cloud platforms like Azure, AWS, or GCP.
Designs and builds large-scale data processing solutions and pipelines using Databricks and Python for Capgemini's clients, automating deployments with CI/CD and infrastructure-as-code in a major cloud (AWS, Azure, or GCP). Based in Bucharest, working closely with solution architects on data engineering best practices.
Data Science / Data Engineering consultant at Capgemini Invent in Issy-les-Moulineaux (France), building and industrializing Data, AI and GenAI solutions (LLM, RAG, agents) for defense-sector clients on sensitive, mission-critical decision-support projects.