French multinational corporation headquartered in Paris, France
At Sogeti (Capgemini group) in Lyon, you'll build and deploy large-scale data pipelines on Databricks, model data, optimize Spark ETL/ELT workflows, and collaborate with data scientists and business teams. Requires ~3 years of data engineering experience plus cloud (Azure/AWS/GCP), Git, DevOps, and SQL skills.
Capgemini is hiring a Senior GCP Data Engineer in Lille, France, for its Insights & Data practice: designing data architectures, building batch/real-time ingestion pipelines, and industrializing and monitoring data flows on GCP (BigQuery, Dataproc, Dataflow, Composer, Vertex AI, Looker) using Python, SQL, Spark, CI/CD, and infrastructure as code.
Data Engineer at Sogeti (part of Capgemini Group) in Östersund, Sweden, working mostly remotely from the delivery center for client engagements. Day to day: building data platforms, ETL/ELT pipelines, and scalable cloud data architectures on Azure/AWS using SQL, Python, and CI/CD.
Chez Sogeti, la technologie coule dans nos veines . C’est cet intérêt pour la technologie qui nous guide au quotidien et qui est reflété dans notre slogan « Made In Tech ». Grâce à notre passion commune pour la…
Data engineer at Capgemini Engineering who leads and hands-on delivers the completion and optimisation of cloud data pipelines for a client pilot, translating architecture decisions into work packages and coaching internal teams. Core tech: AWS, lakehouse/medallion architecture with Apache Iceberg and S3; hybrid advisory + delivery model with regular on-site presence in Geneva.
Data Engineer at Sogeti (Capgemini Group) in Stockholm, developing, automating and maintaining modern cloud data solutions and scalable pipelines in Azure or AWS using Microsoft Fabric, Azure Databricks, Azure Data Factory and AWS data services. Requires 3+ years of SQL, Python, PySpark, ELT, Git and CI/CD, Azure Data Platform certifications, and fluent Swedish.
Senior Data Engineer at Capgemini's Insights & Data team in Utrecht, Netherlands, designing and building data pipelines, integrating data sources, and optimizing data infrastructure for clients, from requirements through production. Works with Spark, Databricks, Azure, AWS, Kafka, and Snowflake in multidisciplinary teams.
Expert Data Engineer at Capgemini Invent (digital transformation consulting) in Issy-les-Moulineaux, France: builds high-volume data pipelines, deploys data infrastructure with IaC/CI-CD on cloud or on-premise, develops containerized REST back-end apps exposing data/AI models, and designs full data architectures. Stack includes Spark, dbt, Airflow, Python/Scala/Java, AWS/GCP/Azure, Databricks/Snow
Capgemini is hiring a Data Engineer in Wrocław, Poland to join its Insights & Data team, designing and building scalable, cloud-native big data and DWH solutions on AWS (Glue, Redshift, Lambda, S3, Kafka, Spark) within CI/CD pipelines, supporting analytics and ML for clients. Hybrid working model after onboarding.
Data Engineer in Capgemini Portugal's Data & AI consulting team, designing and maintaining batch and streaming data pipelines and lakehouse solutions on Databricks (Spark/PySpark, Delta Lake, Unity Catalog) for client projects, with CI/CD, performance tuning, and pre-sales support. Hybrid role based in Lisbon.
Senior Data Engineer at Capgemini in Pune, India, leading and managing a team of data engineers and overseeing data engineering projects to deliver reliable, scalable data infrastructure and high-quality data solutions. Capgemini is a global IT services and technology transformation consultancy.
Capgemini is hiring a Data Engineer for a ~2-year data science project in the financial/banking sector, working in a small agile squad. Day to day: building reliable, scalable data infrastructure using Azure, Databricks/DBT and data modelling, with ~50% onsite presence in Antwerpen, Belgium.
Capgemini is hiring a Data Governance Managing Consultant in London to help clients establish and run data governance programmes — improving data quality, protecting sensitive data, and defining roles, policies, and standards. The role also involves leading project teams and bids, generating sales, and building client relationships.
A people-manager role in Capgemini's Insights & Data team in Stockholm: lead and develop a team of 5-10 data engineering consultants while staying hands-on with cloud data platforms like Azure, GCP, Fabric, Snowflake, and Databricks, building data pipelines, lakehouses, and AI/ML solutions for clients.
Senior Data Engineer on Capgemini's Insights & Data team in Warsaw (hybrid), designing, building, and maintaining scalable data platforms and ETL/ELT pipelines on Google Cloud using BigQuery, Dataflow, Airflow, and Cloud Storage, ensuring data quality and supporting reporting, analytics, and AI use cases.
Data Engineer at Capgemini's Insights & Data team in Poznań, designing and maintaining cloud ETL/ELT pipelines, integrating data from databases, APIs and streaming sources, and ensuring data quality for international client projects. Core stack includes Python, AWS/Azure/GCP, Airflow/Prefect, and Databricks.
Experienced data engineer at Capgemini in Montbonnot-Saint-Martin, France: design and industrialize data pipelines and visualization tooling in cloud DevOps environments, and mentor junior data engineers on client projects. Stack: Python, SQL, Oracle/Postgres, ETL (Talend/Informatica), Qlik/PowerBI/Tableau, AWS/Azure/GCP, Kubernetes/Terraform.
Capgemini Portugal's Data & AI consulting team in Lisbon is hiring a Senior Data Engineer to design, build, and maintain batch and streaming data pipelines and lakehouse solutions using Databricks (Spark/PySpark, Delta Lake, Unity Catalog), including CI/CD, performance tuning, and pre-sales support on client projects.
An AI/Data Engineer at Sogeti (part of Capgemini) in Västerås, Sweden, helping clients drive strategic and operational improvements by designing and implementing AI and data solutions. Core stack includes Python, SQL Server, Azure Data Factory, Data Lake, and Databricks; fluent Swedish is required.
Senior Data Engineer at Capgemini Engineering in Buenos Aires designing, building, and maintaining scalable data pipelines and ETL/ELT processes on Azure — primarily Azure Data Factory and Databricks with Python/Spark — while monitoring jobs, troubleshooting failures, and supporting analysts and data scientists.