French multinational corporation headquartered in Paris, France
A code-first data engineer at Capgemini's Data Platforms team building scalable data pipelines, streaming and orchestrated workflows, and containerised services for UK Defence customers, including running ML/GenAI workloads in secure, sometimes air-gapped environments. Core stack: Python, Kafka/Spark, Airflow, Docker/Kubernetes, CI/CD, AWS/Azure/GCP.
A Data Engineer at Capgemini's Insights and Data Global Practice builds scalable cloud data platforms for clients — designing data pipelines, warehouses/lakehouses, and AI/ML models on AWS, Azure, and GCP with tools like Databricks, Snowflake, and Spark. Hybrid role based in London with SC clearance eligibility required.
Designs and builds modern data platforms and Big Data architectures on Google Cloud for Capgemini clients — developing ingestion and transformation pipelines in Python/PySpark, implementing Medallion Architecture data models, and applying data governance, data quality, and Infrastructure as Code with Terraform.
Capgemini Engineering is hiring a Cloud Data Engineer to work onsite in CDMX, building and maintaining ETL/ELT data pipelines that support analytics and reporting. Core stack is Python, PySpark, SQL, and Google Cloud services (BigQuery, Dataproc, Cloud Composer), delivered within Agile teams.
Sogeti (part of Capgemini) in Aix-en-Provence, France, seeks a senior Data Engineer with 5+ years of experience to design scalable data architectures and build real-time and batch pipelines using Snowflake, Palantir Foundry, Python, Spark, Airflow, and cloud platforms, applying DevOps/MLOps practices.
A 6-month-style internship (stage) in Aix-en-Provence for a data engineer & reporting student within the Ordering project: reliably extracting weekly SAP data, automating processing with Python and Google Apps Script/JavaScript, and turning raw data into clear Excel/Office reports and KPIs for Capgemini teams and an aerospace client.
Data Engineer specializing in Databricks within Capgemini's Insights & Data practice in Clermont-Ferrand, France. Day to day: translating client needs, designing and modeling data solutions, building warehouse data pipelines on Databricks, running UAT, and industrializing delivery using SQL, ETL tools and cloud platforms (Azure/AWS/GCP).
Consultant/data engineer in Capgemini's Insights & Data practice in Lyon, delivering GCP data cloud projects for clients: analyzing business needs, designing and modeling data solutions, building DataWarehouse feeding pipelines, running UAT and industrialization. Core stack: GCP, SQL, and ETL tools such as Airflow, DBT and Talend.
Capgemini is hiring an AWS Data Engineer (onsite/hybrid in Whippany, NJ) within its Financial Services business unit to design, build, and optimize scalable cloud data solutions. The role centers on ETL/ELT pipeline development, data lakes and warehousing with AWS services (S3, Redshift, Glue, EMR, Kinesis, Kafka) using Python, SQL, Spark, Terraform, and CI/CD.
A data governance consulting role at Sogeti (part of Capgemini) in Utrecht, advising clients across the Netherlands on data strategy, quality, lineage, compliance and governance. Day to day you run workshops, manage stakeholders and implement metadata management using DMBOK/DAMA frameworks and tools like Microsoft Purview, Collibra and Informatica.
Capgemini (Sogeti) is hiring a Medior Data Engineer in Groningen to design end-to-end data solutions and build modern cloud data platforms (data lakes, warehouses, lakehouses) using Microsoft Fabric, Databricks and Snowflake for clients across the Netherlands. Fluent Dutch (C1) is mandatory.
A senior engineer in Capgemini's Insights & Data practice in Wrocław who designs and builds scalable cloud data platforms on AWS, Azure, or GCP — batch and streaming pipelines, data models, orchestration, and operationalizing ML models. Core stack: Spark/Snowflake/Delta Lake, SQL/NoSQL, Python/Scala, Docker/Kubernetes, CI/CD.
Data Engineer at Capgemini Invent in Bangalore who designs, builds, and maintains scalable data pipelines in Snowflake, using Python, PySpark, SQL, Snowpipe, and DBT, with a focus on data ingestion, quality, governance, and CI/CD practices across cloud platforms.
Capgemini is hiring a Senior Data Engineer (hybrid, Fremont/San Francisco, CA) to design and lead data warehousing, data lake, and big data solutions on Azure — using Python, PySpark, SQL, Databricks, Synapse, and Medallion Architecture while leading development teams. Requires 8+ years data engineering experience; base pay is $133k–$150k.
Cloud Data Engineer at Capgemini Engineering in Vila Nova de Gaia, Portugal (hybrid): designs, builds, deploys, and supports Python/Flask backend services and REST APIs, containerized with Docker/Kubernetes and deployed on Azure, while running large-scale data processing with Databricks, Apache Spark, Redis, and PostgreSQL in Agile teams.
Capgemini is hiring a Data Engineer in New York to build and operate Databricks medallion-architecture pipelines (Bronze/Silver/Gold) with Unity Catalog governance for Helm, an agentic analytics platform serving financial-institution clients. Core stack: Databricks (Delta Lake, DLT/Lakeflow, streaming), Python, SQL, and GCP.
Capgemini is hiring a Data Engineering Lead/Manager in Cairo to drive a large-scale enterprise Data Lakehouse transformation: leading and mentoring data engineers, building batch/streaming pipelines, and owning data modeling, migration, quality and governance. Core stack includes Spark/PySpark, SQL, Kafka, Apache Iceberg and Cloudera Data Platform.
Capgemini's Insights & Data team in Warsaw (hybrid) seeks a Senior Snowflake Cloud Engineer to design, build, and optimize Snowflake data pipelines, lead on-prem-to-Snowflake migrations, and develop AI/ML solutions for clients. Core stack: Snowflake, SQL, Python/Scala/Java, and AWS/Azure/GCP.
Capgemini is hiring a Data Engineer in Lisbon (hybrid) with 4+ years of experience to build and maintain data pipelines, warehouses, and ETL/ELT processes on cloud platforms like AWS, GCP, or Azure. The core stack includes Python, SQL/NoSQL, Spark, and Airflow, plus DevOps/CI-CD practices.
Senior Data Engineer at Capgemini Engineering in Buenos Aires, designing and building batch and streaming data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS) for global client projects, collaborating in Agile teams using SQL, Python/Java, and Airflow.