French multinational corporation headquartered in Paris, France
Scegliere Capgemini significa scegliere un’azienda in cui sarà possibile plasmare la propria carriera nel modo desiderato, dove si sarà supportati e ispirati da una comunità collaborativa di colleghi in tutto il mondo…
Cloud Architect at Capgemini in Stockholm who drives Nordic-level cloud strategy, advises clients as a trusted advisor, and builds cloud-native solutions on AWS or GCP with a focus on DevSecOps, generative and agentic AI. Requires 6+ years of cloud experience, programming skills, and fluent Swedish and English.
A London-based (hybrid) Technical Analyst in Capgemini's Data Trust Capability team, responsible for implementing, configuring, monitoring, and optimising Microsoft Purview across information protection, data loss prevention, data governance, records management, insider risk, and eDiscovery.
Junior data analyst / BI engineer at consulting firm Capgemini, based in Diegem (Belgium), delivering data & analytics projects for clients across sectors: building scalable data platforms, designing data models and ETL/ELT pipelines, and creating SQL-based BI reporting, often on cloud platforms like Azure, AWS or GCP.
A Content Designer in Capgemini Invent's UK Digital Excellence team creates and iterates user-centred, accessible content for public- and private-sector client projects in Agile multidisciplinary teams. Core focus areas are GDS service standards, WCAG accessibility, plain English content, and inclusive design.
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.
Capgemini is hiring a Senior Data & AI Architect in Berlin to translate client requirements into scalable end-to-end data and AI architectures. The role centers on cloud platforms (AWS, Azure, GCP), Databricks, Snowflake, and Lakehouse/Data Mesh/Streaming concepts, including integrating GenAI and agentic AI solutions.
Cloud/DevOps engineer at Capgemini in Schiltigheim, France, building and operating CI/CD toolchains (Jenkins, GitLab, SonarQube, Artifactory) and automating AWS/Azure infrastructure with Terraform, Kubernetes, and Grafana for client cloud transformation projects.
A Polarion ALM Technical Consultant at Capgemini Engineering who administers, configures, and maintains clients' Siemens Polarion ALM platforms — handling upgrades, migrations, troubleshooting, and infrastructure (application servers, databases, integrations) while working directly with enterprise customers. Core tech: Polarion ALM, Linux/Windows server administration, PostgreSQL/SQL Server, and L
Senior data architect at Capgemini's Data & AI team, joining a banking-sector project in Madrid. The role designs and leads implementation of AWS cloud data platforms (Redshift, Glue, DBT, SageMaker, Lake Formation) and end-to-end batch/streaming architectures using Spark, Iceberg, Airflow and Kafka.
Choisir Capgemini, c'est choisir une entreprise où vous serez en mesure de façonner votre carrière selon vos aspirations. Avec le soutien et l'inspiration d'une communauté d’experts dans le monde entier , vous pourrez…
Lead operational service delivery for Capgemini's Cloud & Infrastructure Services SRE managed service, owning incident, problem, change, and SLA/SLO performance for clients. Requires SRE/DevOps leadership experience and UK Security Check (SC) clearance; hybrid working based in Woking, UK.
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.
Backend architect at Capgemini for a banking-sector client, working hybrid from Mexico City. Day to day: designing distributed architectures (microservices, DDD/CQRS/event sourcing), APIs (REST/GraphQL/gRPC), scalability, security and observability, using Java/.NET/Node.js/Python, Kafka/RabbitMQ, cloud platforms and SQL/NoSQL databases.
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.
Capgemini Engineering is hiring an Agentic AI / LLM Developer to design and build enterprise chatbot solutions and backend services in Python and TypeScript, using agentic frameworks like LangChain/LangGraph, RAG architectures, and cloud tooling (AWS/Azure/GCP, Docker, Kubernetes). Hybrid role across several Italian cities on a permanent contract.
A Technical Business Analyst Consultant joins Capgemini Invent's Digital Excellence community, acting as a bridge between business and IT on client projects — translating requirements into technical features and user stories, analysing systems and data, and supporting delivery practices like CI/CD and agile backlogs. Core focus areas include technical architecture, databases (SQL), data visualisat
DevOps Engineer at Capgemini Engineering's Quick Start Pool in Ukraine, designing and building new AWS infrastructure, migrating existing services, and setting up centralized logging/monitoring while ensuring uptime and cost efficiency. Core tech: AWS, Terraform/CloudFormation, CI/CD, Docker, Kubernetes, Git, Bash/Python.
Senior Data Analyst & BI Engineer at Capgemini in Diegem, Belgium, delivering end-to-end data and analytics projects for clients: designing data models and ETL/ELT pipelines, building BI reporting, and advising on data architecture using SQL, modern BI tools and cloud platforms such as Azure, AWS or Google Cloud.