French multinational corporation headquartered in Paris, France
Office-based Workday Technical Consultant in Capgemini's Manchester Workday Practice, delivering managed services (AMS) for live Workday environments. Day to day: designing and supporting Workday integrations (Studio, EIB, Core Connectors, Cloud Connect, APIs), building and maintaining Workday Extend apps, handling incidents and enhancements, and driving optimisation for global clients.
A delivery-focused developer at Capgemini who designs, builds and implements Dynamics 365 and Power Platform solutions for client projects, working in an agile, cloud-first team with DevOps practices. Core stack includes Dynamics 365 SDK, Power Platform, .NET, Dataverse Web API and Azure DevOps CI/CD, with hybrid working from Cardiff (SC clearance required).
Lead Data Engineer at Capgemini in Lyon, France: designs and builds data collection, storage and modeling solutions on cloud platforms (Azure, GCP, Snowflake, Databricks) using Spark, Kafka, Java, Scala and Python, ensures data quality and access for analysts and scientists, drives technical design, and mentors and grows the data team.
Senior DevOps Engineer at Capgemini in Iasi, Romania, working on a cloud transformation program building and operating sovereign cloud platforms. Day to day: developing Go-based Kubernetes operators and platform automation, applying IaC and GitOps (Terraform, ArgoCD/Flux), and driving SRE, observability, and CI/CD practices in a hybrid work setup.
Medior test automation consultant at Capgemini in Utrecht, working on assignments for leading public- and private-sector clients: building and improving test automation frameworks, writing and executing test plans, and embedding automation in Agile/DevOps environments with tools like Playwright, Robot Framework and Tosca, while growing toward more responsibility.
Lead technical authority at Capgemini designing and delivering end-to-end IT/OT solution architectures across operational technology, industrial data, edge and cloud (Azure/AWS) environments, from discovery through implementation in live industrial settings, including OPC UA, MQTT and event-driven integration.
A full stack developer at Capgemini's Mississauga office who designs, builds, and maintains responsive web applications using Angular 11+ on the frontend and .NET/ASP.NET/C# on the backend, integrating REST APIs and working in Agile/Scrum teams.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world,…
Manual QA tester at Capgemini's Aguascalientes (Mexico) site, designing and documenting test cases from user stories, executing functional, integration and regression tests, and logging defects. Day-to-day tools include ALM, Jira, Trello, SOAP UI, Postman, basic JMeter and SQL, Git, and Excel/Word.
Senior React developer at Capgemini Engineering in Lisbon, helping design, build, and deliver cloud-native applications, APIs, and microservices while mentoring teams and guiding technical decisions. Core stack is TypeScript, React, and Golang, with CI/CD, containers, and DevOps practices in a hybrid work model.
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…
A senior client-facing Lead Principal Cloud Architect at Capgemini works onsite in Irvine, CA as a CTO-style advisor to a client, defining multi-cloud (GCP/Azure/AWS) and hybrid infrastructure strategy, governance, and roadmaps while leading architecture reviews, incident RCA, MSP design reviews, and IaC/FinOps adoption.
Capgemini is hiring a Full Stack Java Developer with 4–6 years of experience (based in Jersey City, NJ / New York) to design and build scalable enterprise applications and event-driven microservices. Day-to-day work centers on Java 11+, Spring Boot, Angular, Kafka, MongoDB/SQL, and monitoring via the ELK stack within Agile teams.
Cloud/DevOps architect at Capgemini in Pau, France: audits client environments, designs cloud architectures (Azure, AWS, GCP) using frameworks like TOGAF, and leads CI/CD and Terraform-based IaC adoption while coaching delivery teams. Requires 3+ years of software/cloud architecture experience in consulting or an ESN.
Senior Data Scientist at Capgemini advising German public sector clients (federal, state, municipal) on AI adoption — taking solutions from use-case idea through data pipelines and modeling to production integration, with focus on ML, NLP, generative/LLM and agentic AI using Python, SQL, Spark and cloud or sovereign platforms.
A Python Developer at Sogeti (part of Capgemini) in Utrecht builds scalable software for large Dutch organizations, working across the full lifecycle — design, development, deployment, optimization, and maintenance — using Python, OOP, APIs, Git, and CI/CD. Requires 6+ years of experience and fluent Dutch (C1).
A medior/senior technical architect at Capgemini's Blue Harvest (Utrecht, hybrid) who designs and leads enterprise Salesforce CRM implementations for financial-institution clients, using Financial Services Cloud, Agentforce, Apex, Lightning Web Components, and middleware like MuleSoft and Boomi, including legacy migrations and AI-powered engagement.
Data Engineer on Capgemini's Insights & Data team in Wrocław, Poland, designing large-scale data processing solutions in Databricks and building data pipelines with Python and cloud-native tools across AWS, Azure, or GCP. Focus areas include data consistency, security, scalability, and DevOps practices.
An IFS Developer at Capgemini's PBS Sweden unit builds and customizes ERP solutions within IFS Cloud for public and private sector clients, working alongside analysts and solution architects. Core technologies include Java, PL/SQL, .NET, SQL, Git, and REST APIs.
Capgemini is hiring a Data Engineer in Singapore to own end-to-end data pipeline design and delivery, including data modeling, storage architectures, and data quality, observability and governance, while supporting future AI/retrieval-based solutions. Requires 5-7+ years in software engineering with strong ETL/ELT, batch/streaming, backend and cloud data platform experience; Databricks preferred.