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Capgemini

Capgemini

www.capgemini.com

164 Jobs

296,624 Employees

About the Company

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of EUR22.5 billion.

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Listed Jobs

Company background Company brand
Company Name
Capgemini
Job Title
Business Analyst Data & IA
Job Description
**Job Title** Business Analyst – Data & AI **Role Summary** Act as the bridge between business objectives and AI/data solutions. Identify and scope digital transformation use‑cases, translate them into actionable user stories, quantify business value and ROI, set KPIs, monitor outcomes post‑deployment, and guide the evolution of use‑cases into sustainable products. Lead onboarding, change management, and industrialisation efforts while collaborating closely with stakeholders and technical teams. **Expectations** - Minimum 5 years of consulting experience, preferably in data, big data or AI projects. - Strong grasp of emerging AI technologies (GenAI, Agentic AI, AI Act compliance). - Proven ability to model and transform business processes. - Effective communicator who can simplify AI concepts for non‑technical audiences. - Balanced blend of strategic vision and hands‑on execution. **Key Responsibilities** 1. Identify and prioritise AI/Data use‑cases for digital transformation. 2. Define scope, business value, ROI, and success metrics for each use‑case. 3. Draft and maintain detailed user stories and functional specifications. 4. Design and implement KPIs to measure quality, performance, and environmental impact. 5. Track value realised after deployment and report to stakeholders. 6. Support the transition of use‑cases into market‑ready products. 7. Onboard cross‑functional teams and drive change management initiatives. 8. Deliver demos and facilitate the industrialisation of AI solutions. **Required Skills** - Business analysis and requirement elicitation. - Experience in data, big data, or AI project scoping and delivery. - User story creation and agile methodology familiarity. - ROI calculation and business case development. - Process modelling and optimisation. - KPI definition and performance measurement. - Change management and stakeholder engagement. - Strong verbal and written communication in English. **Required Education & Certifications** - Master’s degree (Bac+5) in Computer Science, Engineering, Data Science or a closely related field. - Professional consulting background (mandatory). - Certifications in AI, Data, or Agile (e.g., Certified ScrumMaster, PMI-ACP, or relevant AI certifications) are a plus.
Issy-les-moulineaux, France
Hybrid
22-12-2025
Company background Company brand
Company Name
Capgemini
Job Title
Développeuse / Développeur confirmé Java fullstack
Job Description
Job title: Senior Full Stack Java Developer Role Summary: Lead end‑to‑end development for client projects in an agile environment. Design, code, test and deploy Java‑based applications, participate in technology selection, platform integration and continuous delivery, and collaborate closely with stakeholders to deliver high‑quality solutions. Expectations: - Minimum 5 years of professional experience in software development (ESN, client or consultancy). - Fluent in English, both written and spoken. - Strong desire to work in a challenging, cloud‑centric DevOps context. - Proven ability to work effectively in cross‑functional teams and adapt quickly to evolving client needs. Key Responsibilities: - Attend daily scrum meetings, sprint planning, reviews, and client demos. - Define technical specifications aligned with client requirements. - Design, develop, and maintain Java full‑stack applications, covering front‑end and back‑end components. - Configure and manage integration platforms, build pipelines, and CI/CD tooling. - Write and execute unit tests, enforce coding standards, and maintain test coverage. - Ensure deliverables meet quality, security, and regulatory standards. - Maintain transparent, proactive communication with clients to align expectations and deliver satisfaction. Required Skills: - Proficient in Java (Java 8/11 or newer) and related frameworks (Spring, Spring Boot, Hibernate, etc.). - Experience with front‑end technologies (React, Angular, Vue, or equivalent). - Familiarity with relational databases, RESTful APIs, and microservices architecture. - Knowledge of cloud platforms (AWS, Azure, GCP) and DevOps practices (Docker, Kubernetes, CI/CD). - Strong unit testing skills (JUnit, Mockito, TestNG). - Experience in agile development, ceremonies, and estimations. - Excellent communication skills in English. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience). - Optional/advantageous certifications: Oracle Certified Professional – Java SE, Certified Scrum Developer (CSD) or Agile Certified Practitioner (ACP), and any relevant cloud or DevOps certification (AWS Certified Developer, Azure Developer Associate, Kubernetes Administrator).
Lyon, France
Hybrid
Mid level
23-12-2025
Company background Company brand
Company Name
Capgemini
Job Title
Data Engineer confirmé
Job Description
Job title: Senior Data Engineer Role Summary: Design, build, and maintain scalable data pipelines and data infrastructure to enable reliable access by data analysts, scientists, and business users. Optimize data quality, governance, and compliance across on‑premise and cloud environments. Expectations: Deliver high‑quality, production‑grade data solutions within a cross‑functional team. Demonstrate expertise in data modeling, architecture, and cloud services while driving best practices for Big Data clusters, data governance, and security. Key Responsibilities: - Architect and develop end‑to‑end data pipelines for ingestion, transformation, and storage. - Manage and optimize relational (SQL) and non‑relational (NoSQL) databases (e.g., Oracle, MongoDB). - Ensure data quality, lineage, and accessibility for internal analytics teams. - Apply data governance, security, and compliance policies, working with the Cloud Architect. - Support cloud migrations, CI/CD pipelines, and container orchestration (Kubernetes, Docker). - Evaluate new technologies and programming languages to enhance project performance. - Mentor teammates and translate complex technical concepts into practical solutions. Required Skills: - Proficient in SQL and NoSQL data modeling and query optimization. - Hands‑on experience with AWS, Azure, or GCP services for data storage, processing, and orchestration. - Experience in Kubernetes and Docker for application deployment. - Familiarity with CI/CD practices and deployment pipelines for data workloads. - Knowledge of data governance, privacy regulations, and API management. - Strong analytical, problem‑solving, and communication abilities. Required Education & Certifications: - Bachelor’s or Master’s degree (Bac +5 equivalent) in Computer Science, Engineering, Data Science, or related field. - Professional certifications in cloud platforms (AWS Certified Solutions Architect, Azure Data Engineer Associate, GCP Professional Data Engineer) preferred.
Lyon, France
Hybrid
Junior
23-12-2025
Company background Company brand
Company Name
Capgemini
Job Title
Stage Ingénieure / Ingénieur Data Base (PFE)
Job Description
Job Title: Database Engineer Internship (Final Year Project) Role Summary: Support and administer enterprise databases (Oracle, PostgreSQL, SQL Server) for large‑account clients. Perform installation, configuration, performance tuning, and security management. Provide level‑1/2 technical support, maintain ticketing systems, analyze and optimize database performance, automate routine tasks, and contribute to ETL/ELT pipelines and business dashboards. Build migration verification tools and technology‑choice assessment tools. Expectations: * Final year (Bac+5) Computer Science student. * 5–6 month internship. * Passion for database management and operating systems. * Autonomous, self‑motivated, effective collaboration. * Good written and spoken English. Key Responsibilities: * Install, configure, and administer Oracle, PostgreSQL, and SQL Server databases. * Provide first‑ or second‑level support for DB incidents. * Maintain and update ticketing tools (ServiceNow, TeamDesk). * Analyze DB performance, propose and implement optimizations. * Automate maintenance tasks (MCO). * Develop and support ETL/ELT pipelines using Kafka, Spark, Airflow, etc. * Create insights and reports with Power BI, Kibana, Grafana. * Build pre‑migration verification tools for database migrations. * Design tools to recommend technology choices based on specifications. Required Skills: * Proficiency with Oracle, PostgreSQL, SQL Server. * Familiarity with MySQL, NoSQL (MongoDB, Cassandra). * Experience on Unix/Linux and Windows environments. * Scripting: Bash, PL/SQL, T‑SQL, Python. * Ticketing systems (ServiceNow, TeamDesk). * Performance analysis and tuning techniques. * ETL/ELT knowledge (Apache Kafka, Spark, Airflow). * BI/dashboard tools (Power BI, Kibana, Grafana). * English documentation reading. Required Education & Certifications: * Current enrollment in a 5‑year Computer Science or related degree program. * No mandatory certifications; knowledge of database concepts required.
Mérignac, France
On site
24-12-2025