Senior Data Platform Engineer

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions across strategy, technology, design, engineering, and business operations, reporting 2025 global revenues of €22.5 billion.

• Practical experience building data platforms using one or more cloud providers: AWS, Azure, or GCP.
• Strong understanding of large-scale data processing (Spark, Hive, Snowflake, Delta Lake or similar).
• Excellent SQL skills and experience with relational and/or NoSQL databases.
• Programming skills in Python or Scala.
• Experience with CI/CD tools (Azure DevOps, GitHub Actions, GitLab CI, Jenkins).
• Hands-on experience with Docker and Kubernetes.
• Knowledge of DataOps principles, data testing, and monitoring.
• Good understanding of data security, encryption, and identity/access management.

Nice to have:

• Familiarity with cloud AI/ML services or generative AI tools.
• Very good command of English.

• Design and develop scalable cloud-based Data Platforms (AWS, Azure, GCP).
• Build, optimize, and maintain data pipelines for batch and streaming workloads.
• Integrate with diverse data sources and expose data through APIs, semantic layers, and data warehouses.
• Work with cloud services including orchestration tools (Dataflow, Data Pipeline, ADF, MWAA, Cloud Composer), compute & processing services (Databricks, EMR, Glue, DataProc, Snowflake), and event-driven services (EventBridge, Pub/Sub, Event Hub).
• Design, develop, and optimize data models and multi-layered data processing architectures (bronze/silver/gold).
• Ensure efficient performance and optimization of SQL/NoSQL solutions.
• Collaborate with Data Scientists and engineering teams to operationalize ML models.
• Document data architectures, workflows, and technical processes.
• Ensure security, compliance, and robust data governance across the platform.
• Participate in architectural discussions and contribute to technology recommendations.