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 (e.g., Dataflow, Data Pipeline, ADF, MWAA, Cloud Composer), compute & processing services (e.g., Databricks, EMR, Glue, DataProc, Snowflake), and event-driven services (e.g., 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.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. Individuals are evaluated based on qualifications and performance, not personal characteristics.