Data 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.

• Strong understanding of Microsoft Fabric architecture and trade-offs
• Experience with medallion architecture (bronze, silver, gold layers)
• Proven data modelling expertise, especially in the gold layer
• Hands-on experience with PySpark for data processing
• Experience with Data Factory and data pipeline orchestration
• Background in improving and optimising existing data platforms
• Experience designing scalable data solutions

• Own and continuously improve the existing Microsoft Fabric setup and architecture
• Design, build, and maintain bronze, silver, and gold data pipelines
• Develop and optimise gold layer data models for analytics and reporting
• Implement and maintain data transformations using PySpark
• Ensure platform scalability as new data sources and use cases grow
• Monitor and optimise performance, cost efficiency, and resource usage
• Extend the platform with new data solutions when required