Senior Databricks Data Engineer

You design, implement, and operate Databricks-based data solutions in complex enterprise environments. You take ownership of end-to-end Databricks workloads, from ingestion and transformation to optimization and reliable delivery. You work closely with data architects, analytics consultants, and client teams to ensure data solutions are scalable, performant, and fit for production use. Core responsibilities:

• Design and build scalable data pipelines using Databricks and Spark
• Implement transformation patterns using PySpark and SQL
• Apply lakehouse and Delta Lake patterns for reliable data processing
• Optimize performance, stability, and cost of Databricks workloads
• Collaborate with architects and engineering teams on platform design choices
• Ensure data availability and quality for analytics, AI, and advanced use cases

• Strong experience as a senior data engineer working with Databricks
• Hands-on experience with Spark and PySpark in production environments
• Solid experience with Databricks lakehouse concepts and Delta Lake
• Strong knowledge of SQL and data modeling concepts
• Professional working proficiency in English and Dutch is required. Knowledge of French is a strong advantage.

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Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.