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# Senior Databricks Data Engineer

- **Company:** Capgemini
- **Location:** Diegem (Machelen), Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Systems, Standard Sql, Data Processing, System Availability, Apache Spark, Build Management, Data Lakes, Pyspark, Data Pipelines, Databricks
- **Published:** July 11, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=f74ee5f8acb22319

## About the Role

* 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.

## Description

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


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