Senior Databricks Data Engineer — Hybrid & Remote

Capgemini; Belgique; Hybride; EUR 75 000 - 100 000; Plein temps

Avantages offerts par ce poste

Health insurance

Meal vouchers

Pension plan

Eco vouchers

Flex plan

32 vacation days

Résumé du poste

Sogeti Belgium is seeking a senior data engineer to design, implement, and operate Databricks-driven data solutions in complex enterprise environments. You will own end-to-end Databricks workloads, from ingestion to delivery, collaborating with data architects and client teams to ensure scalable, production-ready systems.

You will work with Spark and PySpark in production, leverage Lakehouse and Delta Lake patterns, and optimize performance and cost while ensuring data quality for analytics and

Qualifications

• 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; French is a plus.

Responsabilités

• 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.

Connaissances

Databricks

Spark

PySpark

SQL

Data modeling

Outils

Delta Lake

Lakehouse concepts

Description du poste

Sogeti Belgium is seeking a senior data engineer to design, implement, and operate Databricks-driven data solutions in complex enterprise environments. You will own end-to-end Databricks workloads, from ingestion to delivery, collaborating with data architects and client teams to ensure scalable, production-ready systems.

You will work with Spark and PySpark in production, leverage Lakehouse and Delta Lake patterns, and optimize performance and cost while ensuring data quality for analytics and