Senior Databricks Data Engineer — Hybrid & Remote

Capgemini; Belgique; Hybrid; EUR 75,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Meal vouchers

Pension plan

Eco vouchers

Flex plan

32 vacation days

Job summary

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.

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.

Skills

Databricks

Spark

PySpark

SQL

Data modeling

Tools

Delta Lake

Lakehouse concepts

Job description

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