Data Engineer (Databricks / Azure)

• Design, build and maintain scalable data pipelines, both batch and streaming, on Azure and Databricks.
• Develop ingestion, transformation and data modelling processes using PySpark, Spark SQL and Delta Lake.
• Implement and optimise lakehouse architectures, following the medallion pattern (bronze, silver, gold).
• Orchestrate workflows with Azure Data Factory, Databricks Workflows or similar tools.
• Ensure data quality, governance, lineage and security, for example with Unity Catalog and access controls.
• Industrialise delivery through CI/CD, infrastructure as code and DataOps practices.
• Work closely with data analysts, data scientists, architects and business stakeholders within Agile teams.

The ideal candidate will have:

• At least 3 years of experience in data engineering.
• Hands-on experience with Databricks and the Azure data ecosystem, including ADLS Gen2, Data Factory, Synapse and Event Hubs.
• Strong skills in Python/PySpark and SQL.
• A good understanding of data modelling, performance tuning and distributed processing.
• Experience with Git, Azure DevOps or GitHub, and CI/CD pipelines.
• Fluent English, French and/or Dutch.

Nice to have:

• Databricks certification (Data Engineer Associate or Professional) or Azure certification (DP-203 / DP-700).
• Experience with Terraform, dbt, Kafka or Microsoft Fabric.
• Experience in banking, insurance or other regulated environments.

DigiTribe is looking for a Databricks Data Engineer in Belgium to help leading financial sector organisations build modern, reliable data platforms. You will design and run the pipelines that turn raw data into trusted, usable assets for analytics, reporting and AI.