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# Data Engineer (Databricks / Azure)

- **Company:** Digitribe
- **Location:** Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Distributed Computing Environment, Github, Python (Programming Language), Performance Tuning, Azure Data Lake, SQL Databases, Azure Service Bus, Azure Data Factory, Git, Microsoft Fabric, Pyspark, Apache Kafka, Terraform, Databricks
- **Published:** November 12, 2026
- **Apply:** https://digitribe.be/jobs/data-engineer-databricks-azure/

## About the Role

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.

## Description

* 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.