Azure Data Engineer – Databricks & Unity Catalog

Our client, a leading organization in the public transportation sector, is looking for an experienced Azure Data Engineer to strengthen their data and analytics team. The role focuses on the continuous development, optimization, and governance of a modern data platform to support advanced business use cases and data science initiatives.

• Design and develop scalable data pipelines using Azure Data Factory and Databricks.
• Implement modern data architectures including Data Lake, Delta Lake, and Lakehouse patterns.
• Manage Databricks Unity Catalog for data sharing, permissions, and robust governance.
• Automate data ingestion, transformation, and deployment processes to enhance platform efficiency.
• Monitor and optimize resource consumption and performance within Azure and Databricks environments.
• Collaborate with data scientists and business stakeholders to industrialize new analytics use cases.

• 5+ years of experience in data engineering with a focus on Azure cloud environments.
• You possess deep expertise in Azure Databricks and Unity Catalog, including Lakehouse design and security.
• You bring advanced skills in Spark, PySpark, and Delta Lake for large-scale data processing.
• You have strong proficiency in SQL and Python for data manipulation and platform automation.
• You possess experience with Azure Data Factory, Azure Storage, Azure SQL, and Key Vault.
• You have knowledge of CI/CD principles and Azure DevOps applied to data engineering.
• You bring familiarity with application integration patterns such as REST API and AMQP.
• You're proactive and possess an analytical mindset with strong communication skills.
• You are fluent in French or Dutch with professional proficiency in English.

Nice to Haves

• Possession of Microsoft Azure or Databricks certifications.
• Experience with Power BI administration and governance.
• Knowledge of Terraform or Infrastructure as Code.
• Familiarity with real-time data streaming and Azure Monitor.
• Basic knowledge of SAP data sources like S/4HANA or BW/4HANA.

• Start date: 04/01/2027
• Duration: 12 months
• Work regime: Full-time
• Location: Brussels
• Working model: Hybrid (2 to 3 days per week on-site)
• Contract: Open to both permanent employees and freelancers