Azure Data Engineer JP053918

Azure Data Engineer (Medior) – Data & Analytics

Full-time | Contract: 11 May 2026 – 31 December 2026 (8 months)

About the Role

As part of its 2026 digital roadmap, STIB is launching an ambitious data transformation program to modernize its data platform and strengthen data-driven decision making.

Key initiatives include:

• Migrating non-SAP data to Microsoft Azure
• Implementing strategic data use cases delivering business value
• Building a self-service reporting strategy for teams across the organization

To support these initiatives, we are looking for a Medior Azure Data Engineer to join the Data & Analytics team and contribute to building a scalable, reliable, and modern data ecosystem.

• Design, develop, and maintain scalable data pipelines on the Microsoft Azure platform.
• Build modern data architectures such as Data Lake, Delta Lake, and Lakehouse.
• Implement automated processes for data ingestion, transformation, and delivery.
• Work closely with Data Analysts, Data Scientists, and business stakeholders to translate requirements into technical solutions.
• Document data models, data flows, and best practices.
• Support the implementation of self-service reporting solutions using Power BI and Databricks.
• Maintain and optimize the Microsoft Azure data platform.
• Ensure performance, scalability, reliability, and security of data systems.

• Strong experience with Microsoft Azure services, including:
• Azure Data Factory
• Azure Databricks
• Azure SQL
• Azure Storage
• Key Vault
• Azure DevOps
• Experience with distributed data processing frameworks (Spark, PySpark, Databricks)
• Strong programming skills in SQL, Python, and/or Scala
• Knowledge of CI/CD principles for data engineering
• Experience with Power BI administration and governance
• Experience with real-time data streaming
• Knowledge of application integration patterns (REST API, AMQP)
• Ability to apply data engineering best practices

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• Minimum 5 years of experience in a similar data engineering role
• Strong analytical mindset and attention to detail
• Ability to work independently and collaboratively
• Strong communication skills with the ability to explain technical concepts clearly

• Microsoft Azure Certification (e.g., DP-203)
• Databricks Certification (e.g., Databricks Data Engineer Associate)
• Experience working in Agile/Scrum environments
• Experience with monitoring tools such as Azure Monitor or Log Analytics
• Basic SAP knowledge (S/4HANA as a data source)
• Experience with Azure architecture, solution design, and cloud governance

• French or Dutch: Native / Bilingual proficiency
• Second language (French or Dutch): Good level
• English: Professional working proficiency