Brussels Belgium (Cantersteen 1 1000 Brussels) 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.
Key Responsibilities
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.
Required Technical Skills
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
Profile
Bachelors or Masters 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
Nice to Have
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
Languages
French or Dutch: Native / Bilingual proficiency
Second language (French or Dutch): Good level
English: Professional working proficiency
Azure Data Engineer (Medior) Data & Analytics Brussels Belgium (Cantersteen 1 1000 Brussels) 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 an...
Azure Data Engineer (Medior) Data & Analytics
Brussels Belgium (Cantersteen 1 1000 Brussels) 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.
Key Responsibilities
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.
Required Technical Skills
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
Profile
Bachelors or Masters 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
Nice to Have
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