Data Engineer (Python, Azure, Databricks & PySpark)

You will contribute to the development of scalable data solutions supporting grid planning, scenario management and data-driven decision-making, working with technologies such as Azure, Databricks, Python and PySpark., * Design, develop and maintain scalable data pipelines on Azure and Databricks

• Collect, transform and integrate data from multiple sources
• Ensure data quality, governance and traceability across the data platform
• Develop data models and analytical datasets for grid studies and scenario management
• Support AI, Machine Learning and advanced analytics use cases
• Optimize data workflows through monitoring, automation and performance improvements
• Develop dashboards and reporting solutions using Power BI or Streamlit
• Translate business requirements into technical and data-driven solutions
• Maintain technical documentation using Markdown and Confluence

• Proven experience as a Data Engineer, Data Scientist or Data & AI Engineer
• Strong knowledge of Python, Pandas/Polars and SQL
• Hands-on experience with Azure, Databricks and PySpark
• Good understanding of scalable and distributed data processing
• Experience building data pipelines, datasets and data products
• Knowledge of Power BI, Streamlit, R or VBA is a plus
• Familiarity with AI/ML concepts and Git
• Experience in the energy, utilities or power systems sector is a strong advantage
• Strong focus on code quality, maintainability and knowledge sharing
• Fluent in English; Dutch and/or French is a strong advantage
• Willing to work 3 days per week on-site in Brussels

What we offer

• An exciting role within a leading player in the Belgian and European energy sector
• The opportunity to contribute to the energy transition through innovative digital solutions
• A technically challenging environment using Azure, Databricks, Python and PySpark
• A professional and collaborative environment with room for expertise and initiative