About this role
Responsibilities Design, develop, and maintain scalable data pipelines using Azure and Databricks . Integrate data from diverse internal and external sources to ensure consistency and quality across the platform. Manage and optimize Azure Data Lake and distributed data processing environments. Develop sophisticated data models and datasets to support business analytics and long-term grid planning. Implement monitoring and automation for high-performance data workflows. Collaborate with stakeholders to translate business requirements into technical and AI-enabled solutions. Requirements You have 5+ years of expert knowledge in SQL and data access frameworks. You bring 3+ years of data engineering experience with Azure , Databricks , and PySpark . You possess 3+ years of experience with Python , specifically utilizing Pandas and Polars . You have 3+ years of experience building dashboards and reporting solutions with Power BI or Streamlit . You possess 3+ years of experience using advanced Excel features and VBA . You bring experience with Git and collaborative software development practices. You have a strong focus on code quality, maintainability, and knowledge sharing. You are fluent in English with knowledge of Dutch and/or French . Nice to Haves Knowledge of R , particularly data.table . Familiarity with AI/ML concepts and AI-enabled data solutions. Experience documenting solutions using Markdown and Confluence . Prior experience in the energy sector, power systems, or grid planning.