- Design, develop and maintain scalable data pipelines on Azure and Databricks.
- Collect, transform and integrate data from multiple internal and external sources.
- Ensure data quality, consistency, traceability and governance across the data platform.
- Manage and optimize Azure Data Lake, Databricks workspaces and distributed data processing environments.
- Develop data models and datasets to support grid studies, scenario management and business analytics.
- Enable and support AI, Machine Learning and advanced analytics use cases by providing trusted and well-governed datasets.
- Explore and implement AI-driven solutions to improve data quality, automate processes and enhance decision-making.
- Implement monitoring, automation and performance optimization of data workflows.
- Collaborate with business stakeholders to translate data requirements into technical and AI-enabled solutions.
- Maintain technical documentation in Markdown and Confluence.
Requirements:
- Fluent in Python (Pandas, Polars) with proven project experience.
- Knowledge of R (particularly data.table) is considered as a strong asset.
- Fluent with advanced Excel features and VBA.
- Advanced knowledge of SQL and data access frameworks.
- Knowledge of outscaling technologies (e.g., Databricks, Azure, PySpark) is required.
- Good understanding of scalable and distributed data processing.
- Ability to develop and maintain data pipelines, analytical datasets, and data products.
- Experience building dashboards and reporting solutions using Power BI or Streamlit.
- Ability to transform complex data into actionable insights and KPI monitoring tools.
- Familiarity with AI/ML concepts and AI-enabled data solutions is an asset.
- Experience with Git and collaborative software development practices.
- Strong focus on code quality, maintainability, and knowledge sharing.
- Experience documenting solutions using Markdown and Confluence.
- Prior experience in the energy sector, power systems, or grid planning is a strong plus.
- Bachelor's degree in IT, Computer Science, Data Engineering, or equivalent experience; Master's degree is a plus.
- Fluent in English; knowledge of Dutch and/or French is a strong advantage.
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