Data Engineer (Python, Azure, Databricks & PySpark)

Bridge Industrial bv.; Brussel Hoofdstad; Sur place; EUR 60 000 - 95 000; Plein temps

Résumé du poste

Bridge Industrial bv. in Belgium is seeking an experienced Data Engineer to support SGS team within Grid Development for strategic digital projects in the energy sector.

You will design scalable data pipelines on Azure and Databricks, develop data models, and enable data-driven decision making with Python, PySpark and BI tools.

The role requires on-site presence three days a week in Brussels and a passion for clean code, collaboration, and knowledge sharing.

Qualifications

• 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.
• Fluent in English; Dutch and/or French is a strong advantage.
• Willing to work 3 days per week on-site in Brussels.

Responsabilités

• 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

Connaissances

Python

Pandas/Polars

SQL

AI/ML concepts

Outils

Azure

Databricks

PySpark

Power BI

Streamlit

R

VBA

Git

Description du poste

For a strategic digital project within the Belgian energy sector, we are looking for an experienced Data Engineer to support the Scenarios & Grid Studies Solutions (SGS) team within Grid Development.

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.

Your responsibilities

• 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

The profile we are looking for

• 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