JOB TITLE: DATA ENGINEER SERVICE

LOCATION: MONNOYER AND EMPEREUR BELGIUM

DURATION:21/09/2026 - 31/12/2027

LANGUAGES: DUTCH, FRENCH AND ENGLISH

WORK REGIME:100% (FULL-TIME - HYBRID) 2 TO 3DAYS ONSITE

SERVICE DESCRIPTION:

- We are looking for a data scientist / data engineer, to support the digital solution team, “Scenarios & Grid studies Solution” (SGS), within the Grid Development (GD) in Clientfor the following tasks (non-exhaustive):

- 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 system

📌 Data engineer service (España)
🏢 Onesource Consulting
📍 España