Data Engineer – Asset Planning & Databricks

Our client, a leading organization in the utility sector, is looking for an expert to drive the digitalization of their asset budgeting and planning processes. This role focuses on transitioning complex financial models into a centralized data architecture to support long-term technical investment strategies.

Responsibilities

• Lead the digitalization of the budgeting process by integrating legacy data into a central data platform.
• Build a robust base structure in Databricks and migrate existing logic from Excel to a centralized database.
• Implement data tracking solutions such as SCD Type 2 to ensure full traceability of budget changes, decisions, and scenarios.
• Perform data preparation and analysis to support technical and financial multi-year investment plans.
• Collaborate with internal and external stakeholders to provide advice on long-term planning and data-driven decision-making.
• Facilitate data governance by managing interfaces, bulk uploads, and audit trails.
  
  

Requirements

• 5+ years of experience in BI Consulting and data management.
• 5+ years of experience with data modeling and historization strategies.
• 3+ years of experience with data processing and analysis using Databricks, Python, and Power BI.
• Proven experience in ETL workflows and Data Management.
• You possess a strong background in conceptual thinking and performing information analyses.
• You're proactive, analytical, and result-oriented with an ability to maintain a helicopter view.
• You bring excellent communication skills and a collaborative team spirit.
• You are a native speaker of Dutch.
  
  

Nice to Haves

• Experience working with technical assets or in the utility sector.
• Knowledge of audit trails and data governance frameworks.
• Experience with reporting tools and requirements analysis.
• Willingness to develop front-end interfaces on top of Databricks.
  
  

Offer

• Start date: 02/01/2027
• Duration: 6 months (renewable)
• Work regime: Full-time
• Location: Melle
• Working model: Hybrid
• Contract: open to both permanent employees and freelancers