Job Description

Medior Data Engineer (Dutch Speaking)

Location: Mechelen, Belgium (Hybrid)
Contract Duration: 1 July 2026 – 30 June 2027
Workload: Full-time (100%)
Remote Work: Hybrid working available

About the Opportunity

We are looking for an experienced Medior Data Engineer to join the ICT & Data Architecture Department, specifically within the Data & Analytics Architecture team.

This role combines 60% Data Engineering and 40% Data Analysis & Advanced Analytics, making it ideal for a professional who enjoys working across the full data lifecycle—from building robust data pipelines to delivering meaningful business insights.

As part of an innovative initiative supporting De Lijn's transition to a new electric vehicle fleet, you will help unlock, integrate, and normalize large volumes of technical vehicle data. You will work closely with a collaborative project team consisting of a Data Scientist, two Data Engineers/Data Analysts, and a Product Owner.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines.
• Build and optimize data integration processes.
• Develop end-to-end data solutions for advanced analytics.
• Work with Azure cloud services to process and manage large datasets.
• Analyze complex datasets and provide actionable insights.
• Collaborate with cross-functional teams to ensure data quality and reliability.
• Take full ownership of assigned projects from design through implementation.

Required Skills & Experience

Must-Have

• Minimum 4 years of experience as a Data Engineer.
• Experience within the public transport sector.
• At least 4 years of experience building ETL pipelines and data integration solutions.
• Hands-on experience with Azure technologies, including:
  • Azure Batch
  • Apache Airflow
  • Azure Functions
  • Event Hub
• Minimum 3 years of experience with the relevant technology stack or similar technologies.
• Fluent Dutch language skills ( CEFR C2 level).

Nice to Have

• Experience with CI/CD pipelines and Git.
• Experience with monitoring tools such as Grafana and Azure Log Analytics.
• At least 4 years of experience with Python (PySpark).
• Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or equivalent practical experience.

What You'll Work On

We are investing heavily in the future of sustainable public transportation through the deployment of a new electric fleet. This transformation creates exciting data engineering challenges involving the collection, standardization, and analysis of complex technical vehicle data.

You will play a key role in building the data platform that supports this strategic initiative.

Interested?

If you have the required experience and are looking for an exciting opportunity to work on large-scale data projects within a leading public transport organization, we'd love to hear from you.

Application Closing Date: 10 June 2026