Senior Data Engineer

We're looking for a Senior Data Engineer to help build and scale the data foundations behind a fast-growing digital and innovation environment. You'll work in a modern hybrid setup with data coming from sensors, drones, geospatial sources, and analytical platforms. Your work directly enables advanced analytics, AI use cases, and real-time insights for mission-critical operations.

This role suits someone who enjoys designing robust data pipelines, deploying ML models, and shaping a high-quality data ecosystem that is reliable, scalable, and production-ready.

What you'll do

• Design and build end-to-end data pipelines and ETL flows for diverse structured and unstructured data sources.
• Develop performant data processing in
  Python
  and
  (Py)Spark
  .
• Bring
  AI/ML models
  into production together with data scientists.
• Work in a hybrid on-prem/cloud environment and implement containerized solutions (Docker, Kubernetes).
• Deliver clean, maintainable, production-ready code with clear documentation.
• Set up monitoring, logging and lineage using modern tooling (Airflow, OpenLineage, Fluentd, Marquez, Collibra).
• Support unit, performance, and system testing for data workflows.
• Maintain metadata and ensure strong governance around datasets and pipelines.
• Collaborate closely with innovation, data and engineering teams to continuously improve data quality and architecture.

What are we looking for?

• 5+ years experience as a Data Engineer
  in complex data environments.
• Strong knowledge of
  Python
  ,
  (Py)Spark
  , and distributed processing.
• Experience putting
  AI/ML models
  into production and automating data processes.
• Experience working with
  PostgreSQL / pgvector
  and other relational or vector databases.
• Hands-on experience with
  monitoring / logging / lineage
  tools (Airflow, OpenLineage, Fluentd, Marquez, Collibra).
• Experience with
  containerized solutions
  (Docker, Kubernetes).
• Experience building scalable
  REST APIs
  in Python (FastAPI, Flask).
• Strong problem-solving mindset, able to help build scalable and sustainable data solutions.
• Experience with
  cloud platforms
  (AWS, Azure, GCP).
• Experience in
  Agile/DevOps
  teams and version control (Git).
• Solid knowledge of databases, data structures, and ETL concepts.
• Native-level
  Dutch (C2)
  .

What do we offer?

Location: Brussels (hybrid, min. 1 day/week on-site)

Contract: Freelance or Permanent

Duration: 05/01/ /07/2026