Data Engineer
Role details
Job location
Tech stack
Job description
- An attractive salary with extralegal benefits, including:
- Mobility budget or a company car with fuel/charging card
- Hospitalization and group insurance
- High-end laptop
- Smartphone with subscription
- Substantial amount of holidays
- Meal vouchers
- ...
- Diverse and welcoming work environment, where you'll collaborate & unwind with colleagues from different cultures and disciplines. The organization of both fun & professional events and initiatives is actively encouraged and supported.
- A training budget for individual and team learning opportunities.
- Tons of team-building events and sports initiatives to stay connected and unwind.
Where you'll work
Our main offices are in Leuven and Ghent, with co-working spaces in Charleroi and Antwerp. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events. While much of your work can be performed remotely, you will also work on-site with clients.
Requirements
-
Proven Leadership in Data Engineering: You are a master at designing high- performance data platforms and architectures.
-
End-to-End Pipeline Expertise: You can create complex ELT data pipelines-both batch and streaming-with tools like Airflow, Prefect, or Dagster.
-
Strong Software Engineering Foundations: Proficient with Git, Python, SQL, and Docker, you write clean, maintainable code.
-
Cloud Engineering Mastery: You have hands-on experience with Terraform and are skilled in building scalable, cloud-based infrastructures.
-
Hands-on Experience with Data Platforms: You are proficient with platforms like Databricks, Snowflake, Azure Data Services, or AWS Data Services. Nice-to-Have
-
Experience with Spark for data processing.
-
Expertise in data quality tooling and metadata management.
-
Familiarity with dbt and advanced data modeling.
-
Proficiency in container orchestration using Kubernetes and Helm.
-
Knowledge of secure, private networking in cloud environments.