Job Title: Data & Platform Engineer
Location: Brussels
Start Date: 13/07/2026
End Date: 30/04/2027
Languages Required: English
Responsibilities:
Platform Engineering:
- Develop and maintain the Data Science & AI platform, enabling experimentation, deployment, and monitoring of ML workloads.
- Integrate best practices in MLOps, CI/CD for data products, and scalable infrastructure.
Data Ingestion & Transformation:
- Build and optimize data ingestion pipelines, ensuring reliability, quality, and security.
- Develop transformations and data models supporting analytics and advanced use cases.
- Collaborate with data scientists to productionize and operationalize features and datasets.
Collaboration & Enablement:
- Work closely with Data Scientists, Analysts, and Architects to enable high-quality, reusable data assets.
- Ensure platform usability, documentation, and continuous improvement.
Conformity Criteria:
- 3 years or more of experience in data and platform engineering.
- Proven expertise in cloud services for industrialized data analytics projects.
- Proven expertise in Databricks (core runtime, jobs, workflows, Delta Lake).
- Proven experience with Infrastructure-as-Code (Terraform preferred).
- Fluent in English.
- Availability to come to the office on Tuesday and Thursday.
Evaluation Criteria:
- PySpark and Python skills.
- Level of experience in setting up AI and Data Science platforms.
- Communication skills.
- Knowledge of:
- Python
- SQL
- Git, CI/CD
- Cloud platforms (Azure is an asset)
- Containerization principles (Docker/K8s)