Open Source Data Engineer

For a customer in Brussels, we are searching for 2 Data Engineers for a long-term assignment to support extra workload working on their Opensource stack.

Responsibilities
 

• Design, build, and maintain robust data pipelines for batch and analytical workloads.
• Develop data extractions and transformations using Airflow and dbt.
• Implement and manage workflows deployed on Kubernetes/OpenShift, including the deployment and operation of Airflow.
• Work with PostgreSQL for structured data storage and data ingestion.
• Use DuckDB for efficient analytical querying and local data processing.
• Design and manage Delta tables as part of a modern data lakehouse architecture.
• Contribute to finalizing and industrializing the data lakehouse setup in collaboration with Targetfire.
• Ensure data quality, reliability, and observability across pipelines.
• Support downstream analytics and visualization use cases, including integrations with Tableau.
• Document data models, pipelines, and operational procedures.

Profile
 

• Strong knowledge of SQL, including inserting, updating, and transforming data in relational databases.
• Hands-on experience building data pipelines with Airflow.
• Experience with data transformations and modeling, ideally using dbt.
• Solid understanding of relational databases, particularly PostgreSQL.
• Experience working with containerized applications on Kubernetes or OpenShift.
• Familiarity with data lake and lakehouse concepts.
• Ability to write clean, maintainable, and well-documented code.
• Experience with Delta Lake or similar table formats is a bonus.
• Experience with DuckDB or other analytical query engines is a bonus.
• Exposure to Tableau or other BI/visualization tools is a bonus.
• Knowledge of data quality, monitoring, and observability practices.
• Experience working in regulated or mission-critical environments.

Additional Details

SENIORITY: Medior/Senior
START DATE: ASAP (February)
DURATION: 12 Months
EXTENSION: Yes
CONTRACT: Freelance
LOCATION: Brussels
ONSITE POLICY: 2 days per week
HOURS PER WEEK: 40
LANGUAGES: Fluent English
INTERVIEW PROCESS: 1 stage