Data Engineer

About the role

We are looking for a Data Engineer to design, build, and maintain robust data pipelines that support critical business initiatives across our Data Platform. The role will contribute to the progressive migration of the platform to a cloud‑based solution while working closely with cross‑functional teams.

Key responsibilities

• Design, develop, and maintain scalable data pipelines using Python, SQL and Git.
• Implement complex data transformations to satisfy business and regulatory requirements.
• Continuously optimise data flows for performance and cost efficiency.
• Apply CI/CD best practices to the data engineering lifecycle.
• Collaborate with data analysts, visualization experts and project managers to deliver end‑to‑end solutions.

Required profile

• Minimum 2 years of proven experience as a Data Engineer.
• Strong knowledge of Data Warehouse concepts such as Data Vault 2.0 and Kimball.
• Experience handling large data volumes with performant pipelines.
• Problem‑solving mindset and ability to address data‑related business challenges.

Required skills

• Python
• SQL
• Git
• CI/CD principles
• Data Vault 2.0
• Kimball methodology
• Snowflake (nice to have)
• Azure (nice to have)
• Oracle (nice to have)
• Power BI (nice to have)
• SCRUM/Agile methodologies
• Vaultspeed (nice to have)

What we offer

• Remote work option with a preference for candidates based in Brussels.
• Opportunity to join a large team of 40 data professionals.
• Involvement in a strategic cloud migration journey.
• Exposure to banking sector data challenges.