Data Engineer

Summary:

The primary objective of the Data Engineer role is to design and build robust data pipelines, supporting critical business initiatives across the Data Platform, and progress towards a cloud-based solution.

Main Responsibilities:

• Designing, developing, and maintaining data pipelines in collaboration with cross-functional teams.
• Leveraging expertise in Python, SQL, and Git for efficient and scalable data processing.
• Building complex data transformations to meet business and regulatory requirements.
• Continuously optimizing data flows.
• Driving CI/CD best practices within the data engineering domain.

Key Requirements:

• Minimum 2 years of proven experience as a Data Engineer.
• Experience with Data Warehouse concepts (Data Vault 2.0 and Kimball).
• Proven ability to design and implement performant data pipelines handling large data volumes.
• Proficiency in Python and SQL, utilizing Git for version control.
• Strong understanding of CI/CD principles.
• Problem-solving skills and ability to address data-related business challenges.

Nice to Have:

• Experience in the banking sector.
• Familiarity with Snowflake, Azure, or Oracle.
• Power BI experience.
• Exposure to SCRUM/Agile methodologies.
• Experience with Vaultspeed.

Other Details:

• Location: Remote work possible with a preference for candidates in Brussels, Belgium.
• Team Composition: 40 Data Engineers, Data Visualization Experts, Data Analysts, and Project Managers.
• Transition to Cloud: Progressive migration of the Data Platform to a cloud solution.
• Languages: Professional proficiency in English, Dutch or French is a plus.