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.