Talent Pool - Senior BI Data Engineer
Confidential
Posted: May 12, 2026
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Quick Summary
We are looking for a senior BI Data Engineer to join our team in Brussels, Belgium, and contribute to the development and maintenance of our data lakes and data lakehouses. The ideal candidate will have a strong background in data engineering and a passion for data analytics, with experience working with large-scale data platforms. The successful candidate will be responsible for designing, developing, and deploying data pipelines, and will collaborate with cross-functional teams to drive data-driven business decisions.
Required Skills
Job Description
BI Data Engineer (Data Lakes / Data Lakehouses)
Joining KEYES means giving purpose to your talent.
Are you looking for an environment where technology is not an end in itself, but a lever to build a sustainable future? At KEYES, we are not just looking for technical expertise; we are looking for people who share our values.
Do you want to continue your career and grow within one of Belgium’s leading IT companies?
KEYES supports private and public organizations in Belgium and across Europe in their digital transformation by combining business expertise, technological mastery, and a long-term vision.
We support large enterprises, the public sector, healthcare organizations, and SMEs in all their digital challenges: Infrastructure & Cloud Solutions, Cybersecurity Solutions, Business Software Solutions, Mainframe Solutions, Data & AI Solutions, Advisory Solutions, and Staffing Solutions.
More information: www.keyes.eu
YOUR MISSION
As BI DATA Engineer, your mission will be to design modern Business Intelligence (BI) architectures, focusing on data lakes and data lakehouses. The role involves:
• Designing BI architectures for various environments with a focus on security and compliance.
• Analyzing business requirements for data pipelines and reporting solutions.
• Implementing ETL/ELT processes and data virtualization layers.
• Developing data models, reporting applications, and optimizing database schema.
• Conducting database performance analysis, implementing data quality frameworks, and defining test programs.
• Producing technical documentation and managing BI systems.
• Ensuring data security, optimizing BI platforms, and enabling self-service BI capabilities.