Talent Pool_Senior BI Data Engineer

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?

Join KEYES as a XXX!

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.

YOUR PROFILE

• You have Master’s degree + ≤10 years of experience

• Bachelor’s degree + ≤12 years of experience

• Secondary school diploma + ≤17 years of experience

• Ability to apply rigour and consistency in BI development practices.

• Ability to work in a multi-cultural environment.

• Ability to participate in multilingual meetings.

• Ability to understand, speak, and write English; optionally French as an additional asset.

• Results-oriented mindset, focused on delivering.

Technical knowledge mastered:

• Enterprise data warehouse design

• Data lake and lakehouse design patterns

• Relational and non-relational databases

• SQL

• BI reporting and analytics tools

• ETL and ELT tools

• Modelling tools for data flows

• OLAP technologies and data mining tools

• Near real-time data ingestion and CDC technologies

• Cloud BI architectures

• Data governance and observability practices

NICE TO HAVE:

• Microsoft Data Analyst Associate

• Microsoft Azure Data Engineer Associate

• Amazon Certified Data Analytics Specialty