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Talent Pool - BI Data Engineer Junior/Medior

  • Hybrid
    • Brussels, Brussels, Belgium
  • Trasys International

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

  • 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.

Job requirements

YOUR PROFILE

You have a Bachelor’s degree + 2/5 years of experience

Yoi have a Master’s degree + 5 years of experience / Bachelor’s degree + 7 years of experience

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

  • 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.

  • NICE TO HAVE:

    • Microsoft Data Analyst Associate

    • Microsoft Azure Data Engineer Associate

    • Amazon Certified Data Analytics Specialty

or

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