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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?

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

  • 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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