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Business Intelligence Expert (m/f/d)

Contract
Brussels, Belgium
07.07.2025
Your main responsibilities include:
 
  • Designing and maintaining Enterprise Data Warehouses (EDW) and complex BI ecosystems, including Data Lakes and Data Lakehouses.
  • Architecting modern, cloud-native or hybrid data solutions to progressively replace legacy systems.
  • Ensuring architectural alignment with data governance frameworks and the organization’s cloud strategy.
  • Defining and implementing robust processes for data quality, auditing, and platform health monitoring.
  • Establishing and enforcing best practices, standards, and compliance rules across data platforms.
  • Providing technical leadership and mentoring to data analysts and engineers.
  • Supporting change management initiatives, particularly during migrations from legacy systems.
  • Producing comprehensive documentation for data architectures, assets, and technical workflows.
  • Assisting in deployment, configuration, and integration of data systems and tools.
  • Collaborating closely with other project teams and stakeholders across the organization.


REQUIRED SKILLS & EXPERIENCE
 
  • Proven experience in migrating legacy data systems to modern, scalable platforms.
  • Deep knowledge of data architecture design, including cloud-native and hybrid environments.
  • Proficiency with business intelligence tools and platforms.
  • Strong expertise in cloud data architecture and data platform scalability.
  • Solid experience with both relational (e.g., PostgreSQL, Oracle) and NoSQL databases (e.g., MongoDB, Elasticsearch).
  • Mastery of ETL/ELT tools and processes (e.g., Spark, Talend, dbt, Fabric, SAP Data Services).
  • Familiarity with orchestration tools (e.g., Apache Airflow, Dagster).
  • Hands-on experience with data governance tools (e.g., DataHub, OpenMetadata, Apache Atlas, Collibra), as well as data quality and security management.
  • Knowledge of DevOps practices applied to data infrastructure (CI/CD pipelines, infrastructure-as-code, automation).
  • Strong communication skills, with the ability to convey complex data concepts to both technical and non-technical audiences.
  • Familiarity with data modelling and design tools.


NON-TECHNICAL SKILLS
 
  • Ability to work effectively in multilingual and multicultural environments.
  • Fluency in both English and French (spoken and written).
  • Strong team player with leadership and conflict-resolution skills.
  • Methodical and rigorous approach to work, with adherence to established standards and naming conventions.
  • Experience in large-scale IT projects and environments.
  • Excellent documentation and reporting capabilities.
  • High level of discretion and professionalism, especially when handling personal and confidential data.

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