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Data Engineer BI Expert

BrusselsOn site40 hours/week<3months

For a public sector organization.

  • Further development of a central analytical data platform.
  • Combines backend data engineering with the development of semantic models and reporting.
  • Goal: enable users to efficiently gain insights from complex datasets.

What you do

  • Develop, maintain, and optimize data pipelines.
  • Design and implement ETL processes for processing and transforming data.
  • Model and structure data within a modern data platform.
  • Develop semantic models to support reporting and analysis.
  • Build and maintain Power BI reports and dashboards.
  • Integrate data from various sources via APIs and other data systems.
  • Monitor data quality, data governance, and security guidelines.
  • Collaborate with business and IT stakeholders within an Agile environment.
  • Contribute to the further architecture and evolution of the data and reporting platform.

What they ask

  • Minimum 5 years of experience as a Data Engineer.
  • Minimum 5 years of experience with developing and maintaining data pipelines.
  • Experience with programming languages such as Python, Java, and/or Scala for data streams and ETL processes.
  • Minimum 5 years of experience with developing Power BI reports and dashboards.
  • Excellent knowledge of Dutch (CEFR C2).
  • Basic knowledge of Agile work methodologies.
  • Experience with ETL processes and databases.
  • Experience with dbt or analytics-engineering concepts.
  • Minimum 5 years of experience with Git and versioning workflows.
  • Experience with Microsoft Fabric or Azure Data solutions.
  • Minimum 5 years of experience with REST APIs.
  • Knowledge of data quality, data governance, and security principles.

Preferences.

  • Experience with Microsoft Purview or other data catalogs.
  • Experience with multi-tenant or domain-driven data platforms.
  • Experience within a government environment.
  • Knowledge of infrastructure, patrimony, or asset data.
  • Strong knowledge of SQL and data warehouse modeling, including star schemas, dimensions, and data architectures.

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