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DigitalService GmbH des Bundes

Analytics Platform Engineer

Data Engineering +1Updated on Nov 13
Full-timeBerlin, Germany

About the Job

Requirements

  • Have substantial experience with data-lakehouse architectures, ideally Microsoft Fabric or Azure Synapse / Azure Data Factory, and building robust star schemas.
  • Have a very good understanding of business intelligence tools, especially Power BI.
  • Have very good knowledge of SQL and Python or PySpark for data transformations, as well as deep development experience in Power BI, DAX, and Power Query.
  • Be able to collaborate directly with Controlling and Finance and translate business requirements into logical reporting structures.
  • Be familiar with CI/CD processes, automated data quality, and access-control concepts such as row-level security.
  • Work independently and in a highly organized way to maintain existing data flows and prioritize tasks.
  • Communicate confidently in German at C1 level and in English.

Responsibilities

  • Operate, optimize, and extend the central data platform based on Microsoft Fabric, ensuring stable operation.
  • Develop new ETL/ELT pipelines, dashboards, and notebooks based on the lakehouse architecture.
  • Monitor capacity, costs, and performance.
  • Build performant, reusable semantic data models in collaboration with Controlling and other internal stakeholders.
  • Design and maintain intuitive Power BI dashboards and implement practical access and permission management for a secure reporting environment.
  • Connect APIs and assign access rights in compliance with internal data-protection and compliance standards, including GDPR.
  • Use practices such as Git integration in Microsoft Fabric and establish automated data-quality checks to identify issues before they reach end-user reports; avoid manual, untraceable changes.
  • Work closely with Controlling and Finance and the Leadership Team, advising them and building precise data products for strategic decisions.

Desired Qualifications

  • Experience with Microsoft Fabric or Azure Synapse / Azure Data Factory is preferred.

About the Company

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