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Power BI System Engineer

The Position:

Join Boehringer Ingelheim's IT Enterprise Data Platform (IT EDP) team as a Power BI System Engineer and play a key role in operating, governing, and continuously enhancing our global Business Intelligence platform. 
The role ensures a secure, scalable, and compliant Business Intelligence ecosystem supporting global business domains, enabling trusted, governed self-service analytics and data-driven decision making.

 
Duties & Responsibilities:

In this role, you will

  • Administer and govern the enterprise Power BI tenant aligned with IT EDP standards.
  • Provide support and incident management; lead root-cause analysis and continuous improvement initiatives.
  • Assist users if they need consulting advice to build their own reports.
  • Organize and support activities related to the Power BI Community.
  • Manage capacities (Fabric), performance tuning, cost optimization, and workload balancing.
  • Implement and monitor security and compliance (Azure AD integration, RLS/OLS/CLS, data sensitivity, GDPR compliance).
  • Oversee integration with enterprise data platform (Dataland).
  • Maintain platform documentation, standards, and knowledge base.

 
Requirements:

  • Extensive experience administering Power BI at enterprise scale.
  • Hands-on experience with Microsoft Fabric ecosystem.
  • Strong communication skills, stakeholder engagement, and troubleshooting.
  • Deep understanding of security, governance, and compliance in regulated environments (e.g., pharma).
  • Experience with automation using REST APIs, and Software-as-a-Service concepts.
  • Solid understanding of data modeling, semantic layers, and analytics patterns.
  • Expertise with SQL and familiarity with Python, or Spark.

Nice-to-have Qualifications:

  • Experience in large, global organizations with distributed data ownership.
  • Microsoft certifications (PL-300, DP-600).
  • Experience with monitoring tools and observability practices.

Key Competencies:

  • Enterprise mindset and governance orientation.
  • Strong collaboration across IT and business domains.
  • Analytical and structured problem solving.
  • Proactive continuous improvement mindset.
  • Ability to balance standardization with flexibility.

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