Job Description
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.
