Our Customer:
A global enterprise focused on building advanced data and analytics capabilities and scaling a modern cloud-based BI platform based on Microsoft Fabric and Power BI.
Your tasks:
- Act as a technical expert for Power BI and Microsoft Fabric in an enterprise analytics environment.
- Troubleshoot complex issues related to performance, data refresh, semantic models, capacity, and cross-platform integrations (Azure, Databricks, SAP, etc.).
- Design and implement AI-driven accelerators using Microsoft Copilot, prompt engineering, and automation frameworks to reduce development effort and standardize BI delivery through reusable assets.
- Develop and validate Proofs of Concept for new Microsoft Fabric capabilities.
- Optimize semantic models, DAX calculations, Direct Lake performance, and overall reporting efficiency.
- Build and maintain reusable assets such as templates, scripts, and automation toolkits.
- Contribute to CI/CD pipelines, governance practices, and monitoring solutions for BI platforms.
- Translate architectural requirements into scalable technical solutions.
Required experience and skills:
- 8+ years of hands-on experience with Power BI development in enterprise environments.
- Strong expertise in Microsoft Fabric.
- Proven experience applying AI in BI or analytics engineering workflows, including Microsoft Copilot, prompt engineering, and automation frameworks.
- Advanced knowledge of DAX and semantic modeling.
- Strong understanding of Direct Lake, incremental refresh, aggregations, and performance optimization.
- Experience with deployment pipelines, workspace governance, and capacity management.
- Experience integrating with Azure, Databricks, SAP, and other enterprise data platforms.
- Experience delivering technical Proofs of Concept (POCs).
- Strong communication skills and ability to work with stakeholders.
- Upper-intermediate or higher English.
Would be a plus:
- Experience building reusable frameworks or internal BI tooling.
- Background in data engineering or data platform development.
- Experience with CI/CD automation.
- Experience working in large enterprise environments.
- Experience optimizing cloud cost and resource utilization.
Working conditions
5-day working week, 8-hour working day;
Remote work.