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.
