Senior Power BI and Fabric Developer

About the Role

We are seeking a highly competent Power BI and Microsoft Fabric specialist to join our data team. In this role, you will design, build, and maintain robust data pipelines in Microsoft Fabric, create high-impact Power BI reports and dashboards, and implement best practices for version control and collaboration. You will play a key role in transforming raw data into actionable business insights while ensuring scalable, reliable, and governed data workflows.

Key Responsibilities

• Design, develop, and optimize Power BI reports, dashboards, data models (including semantic models), and visualizations to meet business requirements.
• Build and manage end-to-end data pipelines and flows in Microsoft Fabric (Data Factory experience within Fabric), including ingestion, transformation (using Dataflow Gen2, Notebooks, or Copy activities), orchestration, scheduling, and monitoring.
• Integrate diverse data sources into OneLake and prepare data for analytics consumption (e.g., Lakehouse, Warehouse).
• Implement and troubleshoot automated workflows for data refresh, ETL/ELT processes, and Power BI dataset updates.
• Apply source control strategies using Git integration in Fabric workspaces, including branching, merging, CI/CD practices, and collaboration workflows.
• Ensure data quality, governance, security (e.g., RLS in Power BI), and performance optimization across pipelines and reports.
• Collaborate with stakeholders, data analysts, and engineers to translate business needs into technical solutions.
• Monitor pipeline runs, troubleshoot failures, and implement improvements for reliability and cost-efficiency.

Required Qualifications

• Strong proficiency in Power BI (desktop and service): advanced DAX, data modeling, report design, gateways, row-level security, and Direct Lake mode.
• Expert-level experience with Microsoft Fabric pipelines (Data Factory in Fabric), including building complex flows, activities (Copy, Dataflow Gen2, Notebook execution, etc.), triggers, parameters, and error handling.
• Solid understanding of source control strategies in modern data platforms (Git for Fabric artifacts, branching models, pull requests, versioned deployments).
• Hands-on experience with data integration patterns, ETL/ELT processes, and working in lake-centric environments (OneLake, Delta tables).
• Familiarity with Azure ecosystem concepts (e.g., Azure Data Factory patterns that translate to Fabric, storage, security).
• Strong problem-solving skills and attention to detail in building production-grade solutions.

Preferred Qualifications

• Experience with Fabric-specific features: Notebooks (Spark/PySpark/SQL), Real-Time Intelligence, or deployment pipelines.
• Knowledge of additional tools: Azure DevOps for CI/CD, SQL, Python for transformations.
• Previous experience migrating from or integrating with classic Azure Data Factory (ADF).