Senior Power BI and Fabric Developer
Technology & Analytics
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.
- 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.
- 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).
Vacancy posted 5 hours ago
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