ENVIRONMENT: YOUR passion for leading teams, driving Business Intelligence & Microsoft Fabric expertise is sought to fill the role of a MS Fabric Data Engineer wanted by a provider of tailored Financial Solutions. You will lead the initial phases of a warehouse rework project and support the ongoing expansion of a newly created data warehouse within the Microsoft Fabric platform. You will also build and lead a Data team, playing a critical role in designing, implementing, and maintaining data pipelines and ensuring high-quality data movement. The ideal candidate must preferably have Azure Data Engineer Associate or Fabric Analytics Engineer Associate/Data Engineer Associate Certifications with 5 years’ experience working with complimentary Azure Data Technologies – Azure Synapse, Azure Data Factory, Azure Databricks, Azure SQL, etc. You also need proficiency with T-SQL, ETL/ELT tools, PySpark and Spark SQL & proven experience in using Pipelines, Lake House and Warehouse capabilities of the Microsoft Fabric platform. DUTIES: Maintain and update existing reports and dashboards in Power BI to reflect evolving business requirements. Assist with data extractions and execute defined SQL queries. Perform data validation and reconciliations between reporting layers. Work closely with the Analytics and Engineering teams to resolve data discrepancies. Support documentation of reports, dashboards, and data definitions. Participate in data testing and user feedback processes. Lead the design, development, and maintenance of scalable data pipelines and infrastructure within Microsoft Fabric. Architect and optimize the data warehouse within the Microsoft Fabric platform. Oversee data ingestion, transformation, and integration processes to ensure efficient data workflows. Implement and maintain ETL/ELT processes, data governance, and security best practices. Work closely with the Analyst and business stakeholders to translate requirements into technical solutions. Develop the data model to be implemented to achieve the business’ analytics objectives. Ensure data quality, reliability, and performance across all pipelines. Build and lead a Data team, initially managing the existing Analyst and gradually hiring additional Engineers and Analysts as needed. Provide mentorship, training, and career development opportunities for team members. Stay updated on emerging technologies in data engineering, analytics, and Microsoft Fabric advancements. REQUIREMENTS: Preferred Qualifications – One of the following Microsoft Certifications: Azure Data Engineer Associate (DP-203) Fabric Analytics Engineer Associate (DP-600) Fabric Data Engineer Associate (DP-700) Experience/Skills – 5 Years’ experience working with complimentary Azure Data Technologies – Azure Synapse, Azure Data Factory, Azure Databricks, Azure SQL, etc. Designing and developing Star Schema based data models. Designing and implementing analytics solutions using data warehouses and data lakes. Hands-on experience with ETL/ELT tools, data modelling (star schema), and performance optimization. Understanding of data governance, security, and compliance best practices. Proven experience in using Pipelines, Lake House and Warehouse capabilities of the Microsoft Fabric platform. Strong, proven experience in developing Semantic Models (datasets) in Power BI. Proficiency in T-SQL in SQL Server (On-premises or Cloud) using Stored Procedures and Functions. Proficiency in PySpark and Spark SQL within notebooks on the Microsoft Fabric Platform or Azure Databricks for data transformation and processing. Experience with use of Azure DevOps and GitHub for CI/CD deployments and use of Power BI Deployment Pipelines. Leadership & Business Skills – Experience leading and managing a Data team, with a track record of hiring and mentoring data professionals. Strong ability to translate business requirements into technical solutions. Excellent communication skills to engage with stakeholders across business and technical teams. Experience in Project Management, Agile methodologies, and process automation. Advantageous – Experience with Machine Learning models or AI-driven analytics. Background in Financial Services, Sales Optimization, or Regulatory Reporting. Experience with Premium or Embedded.
