Senior Data Engineer

## Responsibilities - Develop, design, and maintain Power BI dashboards, reports, and data visualizations based on business requirements. - Build efficient data models (star schema, semantic models) using Power BI and Microsoft Fabric components. - Work with Microsoft Fabric features such as Lakehouse, Data Engineering pipelines, Dataflows Gen2, and Warehouse where applicable. - Optimize datasets, visuals, DAX queries, and report performance. - Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable reporting solutions. - Ensure data accuracy, governance, and compliance with organizational standards. - Troubleshoot issues related to datasets, refresh failures, permissions, and report performance. - Support the modernization of analytics platforms and the adoption of Microsoft Fabric within the KPMG ecosystem. ## Required Skills & Experience - A minimum of 10 Years of experience as a Data Engineer. - Strong proficiency in: - Power BI Desktop - Power BI Service (Workspaces, Gateways, Deployment Pipelines) - DAX (advanced level) - Power Query (M Language) - Hands on experience in Microsoft Fabric, including at least one of the following: - Lakehouse - Data Engineering / Pipelines - Dataflows Gen2 - Warehouse - Strong understanding of data modeling, relational & dimensional modeling concepts. - Experience working with large datasets and optimizing report performance. - Ability to work independently, communicate clearly, and collaborate with cross-functional teams. ## Preferred Qualifications - Experience with Azure data ecosystem (Azure Data Lake, Synapse, Databricks, ADF). - Background supporting enterprise analytics for finance, audit, or consulting environments. - Familiarity with CI/CD for Power BI and governance best practices.