Data & AI Engineer (Microsoft Fabric)

Summary: This entry-level role plays a vital part in building a trusted, governed data foundation that fuels AI-driven solutions across the organization. As a key contributor to cross-functional squads, the individual will design and maintain scalable data pipelines using Microsoft Fabric and OneLake, ensuring high-quality data is ready for Retrieval-Augmented Generation (RAG) use cases. The role includes creating Power BI dashboards to monitor solution performance, adoption, and impact, while upholding data quality and governance standards through Microsoft Purview. The incumbent will also support secure, compliant handling of customer data across engagements, contributing to the reliability and scalability of enterprise AI initiatives. This is a foundational position ideal for early-career professionals eager to drive data excellence in innovative, high-impact environments. Responsibilities: Design, develop, and maintain data pipelines in Microsoft Fabric and OneLake for scalable data foundations. Prepare and curate high-quality data for Retrieval-Augmented Generation (RAG) workflows. Build and maintain Power BI dashboards to track solution impact, usage, and adoption metrics. Support data quality and governance practices using Microsoft Purview. Assist in secure integration of customer data across teams, ensuring compliance and data protection. Collaborate with cross-functional teams to ensure data accuracy, consistency, and alignment with business goals.