We are looking for a highly skilled and experienced Data Engineer with a strong background in Microsoft Fabric. If you have a passion for data transformation, analytics, and modern data estate management, we want to hear from you! Join our team and help drive our data strategy forward with cutting-edge technology and innovative solutions. ⭕ Key Responsibilities: ✔ Microsoft Fabric Expertise: Understand and implement Microsoft Fabric architecture, components, and migration strategies. ✔ Data Estate Modernization: Lead data transformation journeys and business analytics projects on new and existing data lakes, leveraging tools like CSU Migration Factory. ✔ Azure Synapse Analytics: Integrate and migrate Azure Synapse Analytics to Microsoft Fabric. ✔ Data Engineering: Design and manage data engineering pipelines, lakehouse architecture, and Power BI analytics/reporting. ✔ Spark and Data Pipelines: Develop and manage Spark job definitions, data pipeline items, and lakehouse notebook environments. ✔ Collaboration: Work closely with various teams and communicate complex technical concepts to non-technical stakeholders. ✔ Problem-Solving: Address data duplication and redundancy issues, and generate insights using Fabric Copilot. ✔ Project Management: Oversee data strategy platforms and analytics projects, focusing on delivering AI-ready solutions. ⭕ Requirements: ✔ Proven experience with Microsoft Fabric, including its architecture, components, and migration strategies. ✔In-depth knowledge of data transformation journeys and business analytics on data lakes. ✔Proficiency with Azure Synapse Analytics and its integration/migration to Microsoft Fabric. ✔Strong data engineering skills, including experience with data pipelines, lakehouse architecture, and Power BI. ✔Expertise in Spark job definitions and data pipeline management. Excellent collaboration and communication skills. ✔Demonstrated ability to solve data-related problems and create actionable insights. ✔Experience managing data strategy platforms and analytics projects. ▫100% Remote ▫English required