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A leading technology firm is seeking a Data Engineer with expertise in Microsoft Fabric and Azure Synapse Analytics. This role focuses on migrating data workloads, ensuring data governance, and providing technical leadership. Ideal candidates will possess strong ETL/ELT experience and critical thinking skills. This is an opportunity to lead a vital project aimed at modernising data platforms for enhanced performance and scalability.
We are seeking an experienced Technologist / Data Engineer with deep technical expertise in Microsoft Fabric to lead the migration of data and workloads from Azure Synapse Analytics to Microsoft Fabric. This is a critical short-term engagement for an organisation modernising its data platform to enhance performance, scalability, and integration across the Microsoft ecosystem.
Key Responsibilities
Lead and execute the end-to-end migration of existing data pipelines, datasets, and reporting structures from Azure Synapse Analytics to Microsoft Fabric.
Assess current Synapse workloads and design equivalent or improved architectures using Fabric Lakehouses, Pipelines, and Direct Lake capabilities.
Rebuild or refactor data flows, notebooks, and integration points within the Microsoft Fabric platform.
Collaborate with BI and analytics teams to ensure seamless transition of Power BI datasets and reporting.
Ensure data governance, security, and access control policies are preserved and optimised during migration.
Document architecture, migration procedures, and operational guidelines for handover to internal teams.
Provide technical leadership and mentorship to internal engineering teams during the transition.
Required Skills and Experience
Proven experience with Microsoft Fabric, including Data Factory, Synapse-like capabilities, Lakehouse, and Direct Lake features.
Strong experience with Azure Synapse Analytics (Dedicated SQL Pools, Serverless SQL, Pipelines, Notebooks).
Solid hands-on experience in Data Engineering, including building and managing complex ETL / ELT pipelines.
Proficiency in SQL, Python, and Spark for data transformation.
Familiarity with Power BI, Dataverse, and Microsoft Purview is advantageous.
Understanding of data governance, security, and compliance within Microsoft Azure.
Ability to work independently in a fast-paced environment with minimal supervision.
Preferred Qualifications
Microsoft certifications related to Azure Data Engineering or Microsoft Fabric.
Experience in delivering enterprise-scale cloud data platform migrations.
Strong communication and documentation skills.