Lead/Senior Data Engineer Hybrid – Midlands (1-2 days per week in office) Salary: Up to £65k plus bonus Permanent We are partnering with a leading and innovative organisation to help recruit a Senior Data Engineer to join their evolving data team. This role provides a unique opportunity to work with cutting-edge cloud data platforms, supporting the delivery of high-quality, reliable data solutions while contributing to automation and platform enhancements. What You’ll Be Doing As a Senior Data Engineer, you will play a key role in building, optimising, and maintaining cloud-based data solutions. Responsibilities include: Developing and maintaining end-to-end data pipelines using Azure services such as Data Factory, Databricks, Synapse, and Data Lake. Designing and optimising data models, warehouses, and lakehouse architectures to support analytics and reporting requirements. Ensuring data governance, security, and compliance across cloud platforms, implementing access controls, encryption, and monitoring. Monitoring data processes, identifying performance bottlenecks, and delivering improvements to ensure reliable and accurate data availability. Mentoring junior engineers and sharing knowledge through documentation, workshops, and code reviews. What We’re Looking For Strong experience with Azure Databricks (Unity Catalog, DLT, cluster management) and other Azure services (Data Factory, Synapse, Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL). Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns. Previous managerial/mentoring experience and/or operating at a senior/Lead level Excellent communication and problem-solving skills, with the ability to collaborate across teams. If interested, please contact Jacob Ferdinand at Jacob.ferdinand@experis.co.uk