Lead Data Engineer

The Lead Data Engineer will design, deliver and improve the organisation's central data platform. The role combines data architecture, hands-on engineering, line management and technical leadership to provide secure, scalable and trusted data for reporting, analytics and AI. As a Lead Data Engineer, you will: . Design and implement scalable data warehouse and Microsoft Fabric solutions. . Define data architecture standards, design patterns and engineering best practices. . Develop conceptual, logical and physical data models aligned with business requirements. . Design, build and maintain reliable data pipelines and integrations. . Integrate data from databases, APIs, files and third-party platforms. . Set standards for data ingestion, transformation, storage and consumption. . Support data governance, quality, security, lineage and access controls. . Optimise the performance, resilience, storage and cost of the data platform. . Evaluate new technologies and recommend solutions
that meet business needs. . Provide technical leadership, design assurance and mentoring across the data team. . Line manage members of the data team, including objective setting, development, workload planning and performance support.

What you'll need: . Strong experience in data architecture, data engineering or a comparable senior data role. . Experience designing and delivering modern cloud data platforms, ideally using Microsoft Fabric or Azure. . Strong knowledge of SQL, data modelling, warehousing, lakehouse architecture and integration patterns. . Experience with data governance, security, source control and automated deployment practices. . Strong communication, problem-solving and technical leadership skills. . Experience using source control tools such as Git. . Previous line-management experience, with the ability to develop, support and motivate technical team members.