2 of 2 Head of Engineering Jobs in Wolverhampton

Head of Data Engineering Our longstanding financial services client is currently hiring a Head of Data Engineering to lead a high-performing Data Engineering function overseeing the delivery and optimisation of two enterprise-scale data platforms on Azure. With a blend of technical leadership and strategic vision, you'll chair our … LTIP + 7.5k car allowance + additional benefits to be based in Wolverhampton or Chatham on a hybrid basis. Role responsibilities: Lead and develop a high-performing Data Engineering team, setting vision, priorities, and standards. Oversee the design, build, and optimisation of data pipelines, ingestion, processing, and storage solutions. Embed best practice in governance, documentation, and lifecycle management … architecture, and business teams to ensure secure, scalable cloud configurations. Champion innovation, exploring new tools, technologies, and methods to enhance capability and efficiency. Core technical requirements: Management & Leadership experience of Data Engineering function comprised of SQL and Azure engineers (circa 40) is a must have. Recent experience of implementation of Event driven architecture on Kafka More ❯

Head of Data Engineering Our long-standing financial services client is seeking a Head of Data Engineering to lead a high-performing team responsible for delivering a complex data transformation.Looking for a true greenfield challenge? This is your chance to shape a transformation from the ground up, build cutting-edge data solutions, and lead … technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a competitive salary of £120,000–£140,000 , plus 40% bonus , 40% LTIP , £7.5k car allowance , and a comprehensive benefits package. The role is hybrid , based in Wolverhampton or Chatham . Key Responsibilities … Lead, develop, and inspire a high-performing Data Engineering team, setting the vision, priorities, and best practices. Oversee the design, build, and optimisation of data ingestion, processing, and storage pipelines. Embed strong governance, documentation, and lifecycle management standards across the function. Partner with IT, architecture, and business stakeholders to ensure secure, scalable cloud configurations. Champion innovation, exploring new More ❯