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A leading financial services provider in the United Kingdom is seeking a Head of Data Engineering to shape a transformation from the ground up. This role involves leading a high-performing team to deliver Azure-based data solutions, managing data ingestion pipelines, and ensuring strong governance. The position offers a competitive salary of £120,000–£140,000 plus bonuses and benefits, with a hybrid work model based in Wolverhampton or Chatham.
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 a high-performing team that’s driving change across the business.
To succeed in this role, you’ll bring hands‑on experience owning and delivering Azure‑based data platforms (Databricks, Synapse), alongside strong 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.
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…
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.