Head of Data
Our longstanding financial services client is currently hiring a
Head of Data 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 clients Data Board, define the data strategy, and drive the roadmap that underpins innovation across the business as our client continues their journey into Azure Cloud Services.
To be successful, you will have recent experience owning & delivering an
Azure-based data platforms
(Databricks, streaming device data, Smart Data, ERP systems) coupled with hands on capabilites implementing robust data ingestions pipelines (ETL/ELT) and introduced even-driven architecture (Kafka) to enable scalable, real-time solutions.
Our client is offering a basic salary between £120,000 to £140, % bonus / LTIP + Car + Benefits to be based in Wolverhampton or Chatham on a hybrid basis.
Role responsibilities:
1. Lead and develop a high-performing Data Engineering team, setting vision, priorities, and standards.
2. Oversee the design, build, and optimisation of data pipelines, ingestion, processing, and storage solutions.
3. Embed best practice in governance, documentation, and lifecycle management across the function.
4. Collaborate with IT, architecture, and business teams to ensure secure, scalable cloud configurations.
5. Champion innovation, exploring new tools, technologies, and methods to enhance capability and efficiency.
Core technical requirements:
1. Management & Leadership experience of Data Engineering function comprised of SQL and Azure engineers (circa 40) is a must have.
2. Demonstrable industry experience of a regulated environment (financial services is preferred) is a must have.
3. Extensive experience in large complex data engineering projects, designing and developing ETL pipelines is a must have.
4. Strong experience in data migration techniques from SQL server estate into Azure cloud services is a must have.
5. Awareness of Kafka, Synapse and Databricks is must have