Head of Data Engineering

Intec Select
Wolverhampton, England
9 months ago
Applications closed

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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 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.


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 tools, technologies, and approaches to enhance capability and efficiency.


Core Requirements

  • Proven leadership experience managing a Data Engineering function of ~40 engineers (SQL and Azure).
  • Recent, hands-on experience implementing event-driven architecture using Kafka (essential).
  • Extensive background in regulated industries (finance or banking preferred).
  • Strong experience in large-scale data engineering projects, designing and developing ETL pipelines and leading cloud migration initiatives.
  • Expertise in data migration from SQL Server to Azure Cloud Services.

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