Description:
Allianz UK is seeking a Head of Data Engineering to play a pivotal role in shaping how data platforms and engineering capabilities enable decision‑making across the organisation.
You will lead and evolve Allianz’s Data Engineering capability, driving large-scale transformation to modern, cloud-first platforms while delivering high-quality, business-critical data solutions. This is a strategic leadership role with significant influence across our UK business and data strategy.
Location: This role can be based in London, Guildford or Bournemouth, with an expectation to attend the office 50% of the time.
Salary Information
Pay is based on experience, skills and location and forms part of a competitive total rewards package.
About You
- You will define and lead the data engineering strategy, aligned to enterprise data, digital and AI ambitions
- You will drive the migration from legacy platforms (e.g. SAS, Oracle) to modern cloud-based environments such as Databricks
- You will build, inspire and lead multi-disciplinary engineering teams across multiple locations
- You will embed agile ways of working, creating outcome-focused, high-performing squads
- You will foster a culture of ownership, accountability, transparency and continuous improvement
- You will partner with senior stakeholders to shape priorities and deliver business value through data
- You will establish delivery frameworks including OKRs, metrics and data SLAs to drive performance and visibility
- You will ensure engineering excellence through adoption of modern practices such as DataOps, CI/CD and automation
Essential Skills
- Strong leadership experience within data engineering, including large-scale transformation programmes
- Deep expertise in cloud data platforms, lakehouse architectures, and modern data engineering practices
- Proven ability to lead and scale engineering teams across multiple locations and disciplines
- Experience embedding agile methodologies and product-centric delivery models
- Experience migrating from legacy technologies to modern cloud-native platforms
- Strong stakeholder management and ability to influence at senior/executive level
- Knowledge of data governance, security, and regulatory requirements within a regulated environment
- Excellent communication skills, able to translate technical concepts into business value
Desirable Skills
- Experience within insurance or regulated financial services environments
- Familiarity with Databricks and AI-augmented engineering tooling (e.g. Copilot, LLMs)
- Exposure to regulatory frameworks such as Solvency II or IFRS 17
- Responsible Artificial Intelligence usage