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# Head of Data Engineering

- **Company:** Allianz
- **Location:** Guildford, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Continuous Integration, Information Engineering, Data Governance, Oracle (Applications), Cloud Services, DataOps, SAS (Software), Large Language Models, Legacy Systems, Databricks
- **Published:** June 14, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=a8c1a639ccf54ce7

## About the Role

Do you have experience in SAS?, * 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

## Description

* 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


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