At a Glance
- Tasks: Lead the data engineering team to build secure, scalable data platforms and AI capabilities.
- Company: Join Lloyds Banking Group, a leader in transforming customer security through innovative technology.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
- Other info: Be part of a diverse team committed to creating an inclusive workplace.
- Why this job: Make a real impact in security and AI while mentoring the next generation of engineers.
- Qualifications: Proven leadership in data engineering with experience in cloud-native platforms and best practices.
The predicted salary is between 92701 - 109060 £ per year.
Salary: £92,701 - £109,060
Location: Edinburgh, Leeds, Manchester, Bristol
Hours: Full time (35 hours)
Working Pattern: Hybrid – at least two days per week (40%) at one of our office sites.
End Date: Wednesday 29 July 2026.
Responsibilities
At Lloyds Banking Group we are transforming how we protect our customers, colleagues and services. The Security Data and AI lab within the Chief Security Office is at the forefront of this transformation – engineering data platforms and AI‑driven capabilities that enable intelligent, proactive defence. We are looking for a Lead Data Engineer to shape and lead the lab’s data engineering capability. This senior role combines deep technical expertise with leadership, influencing direction and delivering high‑impact outcomes across a complex enterprise environment. You will operate at the intersection of data engineering, security and AI, defining and driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure‑by‑design principles, enabling production‑grade data foundations for AI, machine learning and advanced analytics. You will partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high‑performing engineering culture.
Qualifications
- Proven experience leading technical delivery and mentoring engineers in a senior or lead capacity
- Strong experience designing, building and operating scalable data platforms and pipelines in complex environments
- Experience with cloud‑native data platforms across Azure, AWS, GCP or similar enterprise environments
- Deep understanding of data modelling, data quality, metadata, lineage and governance principles
- Ability to make pragmatic, risk‑aware technical decisions balancing resilience, pace and long‑term maintainability
- Experience embedding engineering best practices such as CI/CD, automated testing, observability and version control
- Strong collaboration skills, working across engineering, security, data science and product teams
Nice to Have
- Exposure to MLOps or SMLOps tooling and model lifecycle management
- Experience supporting AI/ML pipelines, feature engineering or analytics platforms
- Knowledge of AI governance and secure adoption of generative or agentic AI
- Experience working in security‑focused or regulated environments
- Familiarity with event‑driven or streaming data architectures
Benefits
- Generous pension contribution up to 15%
- Annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days holiday, with bank holidays on top
- Range of wellbeing initiatives and generous parental leave policies
Disability and Diversity Statement
We are committed to creating an environment where everyone can thrive, learn and develop. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long‑term health or neurodivergent condition, through the Disability Confident Scheme.
