Lead Data Engineer

End Date Wednesday 16 September 2026

Salary Range
92,We support flexible working –  for more information on flexible working options

Flexible Working Options Hybrid Working, Job Share

Job Description Summary .

Job Description

JOB TITLE:

Lead Data Engineer SALARY: 92,

LOCATION:

Edinburgh, Leeds, Manchester, Bristol

HOURS:

Full time (35 hours)
WORKING PATTERN:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

What you’ll be doing …At Lloyds Banking Group, we are transforming how we protect our customers, colleagues and services in an increasingly sophisticated threat landscape. 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're looking for a Lead Data Engineer to shape and lead the lab’s data engineering capability. This is a senior role combining deep technical expertise with leadership, influencing direction and delivering high-impact outcomes across a complex enterprise environment. You’ll 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, and enabling production-grade data foundations for AI, machine learning and advanced analytics.

You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing engineering culture.

Why Join us?

If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found itWhat we’re looking for?

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

And it would be great if you had any of the following...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

This is a place for you…Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability…