Lead Data Engineer

Lloyds Banking Group

City of Edinburgh

Hybrid

GBP 90,000 - 135,000

Full time

15 hours ago

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Benefits offered by this job

Pension up to 15%

Annual bonus

Share schemes

Discounts on shopping

30 days' holiday

Wellbeing initiatives

Parental leave policies

Job summary

Lloyds Banking Group is seeking a Lead Data Engineer to shape the lab's data engineering capability and deliver production-grade data foundations for AI/analytics. You will own data pipelines and embed secure-by-design principles across a complex enterprise environment.

This senior role combines technical leadership with mentorship, defining the strategy and roadmap while partnering with Security, Cloud, Architecture and Product teams. Hybrid work model with multiple UK office sites.

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.

Responsibilities

Define and drive the data engineering strategy and roadmap for the lab.
Own scalable data pipelines and secure-by-design data foundations for AI and analytics.
Mentor engineers and build a high-performing engineering culture across teams.
Collaborate with Security, Cloud, Architecture and Product teams to deliver outcomes.

Skills

Lead data engineering

Data platforms design

Cloud experience

Mentoring engineers

Security-conscious design

Observability

Tools

CI/CD

Version control

Data pipelines orchestration

Job description

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 it

What 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 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.

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need.

We also offer a wide-ranging benefits package, which includes…