Lead Data Engineer

Lloyds Banking Group
Bristol, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 109K

Job location

Bristol, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Automation of Tests
Azure
Cloud Computing
Continuous Integration
Information Engineering
Machine Learning
Metadata
Cloud Services
Data Streaming
Google Cloud Platform
Feature Engineering
Generative AI
Data Management
Machine Learning Operations
Virtual Agents
Software Version Control
Data Pipelines

Job description

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.

Requirements

  • 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

Benefits & conditions

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…

  • A generous pension contribution of up to 15%
  • An 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
  • A range of wellbeing initiatives and generous parental leave policies

About the company

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.

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