At a Glance
- Tasks: Lead data engineering projects and shape innovative AI-driven capabilities.
- Company: Lloyds Banking Group, a leader in security and data transformation.
- Benefits: Generous pension, annual bonus, 30 days holiday, and flexible working options.
- Other info: Diversity-focused workplace with excellent career development opportunities.
- Why this job: Join a dynamic team at the forefront of data security and AI innovation.
- Qualifications: Proven leadership in data engineering and experience with cloud-native platforms.
The predicted salary is between 92701 - 109060 £ per year.
Location: Edinburgh, Leeds, Manchester, Bristol
Salary: £92,701 - £109,060
Hours: Full time (35 hours)
Working Pattern: Hybrid – 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 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 senior role combines 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.
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
Additional Desired Attributes:
- 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:
- 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
Diversity, Equity & Inclusion: 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 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.
Apply Today: Ready for a career where you’ll learn and thrive? Apply today and find out more.
Lead Data Engineer in Wellington employer: LLOYDS BANKING GROUP
Lloyds Banking Group is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work culture that fosters collaboration and innovation. With the flexibility of remote working and opportunities for career advancement within the Economic Crime Prevention function, employees can thrive in a supportive environment while contributing to meaningful compliance efforts. The company's commitment to diversity and inclusion further enhances its appeal, making it a rewarding place to build a career.
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We think this is how you could land Lead Data Engineer in Wellington
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We think you need these skills to ace Lead Data Engineer in Wellington
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
