Data Engineer - Compliance Engineering

End Date Thursday 06 August 2026 Salary Range £36,224 - £38,130 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share

Job Description Summary

This is a full time role based in Edinburgh, Bristol, Leeds or Manchester

Job Description

JOB TITLE: Data Engineer - Compliance Engineering SALARY: £36,224 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday 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.

About this Opportunity

As a Data Engineer you'll focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers.

About the Role

We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous assurance driven by data insights. As a Data Engineer, you'll join a growing engineering team contributing to the development of regulatory security monitoring solutions. This is an excellent opportunity to build your skills at the intersection of security, data and modern engineering practices, working on real-world challenges at enterprise scale.

What You'll Be Doing

Support the development and improvement of regulatory security monitoring and compliance capabilities, helping ensure controls are effective and scalable. Contribute to security telemetry and monitoring solutions (including database activity monitoring) to support detection and regulatory requirements. Assist in developing data ingestion pipelines and monitoring use cases, working with structured and unstructured data sources. Support the automation of control monitoring and evidencing, helping enable continuous compliance. Work closely with engineers and security specialists to deliver reliable and high-quality services. Learn and apply modern engineering practices such as automation, testing and version control. Develop and maintain user documentation to support team collaboration. Continuously develop your knowledge of security, data engineering and compliance tooling.

Why Lloyds Banking Group

We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you.

What you'll need

• A foundational understanding of technology, data or security concepts.
• Interest in security monitoring, logging or compliance.
• A willingness to learn about data pipelines, automation and modern engineering approaches.
• Strong problem-solving skills and a structured approach to learning.
• Good communication skills and the ability to work collaboratively within a team.
• Exposure to scripting or programming (e.g. Python, SQL or similar).

Desirable Skills & Experience

• Awareness of cloud platforms (e.g. AWS, Azure, GCP).
• At least 1 years' experience of working with security concepts or regulatory monitoring controls.
• Exposure to Agile or collaborative ways of working.
• Interest in how automation and AI can be applied to improve security and compliance.

About working for us

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.

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

• A generous pension contribution of up to 15%
• An annual performance-related bonus
• Share schemes including free shares
• Benefits you can adapt to your lifestyle, such as discounted shopping
• 24 days' holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies

Organizational background

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.

Flexible Working Options

For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.