Engineering Lead
at Lloyds Banking Group
Posted 7 days ago
No clicks
- Compensation
- £92,701 – £169,043 GBP
- City
- Edinburgh
- Country
- United Kingdom
Currency: £ (GBP)
Prudential & Analytics (P&A) is on a major transformation journey, investing in data and technology to modernise regulatory reporting, risk analytics, and model-ready data on Google Cloud Platform (GCP). This role is a hands-on engineering lead at the intersection of data and software, setting engineering standards and guiding teams to deliver secure, compliant data products in a regulated UK banking environment. You will lead high-performing teams, drive CI/CD and code quality, and design scalable ETL/ELT pipelines and data platforms on GCP while partnering with DevOps, QA, Security and Product to modernise legacy analytics. Hybrid working in Leeds or Edinburgh, with a focus on growing engineering capability and delivering at scale.
End Date
Monday 02 March 2026Salary Range
£92,701 - £169,043We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job ShareJob Description Summary
.Job Description
JOB TITLE: Engineering Lead
SALARY: £90,440 - £106,000
LOCATION(S): Leeds or Edinburgh
HOURS: Full time
WORKING PATTERN: Hybrid, 40% (or two days) in the above office location
About this opportunity
Prudential & Analytics (P&A) is on a major transformation journey, investing in people, data, and technology to modernise regulatory reporting, risk analytics, and model‑ready data. We’re moving from legacy platforms to scalable, resilient services on Google Cloud Platform (GCP)!
This role offers the chance to lead regulatory and technology change—setting engineering standards and guiding teams to deliver secure, compliant, and cost‑effective data products in a regulated UK banking environment!
We’re looking for a hands‑on engineering leader who sits at the intersection of data and software engineering, enjoys solving complex problems, and inspires teams to do their best work.
The impact you’ll have:
Lead high‑performing teams: Build psychologically safe teams with strong engineering standards and ownership.
Deliver at scale: Ship reliable services for prudential calculations and regulatory reporting.
Set engineering excellence: Drive CI/CD, testing, code quality, and secure, observable architectures.
Design and run data platforms: Own canonical data models and scalable ETL/ELT pipelines on GCP.
Modernise and enable: Embed governance, modernise legacy analytics safely, and grow engineering capability through coaching.
About us
If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.
What you’ll need
Drive engineering decisions across modern cloud engineering stack.
Embed CI/CD and quality gates and champion data engineering excellence.
Partner across DevOps, QA, Security and Product.
Proven data engineering experience including designing data models, normalisation, and entity relationship for analytics at scale.
Hands-on building ETL/ELT pipelines and orchestrations (ideally Airflow/Cloud Composer) on GCP.
Strong software engineering fundamentals: version control (Git/GitHub), PR discipline, code reviews, automated testing (unit/integration), and CI/CD.
Proficiency in Python for data engineering and service development; writing clean, efficient, well-structured code.
Practical data governance mindset: access controls, lineage, cataloguing, and data quality embedded into delivery.
Experience in a regulated environment (banking/financial services ideal) and familiarity with prudential/regulatory data needs (e.g., Basel III, CRD IV).
People leadership: coaching engineers, setting standards, aligning teams around outcomes, and creating momentum.
Nice-to-haves
Experience with GKE/Kubernetes (containerising and operating services) and Cloud Storage patterns.
Product knowledge within Retail / Commercial bank and the products / tooling in place currently to allow for discussions on architecture design and migration of data
Experience with AI‑enabled software development and engineering
Familiarity with data product thinking (domains, contracts, SLAs/SLOs).
Observability for data systems (e.g., metrics, alerting, lineage, anomaly detection).
Performance tuning in BigQuery (partitioning, clustering, materialized views).
Experience modernising legacy analytics codebases into cloud-native pipelines.
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 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
Want to do amazing work, that’s interesting and makes a difference to millions of people? Join our journey.
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.
