Engineering Lead

Reposted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
90K-169K Annually
Senior level
Fintech • Software • Financial Services
The Role
Lead and grow high-performing data and software engineering teams to deliver scalable, secure GCP-based data platforms and ETL/ELT pipelines for prudential calculations and regulatory reporting. Drive engineering standards (CI/CD, testing, code quality), embed data governance, partner with DevOps/QA/Security/Product, and modernise legacy analytics into cloud-native solutions.
Summary Generated by Built In

End Date

Monday 02 March 2026

Salary Range

£92,701 - £169,043

We support flexible working – click here for more information on flexible working options

Flexible Working Options

Hybrid Working, Job Share

Job 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.

Top Skills

Python,Google Cloud Platform (Gcp),Airflow,Cloud Composer,Git,Github,Ci/Cd,Automated Testing,Etl/Elt,Bigquery,Gke,Kubernetes,Cloud Storage,Data Lineage,Data Cataloguing,Observability
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The Company
HQ: London
60,287 Employees

What We Do

Our purpose is Helping Britain Prosper. We do this by creating a more sustainable and inclusive future for people and businesses, shaping finance as a force for good.

We're part of an ever-changing industry and are currently on a journey to shape the financial services of the future, whilst supporting our customers’ changing needs.

The scale and reach of our Group means we can offer a broad range of opportunities to learn, grow and develop. Our values-led culture and approach to inclusion and diversity means we can all make a real difference together.

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