Lead Software Engineer

Lead Software Engineer

Edinburgh

Full time

Posted Today

152133

End Date

Sunday 10 May 2026

Salary Range

£92,701 - £169,043

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

Flexible Working Options

Flexibility in when hours are worked, Job Share

Job Description Summary

.

Job Description

JOB TITLE : Lead Software Engineer

SALARY: £92,000 - £108,000

LOCATION(S): Edinburgh or Leeds

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 significant transformation journey, modernising regulatory reporting, risk analytics, and model-ready data through sustained investment in people, data, and cloud technology!

As a Lead Software Engineer , you'll provide hands-on technical leadership to high-performing engineering teams, delivering secure, compliant, and scalable cloud-native data platforms and analytics services on Google Cloud Platform (GCP) . You'll play a key role in modernising legacy analytics and data engineering platforms, setting strong engineering standards, and translating complex prudential risk requirements into robust technical solutions!

You'll deliver data pipelines, analytics data platforms, and regulatory reporting solutions that underpin critical prudential and risk outcomes across the bank.

This role is suited to a technical lead who enjoys working at the intersection of data engineering and software engineering , and who thrives in a regulated UK banking or financial services environment. What you'll do

Translate complex business, risk, and regulatory requirements into practical, high-quality technical solutions.

Own engineering plans and delivery across Agile teams, with accountability for outcomes, quality, and pace.

*Provide technical leadership and influence engineering decisions across a moderncloud-native data and software engineering stack on GCP .

*Design, build, and evolvedata pipelines, data services, and analytics platforms supporting regulatory reporting and risk analytics.

*Champion engineering excellence by embeddingCI/CD pipelines , automation, testing, and robust quality gates.

Partner closely with DevOps, QA, Security, Architecture, and Product teams to deliver integrated solutions.

Mentor and develop engineers, setting clear standards and building a culture of ownership and continuous improvement.

What you'll need

We know no candidate ticks every box. If you meet many of these requirements and are excited by the role, we'd love to hear from you.

*Strong experience indata engineering , including data modelling, normalisation, and entity relationships for analytics at scale.

*Hands-on experience designing and buildingETL/ELT data pipelines and orchestration on Google Cloud Platform (GCP) , using tools such as Airflow / Cloud Composer .

*Solidsoftware engineering fundamentals , including version control ( Git/GitHub ), pull request field, code reviews, automated testing (unit and integration), and CI/CD .

*Proficiency inPython for data engineering and service development, writing clean, efficient, and maintainable code.

*A pragmaticdata governance approach, embedding access controls, data lineage, cataloguing, and data quality into delivery.

*Experience working in aregulated environment (banking or financial services preferred), with exposure to prudential or regulatory data such as Basel III and CRD IV .

*Proven experience intechnical and people leadership , including coaching engineers, setting engineering standards, and aligning teams around shared outcomes.

Nice to have

*Experience modernisinglegacy analytics or data platforms into cloud-native data pipelines and services.

*Experience withGKE / Kubernetes , containerised services, and cloud storage patterns.

*Knowledge ofRetail or Commercial Banking products and platforms to support architecture design and data migration discussions.

*Familiarity withdata product thinking , including domains, data contracts, SLAs and SLOs.

Observability for data systems, including metrics, alerting, lineage, and anomaly detection.

*Performance optimisation inBigQuery , including partitioning, clustering, and materialised views.

*Experience usingAI-enabled software development tools and modern engineering practices.

About working for us

We're an inclusive organisation that reflects modern society and celebrates diversity in all its forms.

We want our people to feel they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set diversity targets for senior roles and to introduce initiatives such as a menopause health package and a dedicated Working with Cancer policy.

We especially welcome applications from under-represented groups.

We're a Disability Confident employer. If you'd like reasonable adjustments made to our recruitment process, please let us know.

What we offer

*A generous pension contribution of up to15%

An annual bonus award, subject to Group performance

Share schemes, including free shares

Flexible benefits to suit your lifestyle

30 days' holiday , plus bank holidays

A wide range of wellbeing initiatives and generous parental leave policies

Want to do amazing work that's interesting and makes a real difference to millions of people?

Join us and be part of our transformation 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.

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