Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Engineer

Lloyds Banking Group
Edinburgh
2 weeks ago
Create job alert

Join to apply for the Lead Data Engineer role at Lloyds Banking Group

Join to apply for the Lead Data Engineer role at Lloyds Banking Group

Get AI-powered advice on this job and more exclusive features.

This range is provided by Lloyds Banking Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

JOB TITLE: Lead Data Engineer

LOCATION: Edinburgh, Manchester, Leeds or Bristol

HOURS: Full time

WORKING PATTERN: Hybrid, 40% (or two days) in an office site

About this opportunity

At Lloyds Banking Group, we're moving to the next stages of our digital transformation, and it's our job within the Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO's Security Data Services lab does this by using data to build security insights by working collaboratively with our Data Management and Analytics teams.

This is an exciting opportunity for a Lead Data Engineer to join the Security Data Services lab in the Chief Security Office to work alongside the Team Product Owner in a Feature Team managing delivery by leading others. They will operate as co-leader with the Team PO with involvement in decision making and planning of Product roadmap.

What you'll do

Design, develop, and maintain complex Data Products. Implementing clean, maintainable, and efficient solution design following best practices.

Lead implementation reviews and all aspects of data product delivery to preserve quality and share knowledge.

Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform.

Identify and implement best practices for data engineering.

Excellent problem solving and analytical skills to resolve complex data issues, technical problems, and bugs.

Leading and managing a team of data engineers to develop and deliver data products for labs within CSO, using a wide range of internal and external data sources

Strong understanding of data security principles and secure architectural practices

Knowledge of DevOps practices and CI/CD pipelines

Ensure timely delivery by managing tasks and priorities effectively utilising their in-depth expertise in Agile methodology.

Communicate effectively with team and stakeholders.

Accountable for custodianship governance activities on data assets that their platform produce and consume.

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

Data Engineering - Proficient in building end to end data solutions, including ETL pipelines and data warehouses.

Data Literacy - In depth knowledge of the full data lifecycle and data-informed decision making.

Data Modelling & Design - Proficiency in designing robust data models using databases and

Leadership - Experience building and leading high performing teams

Innovators Mindset - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategies remain at the forefront of the industry.

It would be great if you also had

Artificial Intelligence/Machine Learning knowledge

Understanding of the emerging threats within Cyber Security

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. As an inclusive employer, we offer Workplace Adjustments for colleagues with a disability (which may include long term health and neurodivergent conditions) where it is reasonable to do so. This could include flexibility with regards to office attendance, location, and working pattern. If you have a disability, you can also apply via our Disability Confident Scheme (DCS). Through the DCS, we guarantee to interview a fair and proportionate number of applicants with a disability, whose application meets the minimum criteria for the advertised job role. We also provide adjustments that are reasonable throughout the recruitment process to reduce or remove barriers for applicants with a disability, long-term health condition or neurodivergent condition. If you'd like an adjustment to the recruitment process 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

If you're excited by the thought of becoming part of our team, get in touch. We'd love to hear from you!

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesData Infrastructure and Analytics, Data Security Software Products, and Software Development

Referrals increase your chances of interviewing at Lloyds Banking Group by 2x

Sign in to set job alerts for “Data Engineer” roles.

Edinburgh, Scotland, United Kingdom 1 month ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 3 months ago

Edinburgh, Scotland, United Kingdom 1 week ago

Senior Data Engineer (with ML knowledge)

Edinburgh, Scotland, United Kingdom 1 month ago

Edinburgh, Scotland, United Kingdom 5 hours ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 6 days ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 1 month ago

Edinburgh, Scotland, United Kingdom 3 months ago

Backend Junior Software Engineer - Remote 4 days a week (Europe)

Edinburgh, Scotland, United Kingdom $30,000.00-$40,000.00 1 day ago

Edinburgh, Scotland, United Kingdom 6 days ago

Graduate Machine Learning Engineer - Edinburgh - £30,000

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 3 weeks ago

Edinburgh, Scotland, United Kingdom 1 month ago

Edinburgh, Scotland, United Kingdom 2 days ago

Edinburgh, Scotland, United Kingdom 2 weeks ago

Edinburgh, Scotland, United Kingdom 1 month ago

Edinburgh, Scotland, United Kingdom 2 weeks ago

Internship - AI Embedded Software Engineer (Italy Based)

Edinburgh, Scotland, United Kingdom 2 months ago

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Edinburgh, Scotland, United Kingdom 3 months ago

Edinburgh, Scotland, United Kingdom 2 weeks ago

Edinburgh, Scotland, United Kingdom 2 months ago

Edinburgh, Scotland, United Kingdom 3 weeks ago

Edinburgh, Scotland, United Kingdom 1 day ago

Edinburgh, Scotland, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Edinburgh

Lead Data Engineer

Lead Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.