At a Glance
- Tasks: Lead the design and development of innovative data products on Google Cloud Platform.
- Company: Join a pioneering finance group focused on transforming the industry for good.
- Benefits: Generous pension, performance bonuses, 30 days holiday, and flexible working options.
- Other info: Diversity-focused workplace with excellent career growth and support for all.
- Why this job: Shape the future of finance while mentoring and growing a talented team.
- Qualifications: Experience in cloud tech, SQL, Python, and strong leadership skills.
The predicted salary is between 72702 - 80780 £ per year.
SALARY: £72,702 - £80,780
LOCATION(S): Edinburgh or Leeds
HOURS: Full-time
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. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
What you’ll be doing:
Prudential & Analytics (P&A) is on an exciting journey and there is no better time to join us. We are pioneering the transformation of current processes from our on‑premises platforms and have started deploying solutions on the Google Cloud Platform. This role sits within our platforms Analytics Lab, which is looking to create strategic data products and build data and analytics capability. In this role you’ll collaborate with Software Engineers, Risk Scientists, and Business SMEs and lead other Data Engineers to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs. You will design, develop, maintain and continuously enhance data processes that underpin critical regulatory and prudential change, delivering high‑quality solutions while shaping how others approach the work through clear leadership and oversight. You will play a key role in building modern data products, pipelines and APIs that power current and future analytics and reporting. Alongside this, you will set the standard for engineering excellence—mentoring colleagues, offering constructive feedback and creating opportunities for shared learning and growth. Working closely with the Product Owner and customers, you will help shape and prioritise the feature team backlog, applying strong problem‑solving skills and sound technical judgement to assess options and define a clear, confident way forward.
Why join us:
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.
What we’re looking for:
- Passion for software and data engineering, adopting the mindset of a curious engineer
- A technical lead, who takes ownership of deliveries within a Feature Team and is willing to help grow and guide engineers to form successful teams.
- Experience with cloud technology for data solutions, particularly Google Cloud Platform
- Experience DBT, SQL, Python, Java or SAS and other open source technologies used in analytics is essential.
- Ability to understand complex business requirements and create business ready solutions
- Strong interpersonal, communication and influencing skills, particularly the ability to convey business information arising from technical subject matter to non‑technical people.
And any experience of these would be great:
- Insights into industry solutions for data management, storage, and analytics
- Experience of working within regulatory change would be advantageous, including Credit Risk, capital and impairment processes.
- Experience of Commercial Banking Application Landscape and associated data models and data flows
- Experience of line management.
This is a place for you:
Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop. 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. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long‑term health or neurodivergent condition through the Disability Confident Scheme.
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
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Senior Data Engineer in Leeds employer: Lloyds Banking Group
Join us as a Senior Data Engineer and be part of an innovative team in Edinburgh or Leeds, where we are transforming finance for good. Our hybrid work culture promotes flexibility and inclusivity, ensuring that all employees can thrive while enjoying a comprehensive benefits package, including generous pension contributions, performance bonuses, and 30 days of holiday. With a strong focus on employee growth and development, you will have the opportunity to lead and mentor fellow engineers, shaping the future of data analytics in a supportive environment committed to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Google Cloud Platform, DBT, SQL, or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex business requirements in the past. Use real examples to demonstrate your technical judgement and leadership abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our exciting journey in transforming finance for good.
We think you need these skills to ace Senior Data Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud technologies, especially Google Cloud Platform, and showcase your skills in DBT, SQL, Python, or Java. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for software and data engineering. Share specific examples of how you've taken ownership in previous roles and how you can contribute to our exciting journey at StudySmarter.
Showcase Your Leadership Skills:Since this role involves mentoring and guiding other engineers, make sure to highlight any leadership experience you have. Talk about how you've helped teams grow and succeed in the past—this will really resonate with us!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team. We can't wait to hear from you!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud technologies, especially Google Cloud Platform. Be ready to discuss your experience with DBT, SQL, Python, and Java, as these are crucial for the role. Prepare examples of how you've used these tools in past projects.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll be expected to lead and mentor others. Think of specific instances where you've guided a team or influenced a project positively. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
✨Understand the Business Context
Familiarise yourself with the business requirements related to data engineering and analytics. Be prepared to discuss how your technical solutions can meet these needs and drive value for the company. This shows that you can bridge the gap between tech and business.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about the company's data strategy, team dynamics, and how they approach regulatory changes. This not only shows your interest but also helps you gauge if the company is the right fit for you.
