At a Glance
- Tasks: Build and optimise data pipelines for impactful insights across the organisation.
- Company: Join Lloyds Banking Group, a leader in financial services with a commitment to diversity.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
- Other info: Dynamic environment with opportunities for growth and mentorship.
- Why this job: Be part of a transformative journey, shaping the future of financial services.
- Qualifications: Experience in data engineering, cloud platforms, and data visualisation tools.
The predicted salary is between 72702 - 80780 £ per year.
End Date: Tuesday 25 August 2026
Salary Range: 72,702 - 80,780
We support flexible working – click here for more information on flexible working options.
Flexible Working Options: Hybrid Working, Job Share
JOB DESCRIPTION SUMMARY:
SALARY: 72,702 – 80,780
LOCATION(S): Bristol
HOURS: Full-time – 35 hours per week
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Bristol office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
ABOUT THIS OPPORTUNITY:
This role sits within our Customer Data Services Platform, and we're the team that looks after the reference data, product data for the whole of Lloyds Banking Group. Our mission is to make this data available for the right purpose with the appropriate confidentiality whilst ensuring a phenomenal engineering experience based on performance, resilience, and integrity. The systems we support underpin almost everything we do as Lloyds Banking Group. We maintain these systems with the highest standard and operate them 24/7 using SRE principles.
WHAT YOU’LL BE DOING:
- As a Senior Data Engineer, you'll be responsible for building and optimising data pipelines and architectures that enable data driven insights across the organisation.
- You'll work primarily within Informatica, IBM product manager and Google Cloud Platform (GCP) ecosystem, leveraging tools such as Big Query, DBT (Data Build Tool), Apache Kafka, and SQL and many more including legacy technologies.
- We expect a high degree of automation for tests and deployments.
- We follow LBG's agile practices and governance processes.
EXPERTISE IN:
- MDM (Master Data Management), reference data management, and GCP
- Participate in design/implementation reviews and team ceremonies
- Continuously look for reuse and opportunities to automate repetitive tasks
- Support building a strong team by mentoring early career engineers
- Invest to develop technical and agile skills
WHY JOIN US?
We’re transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey.
WHAT WE’RE LOOKING FOR:
- Data Engineering: Implementing data management processes and systems
- Data Literacy: Designing, developing, and applying data and analytics experience
- Data Modelling and Design: Practice of visually representing the design of information systems
- Experienced in working with MDM, reference data, and product data management
- Experience with cloud platforms such as Google Cloud, Azure or AWS, and their underlying data engineering services.
- Experience with SQL and data warehouse technology such as BigQuery.
- Experience with data visualisation tools such as Tableau, Power BI, or Looker.
- Familiarity with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes).
- Relevant certifications in data engineering, cloud platforms, or related areas.
We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
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 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
Ready for a career where you’ll learn and thrive? Apply today and find out more.
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.
SUMMARY:
Location: Bristol
Type: Full time
Senior Data Engineer - Customer Data Services - CIO Enabling employer: Lloyds Banking
Lloyds Banking Group is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. With a strong focus on strategic initiatives in Corporate & Institutional Banking, employees benefit from generous pensions, annual bonuses, and flexible working arrangements, making it an ideal place for those seeking meaningful and rewarding careers in London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Customer Data Services - CIO Enabling
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lloyds Banking!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer - Customer Data Services - CIO Enabling at Lloyds Banking.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lloyds Banking.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - Customer Data Services - CIO Enabling at Lloyds Banking, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer - Customer Data Services - CIO Enabling
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lloyds Banking, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lloyds Banking. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lloyds Banking
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lloyds Banking!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.