At a Glance
- Tasks: Lead automation testing and ensure data quality in innovative projects.
- Company: Join Lloyds Banking Group, a leader in diversity and inclusion.
- Benefits: Enjoy a competitive salary, generous pension, and 30 days holiday.
- Other info: Flexible working options and excellent career growth opportunities await you.
- Why this job: Be part of a transformative journey in data and technology.
- Qualifications: Experience in automation frameworks and modern data technologies required.
End Date: Monday 07 September 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
Location: Bristol
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 our Bristol office location.
About this opportunity:
The Growth, Data & Analytics Platform (GDA), part of the Consumer Relationships Business Unit, plays a pivotal role in delivering the Group’s personalisation strategy - making customer interactions more relevant while unlocking the full potential of Cloud technology. As the GDA platform undergoes a major transformation, this is a unique opportunity to join as a Senior Data Quality Engineer. You’ll be at the centre of this evolution, helping shape the future of our platform model and leading the delivery of simpler, more skilled, and faster ways of working that drive better customer outcomes.
In this role, you’ll operate at Feature Team level and focus on building automation framework, supporting other engineers in establishing & running quality gates using test pyramid and other modern test automation practices. You’ll be involved in design, development, and maintenance of software applications from test automation perspective and help in successful product delivery. This is a full-stack individual contributor Sr. QE/SDET role with primary focus on modern data technologies built on GCP along with event-driven architecture experience and lead the feature team from test automation front.
What you’ll need:
- Experience of driving advanced software testing techniques applying modern automation test approaches in Data Engineering project, ensuring robust data quality.
- Hands-on experience of developing BDD based Automation Frameworks for Data, ETL & Event-Driven applications using Python, Java or Typescript.
- Ability to solve complex automation use cases for new Data Products built on Data-Mesh, Lakehouse and streaming architecture.
- Working experience of modern data & event-driven technologies, such as:
- Testing & Automation: PyTest, Cucumber, Behave, DBT, GreatExpectations, GCP DVT, Monte Carlo, Soda, Deequ, RestAssured etc.
- Data Engineering & Orchestration: BigQuery, Spanner, Apache Kafka, Airflow, Spark, Cloud Composer, DAGs, Apache Beam, Pub/Sub, Dataflow, DataStage, Teradata, Snowflake, ETL, SQL etc.
- Data Governance & Visualisation: Looker, Ataccama, Dataplex, Collibra, PowerBI.
- AI/ Analytics: Exposure to TensorFlow, PyTorch, Scikit-learn, OpenCV, LangChain and GenAI tools.
- Experience of designing & executing complex automation testing strategies and frameworks for Functional and Non-Functional requirements of Data and AI platforms.
- Create or accurately request complex test data, taking into account referential integrity, data quality and governance.
- Incorporate automated tests into the CI/CD pipeline and DevOps tooling like Jenkins, Harness, Terraform, Dynatrace etc.
- Strong programming proficiency in Python (preferable), Java or JavaScript.
- Experience with Agile tools (Jira, Confluence, Xray).
- Experience on Source code management tools (Git, GitHub).
About working for us:
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 provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
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.
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.
Senior Data Quality Engineer in Bristol employer: Lloyds Bank
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Bristol that fosters innovation and personal growth. With a strong commitment to diversity, equity, and inclusion, employees benefit from flexible working options, a generous benefits package, and numerous opportunities for professional development, all while contributing to meaningful projects that impact millions of customers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Quality Engineer in Bristol
✨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 Bank!
✨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 Quality Engineer at Lloyds Bank.
✨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 Bank.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Quality Engineer at Lloyds Bank, 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!
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 Bank, 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 Bank. 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 Bank
✨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 Bank!
✨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.