At a Glance
- Tasks: Shape data quality and governance for small businesses' funding solutions.
- Company: Join Funding Circle, a fintech leader supporting UK small businesses.
- Benefits: Competitive salary, flexible work, health perks, and learning opportunities.
- Other info: Be part of a supportive team in a dynamic, hybrid work environment.
- Why this job: Make a real impact on the economy while developing your career in data.
- Qualifications: Strong SQL skills and experience with dbt and data quality.
The predicted salary is between 50000 - 60000 £ per year.
We’re on a mission to back the UK’s small businesses like no one else
Small businesses are the backbone of the economy, and we’re here to help them win.
We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.
At Funding Circle, we have the restless energy of a fintech start‑up with the stability of a public company.
It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts.
We’re a high‑performing team that chooses to lift each other up.
We challenge, we champion, and we have each other’s backs – because we know that when we stand together, we move faster and build better.
The impact is real
Last year alone, the businesses on our platform generated £7.2bn for the UK economy.
Come and join a mission that matters!
[Read our Impact Report] | [See our Trustpilot]
The role: London (Hybrid) – 2 days in the office – Competitive Salary + Benefits.
We’re looking for an Analytics Engineer / Data Quality Engineer to join our team and help shape our approach to Data Quality and work on the data foundations for high growth areas at Funding Circle.
This is a unique opportunity to help build a top‑tier Data Quality and Data Governance function, with the full backing of the business.
We’re investing heavily in the people, tools, and technology needed to make it happen – and giving you the chance to play a key role in shaping its future.
Hear from our Senior Data Product Manager, Michael, about what it's like to be part of our Data team!
- Your Responsibilities Will Include
- Building and owning high‑quality dbt models, ensuring they are performant, well documented and thoroughly tested.
- Rule Engineering: Partner with product engineering and business teams to translate business logic into programmatically enforced data quality rules.
- Collaborate with analysts and data scientists to understand their needs and build models that drive data quality and the visibility and measurability of data accuracy.
- Champion best practices for data quality and data testing across data engineering teams.
- Review and work on data quality issues, both from a technical perspective and performing root‑cause analysis with stakeholders.
- What we’re looking for
- Strong SQL skills, with experience writing efficient and well‑structured queries.
- Hands‑on experience with dbt, building and maintaining modular, scalable data models that follow best practices.
- Previous experience working on data quality engagements.
- Strong understanding of dimensional modelling.
- Strong understanding of data quality and how it is measured.
- Desirable: Experience writing complex validation logic using tools like Great Expectations, dbt tests, Elementary, Soda, or Deequ.
- Familiarity with AWS data services (S3, Athena, Glue).
- Experience working with data lakes or modern data warehouses (Snowflake, Redshift, Big Query).
- A pragmatic problem solver who can balance technical excellence with business needs.
- Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long‑term mission.
- Act as a technical bridge and mentor, training “builders” across the company to move from basic AI usage to sophisticated system creation.
We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.
Why join us?
We back you to build an incredible career and by joining us, you'll be part of one of
The Sunday Times Best Companies to Work For 2026 !
As a flexible‑first employer, we use a “best of both” approach.
We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us!
- Our Circler Proposition Focuses On Five Areas
- Flexibility: We provide a benefit allowance you can tailor to your own life and family.
- Health: This includes private medical and dental, health assessments, and access to a digital GP.
- Wealth: We offer life assurance, share schemes, and financial coaching.
- Development: You get a dedicated annual learning allowance to help you level up.
- Lifestyle: We have electric car and cycle‑to‑work schemes, plus season ticket loans.
We also have award‑winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family.
Ready to join a mission that matters?
We’d love to chat!
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Data Quality Engineer employer: Funding Circle UK
Funding Circle UK is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation within the Capital Markets team in London. Employees benefit from flexible working options, comprehensive health coverage, and a dedicated learning allowance, ensuring both personal and professional growth in a supportive environment. This role not only provides the opportunity to engage in meaningful capital markets transactions but also allows for the development of strong relationships across various teams, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Engineer
✨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 Funding Circle UK!
✨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 Data Quality Engineer at Funding Circle UK.
✨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 Funding Circle UK.
✨Apply Directly through Our Website
When you find a suitable opening like Data Quality Engineer at Funding Circle UK, 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 Data Quality Engineer
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 Funding Circle UK, 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 Funding Circle UK. 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 Funding Circle UK
✨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 Funding Circle UK!
✨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.
