Full-Time · Hybrid Data Quality Engineer for Fintech Impact

Hybrid Data Quality Engineer for Fintech Impact

Funding Circle UK Funding Circle UK
Full-Time Home office (partial) Communication SkillsPythonProblem-Solving Skills
Employment
Full-Time
Remote
Home office (partial)
Salary
50000 - 65000 £ / year (est.)

About the role

Funding Circle UK is seeking an Analytics Engineer / Data Quality Engineer to shape our approach to Data Quality and build the data foundations for high growth areas.

The role sits in a top‑tier Data Quality and Data Governance function with strong backing from the business.

You’ll own dbt models, translate business logic into data quality rules, and work with analysts and data scientists to improve data accuracy and visibility.

Hybrid London office with competitive salary and benefits.

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Your tasks

Shape data quality and build foundations for high growth in fintech.

Your profile

Experience in data quality and analytics, with strong problem-solving skills.

What's also included

Enjoy a competitive salary, hybrid work, and great perks.

Tech stack & ways of working

Communication Skills Python Problem-Solving Skills SQL Automation Attention to Detail Data Engineering Data Pipeline Development API Integration ETL/ELT Processes Data Governance Data Quality Assurance

Hybrid Data Quality Engineer for Fintech Impact 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.

View Funding Circle UK profile

Contact Details:
Funding Circle UK Recruitment Team

Your perspectives

Make a real impact on data accuracy and visibility in a dynamic environment.

StudySmarter Expert Advice

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 Hybrid Data Quality Engineer for Fintech Impact 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 Hybrid Data Quality Engineer for Fintech Impact 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!

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.

Ready for the first step?

Apply on the employer's website
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