At a Glance
- Tasks: Lead and mentor a team of Analytics Engineers to deliver impactful projects.
- Company: Join Funding Circle, a fintech innovator supporting UK small businesses.
- Benefits: Competitive salary, flexible work, health perks, and personal development opportunities.
- Other info: Be part of a top-rated workplace with excellent career growth and a collaborative culture.
- Why this job: Make a real difference for small businesses while growing your career in a dynamic environment.
- Qualifications: Experience in managing analytics teams and delivering high-quality data projects.
The predicted salary is between 63000 - 77000 £ 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.
Read our Impact Report] | [See our Trustpilot]The role London (Hybrid) | 2 days in the office | Competitive Salary + Benefits You’ll make a real difference for our customers and your team from day one.
Lead, manage, and mentor a team of Analytics Engineers, fostering a collaborative, innovative, and inclusive team culture Oversee the planning, execution, and delivery of projects within the analytics engineering roadmap for the team, ensuring timely and high-quality outcomes Manage the team's backlog, prioritise tasks effectively, and define & track key performance indicators (KPIs) for team delivery Build strong relationships and collaborate effectively with key stakeholders, including technical and business leaders.
Understand stakeholder needs and translate them into actionable requirements for the data team.
Communicate the team's roadmap, progress, challenges, and successes clearly and proactively to technical and non-technical audiences Actively invest in the career development of your team members through coaching, mentoring, and identifying growth opportunities.
Create personalized development plans and support Analytics Engineers in acquiring new skills and expertise What we’re looking for Proven experience managing and leading a high-performing Analytics Engineering team in a product-driven environment; ideally within Financial Services Proven track record of successfully delivering Analytics Engineering projects with a focus on trustworthy, high-quality data Demonstrable experience in managing project delivery, including planning, prioritisation, and execution.
Experience with Agile/Scrum Excellent stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences Excellent problem solving skills and the ability to translate complex business requirements into technical requirements Skills we’d love to see: Solid understanding of modern data platform architectures, DBT and Snowflake. (data warehousing, ETL/ELT processes, data orchestration, streaming data, data governance).
A proactive approach to identifying and implementing improvements related to data pipeline reliability, data quality and performance.
We’re building a place where everyone truly feels they belong.
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’d love to chat!
Data Engineering Manager (Permanent) in London employer: Funding Circle
Funding Circle is an exceptional employer that fosters a collaborative and innovative work culture, particularly in our London office where hybrid working allows for flexibility and balance. We prioritise employee growth through mentorship opportunities and encourage the development of cutting-edge AI solutions, all while offering a competitive salary and comprehensive benefits that support your well-being and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager (Permanent) in London
✨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!
✨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 Engineering Manager (Permanent) at Funding Circle.
✨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.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Manager (Permanent) at Funding Circle, 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 Engineering Manager (Permanent) in London
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, 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. 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
✨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!
✨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.
