At a Glance
- Tasks: Build and own high-quality data models to drive insights and decision-making.
- Company: Join Funding Circle, a fintech leader supporting UK small businesses.
- Benefits: Flexible work, competitive salary, health perks, and a dedicated learning allowance.
- Other info: Collaborative culture with opportunities for mentorship and personal growth.
- Why this job: Make a real impact on the financial world while growing your career.
- Qualifications: Strong SQL skills and experience with DBT and modern data platforms.
The predicted salary is between 50000 - 65000 ÂŁ 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!
The role London (Hybrid) | 2 days in the office | Competitive Salary + Benefits. Data is core to our mission at Funding Circle to build a better financial world as well as being our key asset that everyone across the organisation has a part to play in making sure that we look after it, allowing us to better support our customers. Our central data team lives in our Tech org and reports to the VP of Data. In order to strengthen our data maturity and become truly data driven we are committed to:
- Building a strong data culture where data is treated as an asset
- Empowering our circlers to become highly data fluent and confident self-serve users
- Enhancing our world class data platform
- Creating data products across all domains
- Transforming our business with ML & AI
We’re looking for an Analytics Engineer to join our team and help shape the data foundations for high growth areas of Funding Circle. We have opportunities across multiple teams, each tackling unique challenges and building high impact data models to power critical reporting and self-serve analytics. This is a unique opportunity to help build a top tier Analytics Engineering 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.
Your responsibilities will include:
- Building and owning high quality dbt models, ensuring they are performant, well documented and thoroughly tested
- Collaborating with analysts and data scientists to understand their needs and build models that drive insights and decision making
- Champion best practices for data modelling, transformation, and governance, in your immediate team and across the business
- Consult on our evolving data platform, advising on the tooling, infrastructure and practices needed to enable best-in-class Analytics Engineering
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
- Strong understanding of dimensional modelling
- Familiarity with AWS data services (S3, Athena, Glue)
- Experience with Airflow for scheduling and orchestrating workflows
- Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery)
- 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. 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.
Analytics Engineer employer: Funding Circle Ltd.
Contact Detail:
Funding Circle Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Funding Circle on LinkedIn. Ask them about their experiences and any tips they might have for landing the Analytics Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and DBT knowledge. Be ready to discuss how you've tackled data challenges in the past. Show us your problem-solving skills and how you can contribute to our mission!
✨Tip Number 3
Don’t just focus on technical skills; highlight your ability to collaborate with analysts and data scientists. We love team players who can communicate effectively and drive insights together. Share examples of successful teamwork in your previous roles!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining our mission to support small businesses across the UK.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data! Share specific examples of how you've used data to drive insights or solve problems in previous roles. We love seeing candidates who are genuinely excited about making an impact with data.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with the Analytics Engineer role. Mention your SQL prowess, DBT experience, and any familiarity with AWS services. This shows us you’ve done your homework and understand what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our mission and values!
How to prepare for a job interview at Funding Circle Ltd.
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, especially SQL and DBT. Brush up on your skills and be ready to discuss how you've used these tools in past projects. This will show that you can hit the ground running!
✨Understand the Company’s Mission
Funding Circle is all about supporting small businesses. Familiarise yourself with their mission and think about how your role as an Analytics Engineer can contribute to that. Be prepared to share ideas on how data can drive insights for their customers.
✨Prepare for Technical Questions
Expect to face technical questions related to data modelling and transformation. Practice explaining your thought process when building data models and how you ensure they are performant and well-documented. This will demonstrate your expertise and problem-solving skills.
✨Show Your Collaborative Spirit
Since the role involves working closely with analysts and data scientists, be ready to discuss examples of how you’ve collaborated in the past. Highlight your ability to communicate complex data concepts in a way that others can understand, showcasing your team player attitude.