At a Glance
- Tasks: Join our Data Engineering team to build impactful data models and support analytics.
- Company: Funding Circle helps small businesses thrive with fast, hassle-free finance solutions.
- Benefits: Enjoy private medical insurance, learning allowances, fitness discounts, and more!
- Other info: We value diversity and encourage all applicants, regardless of experience.
- Why this job: Shape the future of analytics while making a real difference in the SME sector.
- Qualifications: Strong SQL skills, experience with DBT, and familiarity with AWS data services required.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Senior Analytics Engineer to join our Data Engineering team which sits under Tech and Data. We’re looking for a Senior Analytics Engineer to 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.
Who are we? We’re Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That’s why we’ve made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we’ve built a game-changer of a platform with cutting-edge data and technology that’s reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash.
We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience.
The role:
- 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.
At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements.
Want to learn more? We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £6.9bn of GDP generated). You can read our full Impact Report here.
To see what our customers think, visit our Trustpilot page.
And we’re still evolving! Our award-winning multi-product platform is solving more SME finance challenges than ever before. We think big, rally together and meet the needs of SME customers like no other.
Why join us?
At Funding Circle, we celebrate and support the differences that make you, you. We’re proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better.
We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle.
A few highlights:
- Health: Private Medical Insurance through Aviva, Dental Insurance through Bupa, MediCash, access to free online therapy sessions and exclusive discounts with Hertility for reproductive health support.
- Wealth: Octopus Money Coach, free mortgage advisor partnership and discounts across numerous retailers through Perks at Work.
- Development: Dedicated annual learning allowance and full access to internal learning platform.
- Lifestyle: Wellhub (for fitness discounts), Electric Car Scheme and more!
And finally, we have award winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments.
Ready to make a difference? We’d love to hear from you.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Engineer - Funding Circle in London
✨Tip Number 1
Familiarise yourself with Funding Circle's mission and values. Understanding their commitment to supporting small businesses will help you align your answers during interviews and demonstrate your passion for their work.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss specific examples of how you've used SQL in past projects. Highlighting your experience with efficient queries can set you apart from other candidates.
✨Tip Number 3
Showcase your hands-on experience with DBT by preparing a portfolio of models you've built or maintained. Being able to discuss the challenges you faced and how you overcame them will demonstrate your problem-solving abilities.
✨Tip Number 4
Network with current or former employees of Funding Circle on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the specific challenges the team is facing, which you can address in your application.
We think you need these skills to ace Senior Data Analytics Engineer - Funding Circle in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data analytics and engineering. Focus on your SQL skills, DBT experience, and any work with AWS data services or data warehouses. Use specific examples to demonstrate your achievements.
Craft a Compelling Cover Letter:In your cover letter, express your passion for helping small businesses succeed and how your skills align with Funding Circle's mission. Mention your understanding of dimensional modelling and your problem-solving abilities, as these are key aspects of the role.
Showcase Your Technical Skills:When detailing your technical skills, be specific about your experience with tools like Airflow, Snowflake, or Redshift. Provide examples of projects where you built scalable data models or improved data processes, as this will resonate with the hiring team.
Highlight Collaboration Experience:Since the role involves working closely with analysts and data scientists, include examples of past collaborations. Describe how you’ve successfully communicated technical concepts to non-technical stakeholders and contributed to team projects.
How to prepare for a job interview at Funding Circle
✨Showcase Your SQL Skills
Since strong SQL skills are crucial for this role, be prepared to discuss your experience with writing efficient and well-structured queries. You might even be asked to solve a SQL problem during the interview, so brush up on your skills beforehand.
✨Demonstrate Your DBT Experience
Make sure to highlight your hands-on experience with DBT. Discuss specific projects where you built and maintained modular, scalable data models, and explain how you followed best practices in your work.
✨Understand the Business Needs
Funding Circle values pragmatic problem solvers who can balance technical excellence with business needs. Be ready to provide examples of how you've aligned your technical work with business objectives in previous roles.
✨Familiarise Yourself with Their Tools
Research the AWS data services mentioned in the job description, such as S3, Athena, and Glue. Having a solid understanding of these tools will show that you're proactive and genuinely interested in the role.
