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- Tasks: Join our Data Engineering team to build impactful data models and drive insights.
- Company: Funding Circle supports small businesses with the finance they need to thrive.
- Benefits: Enjoy hybrid working, private medical insurance, fitness discounts, and a learning allowance.
- Why this job: Shape the future of Analytics Engineering in a diverse and supportive environment.
- Qualifications: Strong SQL skills, experience with DBT, and familiarity with AWS data services required.
- Other info: We celebrate diversity and encourage all applicants, regardless of experience.
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 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 are 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 are Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That is why we have made it our mission to help them get the finance they need to grow.
The role:
- Building and owning high quality dbt models, ensuring they are performant, well documented and thoroughly tested.
- Collaborating with analytics 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 time 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 are 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 does not align perfectly with the requirements.
Why join us?
At Funding Circle, we celebrate and support the differences that make you, you. We are proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better. As a flexible-first employer we offer hybrid working at Funding Circle, and we have long believed in a 'best of both' approach to in-office collaboration and non-office days. We expect our teams to be in our London office two times a week, where you can take advantage of our newly refurbished hybrid working space, barista made coffee and subsidised lunches (via JustEat) every day!
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 would love to hear from you.
Senior Analytics Engineer | London, UK employer: Funding Circle
Contact Detail:
Funding Circle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer | London, UK
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as dbt, AWS services, and Airflow. Having hands-on experience or even personal projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of Funding Circle on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your interview.
✨Tip Number 3
Prepare to discuss real-world examples of how you've solved complex data problems in previous roles. Be ready to explain your thought process and the impact of your solutions, as this will demonstrate your pragmatic problem-solving skills.
✨Tip Number 4
Showcase your understanding of best practices in data modelling and governance. You might want to prepare a few points on how you would implement these practices at Funding Circle, as this aligns with their goal of building a top-tier Analytics Engineering function.
We think you need these skills to ace Senior Analytics Engineer | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in SQL, DBT, and data modelling. Use specific examples that demonstrate your ability to build scalable data models and collaborate with analytics teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for supporting small businesses and how your skills align with Funding Circle's mission. Mention your familiarity with AWS services and your problem-solving approach.
Showcase 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 successfully implemented these technologies.
Highlight Collaboration Experience: Emphasise your experience working in cross-functional teams. Describe how you've collaborated with data scientists or analysts to drive insights and decision-making through data models.
How to prepare for a job interview at Funding Circle
✨Showcase Your SQL Skills
Prepare to discuss your SQL experience in detail. Be ready to share examples of complex queries you've written and how they contributed to data insights. This is crucial as strong SQL skills are a key requirement for the role.
✨Demonstrate Your DBT Knowledge
Familiarise yourself with DBT and be prepared to discuss your hands-on experience. Highlight specific projects where you built and maintained modular, scalable data models, and explain how you ensured they followed best practices.
✨Understand the Business Needs
Be ready to talk about how you balance technical excellence with business requirements. Think of examples where your analytical work directly influenced decision-making or drove insights that benefited the business.
✨Emphasise Collaboration
Since the role involves working closely with analytics and data scientists, prepare to discuss your collaborative experiences. Share how you’ve worked with cross-functional teams to understand their needs and deliver impactful data solutions.
