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For Companies At a Glance
- Tasks: Build and own high-quality data models to drive insights and decision-making.
- Company: Join Funding Circle, a leader in SME lending, helping small businesses thrive.
- Benefits: Enjoy hybrid working, private medical insurance, and a dedicated learning allowance.
- Why this job: Shape the future of analytics engineering while making a real impact on small businesses.
- Qualifications: Strong SQL skills and experience with DBT, AWS, and modern data warehouses required.
- Other info: Diversity is celebrated here; all backgrounds are encouraged to apply.
The predicted salary is between 43200 - 72000 £ per year.
Senior Analytics Engineer
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 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.
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 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’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.
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.
As a flexible-first employer we offer hybrid working at Funding Circle, and we\’ve 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!
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.
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Senior Analytics Engineer employer: Funding Circle UK
Contact Detail:
Funding Circle UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨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
Showcase your experience with dbt and SQL by preparing examples of past projects where you've built efficient data models. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
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 application process.
✨Tip Number 4
Prepare to discuss your familiarity with AWS data services and modern data warehouses. Being able to articulate how you've used these technologies in previous roles will demonstrate your technical expertise and readiness for the position.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong SQL skills, experience with DBT, and familiarity with AWS data services. Use specific examples from your past work that demonstrate your ability to build and maintain scalable data models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for analytics engineering and how you can contribute to Funding Circle's mission of supporting small businesses. Mention your problem-solving skills and how they align with the company's needs.
Showcase Relevant Projects: If you have worked on projects involving data lakes or modern data warehouses, be sure to include these in your application. Describe your role and the impact of your contributions to demonstrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves collaborating with analytics and data scientists, emphasise your teamwork experiences. Provide examples of how you've successfully worked with others to drive insights and decision-making in previous roles.
How to prepare for a job interview at Funding Circle UK
✨Showcase Your SQL Skills
As a Senior Analytics Engineer, strong SQL skills are crucial. 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
Since the role involves building and maintaining dbt models, highlight your hands-on experience with dbt. Discuss specific projects where you implemented modular and scalable data models, and be ready to explain how you ensure they follow best practices.
✨Understand the Business Needs
Funding Circle values candidates who can balance technical excellence with business needs. Prepare examples of how you've collaborated with analytics and data scientists in the past to drive insights and decision-making. This will show that you understand the importance of aligning technical work with business objectives.
✨Familiarise Yourself with Their Tech Stack
The job description mentions familiarity with AWS data services and modern data warehouses. Make sure you understand these technologies and can discuss your experience with them. Being knowledgeable about tools like S3, Athena, Snowflake, or BigQuery will demonstrate your readiness for the role.
