Analytics Engineer

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!

[Read our Impact Report] | [See our Trustpilot]

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