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
We’re looking for an Analytics Engineer / Data Quality Engineer to join our team and help shape our approach to Data Quality and work on the data foundations for high growth areas at Funding Circle.
This is a unique opportunity to help build a top tier Data Quality and Data Governance 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.
Hear from our Senior Data Product Manager, Michael, about what it’s like to be part of our Data team!
Your Responsibilities Will Include
- Building and owning high quality dbt models, ensuring they are performant, well documented and thoroughly tested
- Rule Engineering: Partner with product engineering and business teams to translate business logic into programmatically enforced Data Quality Rules
- Collaborate with analysts and data scientists to understand their needs and build models that drive Data Quality and the visibility and measurability of Data accuracy.
- Champion best practices for Data Quality and data testing, across data engineering teams
- Review and work on Data Quality issues, both from a technical perspective and performing root cause analysis with stakeholders
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
- Previous experience working on Data Quality engagements
- Strong understanding of dimensional modelling
- Strong understanding of Data Quality and how it is measured
- Desireable: Experience writing complex validation logic using tools like Great Expectations, dbt tests, Elementary, Soda, or Deequ.
- Familiarity with AWS data services ( S3, Athena, Glue )
- 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
#J-18808-Ljbffr…