Data Quality Engineer

Funding-Circle; City Of London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Barista coffee

Subsidised lunches

Flexible benefits

Job summary

Funding Circle seeks an Analytics Engineer / Data Quality Engineer to join our London-based data team. This hybrid role involves building robust dbt data models, enforcing data quality rules, and shaping data foundations for high-growth areas.

You'll collaborate with analysts and data scientists to improve accuracy, implement best practices, and mentor teams as we scale our data governance function with strong business impact.

Qualifications

• Strong SQL skills and optimized queries.

Responsibilities

• Build and own high quality dbt models, documented and tested.
• Translate business logic into Data Quality Rules.
• Collaborate with analysts and data scientists to improve data quality and visibility.
• Champion best practices for Data Quality across teams.
• Review and address Data Quality issues with root-cause analysis.

Skills

Strong SQL

DBT

Data Quality

Dimensional modelling

Great Expectations

dbt tests

AWS data services

Data lakes/warehouses

AI solutions

Tools

dbt

Snowflake

Redshift

BigQuery

S3

Athena

Glue

Job description

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

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 across the company to move from basic AI usage to sophisticated system creation

We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.

Why join us?

We back you to build an incredible career and by joining us, you'll be part of one of The Sunday Times Best Companies to Work For 2026! As a flexible-first employer, we use a "best of both" approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us!

Our Circler Proposition focuses on five areas:

• Flexibility: We provide a benefit allowance you can tailor to your own life and family.

• Health: This includes private medical and dental, health assessments, and access to a digital GP.

• Wealth: We offer life assurance, share schemes, and financial coaching.

• Development: You get a dedicated annual learning allowance to help you level up.

• Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.

We also have award-winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family.