Job Opportunities API

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 https://www.fundingcircle.com/uk/impact] | [See our Trustpilot https://uk.trustpilot.com/review/fundingcircle.com] 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 https://www.youtube.com/watch?index=8&list=PLyJP-bm-_tkiZ0LUzMxBKCeIKSZo_uDcX&v=HPWTmb1KN9I, 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