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Data Quality Engineer

Organismo
Fundingcircle
País
🇬🇧 Reino Unido
Lugar
London
Puestos
1
Tipo de vínculo
privado

Descripción del puesto

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

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