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Design, build, optimize, and maintain scalable data models and transformations in Snowflake using advanced SQL and tools such as Coalesce or DBT. Collaborate with Product, Engineering, BI, Analytics, and business stakeholders to deliver reliable, governed data assets and support data quality and modeling best practices.
🛡️ Senior Analytics Engineer
🌍 Remote
đź“‚ IT
đź•’ Full Time
Do you enjoy building robust data models and transforming complex data into trusted, business-ready assets? Are you passionate about advanced SQL, Snowflake, and modern data transformation tools such as Coalesce or DBT? If you thrive in a fast-paced environment and enjoy working closely with Product, Engineering and business teams, we'd love to hear from you.
Who we are
Jaja is a UK‑based consumer finance business with a simple mission: to empower customers to buy, borrow and build using smart tech, strong data, and clear design. We launched our digital credit card in 2018 and we’re continuing to grow, with new products and experiences in the pipeline. Our goal is to strip out unnecessary complexity and give people more control over their money — or as we put it, Make Simple. Our values guide how we work: Care Deeply. Adapt & Thrive. Challenge Everything. Go For It. Own It. Make It Simple. We’re scaling quickly, and there’s a lot of exciting change happening across the business.
About The Role
This role requires a strong technical background in data modelling, SQL and modern transformation tooling, combined with the ability to work closely with both technical and business stakeholders. You will play a key role in designing, developing and maintaining scalable data models in Snowflake, ensuring data assets are reliable, governed and fit for business use.
The successful candidate will have advanced SQL expertise, experience using data transformation tools such as Coalesce and/or DBT, and a strong understanding of modelling both structured and unstructured data. You'll work closely with Product, Engineering, BI and Analytics teams to deliver high-quality data solutions that support business decision making.
The ideal candidate will bring a proactive and collaborative approach to data operations, with a passion for best practice, continuous improvement and learning new technologies.
Key Responsibilities
Essential
Desired
What's in it for you? 
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