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JaJa Finance Ltd

Senior Analytics Engineer

Posted 2 days ago
5-10 years experience
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AI Summary

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

  • Supporting the design and delivery of new data models in a modern technology stack
  • Using Coalesce and/or DBT to build, maintain and optimise data transformations
  • Developing and enhancing structured and unstructured data models within Snowflake
  • Writing, optimising and maintaining complex SQL queries to support data pipelines and reporting requirements
  • Collaborating with stakeholders from different business areas to understand requirements and provide appropriate data solutions
  • Working closely with Product and Engineering teams to develop scalable and maintainable data assets
  • Upholding data governance and data quality standards
  • Supporting the BI and Analytics teams with key data sources required for their deliveries
  • Contributing to data modelling best practice and continuous improvement initiatives


Essential

  • Advanced SQL knowledge (including CTEs and window functions) with experience writing performant queries, preferably in Snowflake
  • Experience using data transformation tools such as Coalesce and/or DBT
  • Experience modelling both structured and unstructured data
  • Experience developing and maintaining data models within a modern data platform
  • Ability to work in a fast-paced, dynamic environment, ideally within a start-up or scale-up
  • Strong problem-solving skills and attention to detail
  • Excellent communication and stakeholder management skills
  • Experience collaborating with Product, Engineering and business teams


Desired

  • Experience with data quality frameworks
  • Familiarity with finance, credit and associated reporting
  • Knowledge of testing standards and version control
  • Experience with orchestration tools and workflows
  • Experience working within a modern cloud data environment


What's in it for you?  

  • The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever   
  • Competitive salary   
  • Pension contributions, including Salary Exchange facility 
  • Annual bonus potential
  • Private medical cover provided by Vitality (optional benefit)
  • 25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days). 
  • Your birthday off each year as an additional day's holiday
  • 4x life insurance cover 
  • Access to our confidential Employee assistance programme 

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