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Jaja Finance

Analytics Engineer

Posted 9 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Mid level
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Mid level
Build, maintain and deliver data models and assets in Snowflake. Collaborate with product, engineering and business stakeholders to translate requirements, uphold data governance, and support BI/analytics teams. Develop performant SQL transformations using modern tooling and ensure data quality, continuity, and alignment with product and engineering needs.
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🛡️ Analytics Engineer

🌍 Remote

📂 IT

🕒 Full Time

💷 Up to £65,000 DOE

 

Do you enjoy turning complex data into trusted, business-ready insights? Are you passionate about building robust data models, collaborating with stakeholders, and ensuring data is accurate, accessible, and fit for purpose? If you thrive in a fast-paced environment and want to play a key role in shaping the data foundations of a growing fintech, 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 hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team’s delivery.  

 

Key responsibilities

  • Supporting the delivery of new data models in a modern technology stack 
  • Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions 
  • Developing existing data models in line with product and engineering 
  • Upholding the data governance standards 
  • Supporting the BI and Analytics teams with key data sources required for their deliveries  

 

About You  

Essential  

  • SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake 
  • Using transformation tools, we use Coalesce.io but DBT would also set you up for success 
  • Modelling structured and unstructured data 
  • Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up 
  • Strong problem solving and attention to detail 
  • Excellent communication and collaboration skills  

 

Desired

  • Experience with data quality frameworks 
  • Familiarity with finance, credit and associated reporting 
  • Experience of working with Product and Engineering teams   
  • Knowledge of testing standards and version control  
  • Experience with orchestration  

 

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 
HQ

Jaja Finance London, England Office

27 Old Gloucester Street, London, United Kingdom, WC1N 3AX

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