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Senior Analytics Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time · Permanent — employment source
Employment type in the employer’s posting: Full Time Permanent
From the employer’s posting
What you’ll work on
Full postingThis 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.
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.
Build, maintain and optimise data transformations using Coalesce and/or DBT
Develop structured and unstructured data models within Snowflake
Write, optimise and maintain complex SQL for pipelines and reporting
Turn stakeholder requirements from across the business into data solutions
Uphold data governance and data quality standards
From the employer’s posting
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.
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
Upholding data governance and data quality standards
About Jaja Finance
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Sep 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Jaja Finance is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
- 100% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- dbt
- Snowflake
Where the posting names them
🕒 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
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.
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.
- 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
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
- 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
- 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
- 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
Your next step
Complete your application on jajafinance.bamboohr.com. The employer’s form will show what is required.
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Has Jaja Finance posted this job before?
Yes. We’ve followed one other Senior Analytics Engineer job there since September 2026. It came down after 38 days.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
🛡️ Senior Analytics Engineer
🌍 Remote
📂 IT
🕒 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
Source details
Source notes
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- Pay
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- Location & working pattern
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🛡️ Senior Analytics Engineer 🌍 Remote 📂 IT
- Work authorization
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