Remote Senior Analytics Engineer Build Scalable Data Models

JaJa Finance Ltd; Greater London; Hybrid; GBP 60,000 - 70,000; Full time

Benefits offered by this job

Competitive salary

Pension contributions (Salary Exchange

Annual bonus

Private medical cover

25 days leave + holidays

Birthday day off

Life insurance

Employee assistance

Job summary

JaJa Finance Ltd in the UK is recruiting a Senior Analytics Engineer for a remote, full-time role. You will shape robust data models, collaborate with product and engineering teams, and own data assets in Snowflake to support trusted insights.

The ideal candidate thrives in a fast-paced fintech environment and is eager to expand skills in data operations while maintaining high data quality and accessibility.

Qualifications

• SQL knowledge with CTEs and window functions; proficient in writing performant Snowflake queries.
• Experience with transformation tools such as Coalesce.io; DBT is a plus.
• Modelling of structured and unstructured data.
• Ability to thrive in a fast-paced startup/scale-up environment.
• Strong problem solving and attention to detail; excellent communication and collaboration skills.

Responsibilities

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

Skills

SQL

Data modelling

DBT

Coalesce.io

Stakeholder management

Communication

Tools

Snowflake

Job description

JaJa Finance Ltd in the UK is recruiting a Senior Analytics Engineer for a remote, full-time role. You will shape robust data models, collaborate with product and engineering teams, and own data assets in Snowflake to support trusted insights.

The ideal candidate thrives in a fast-paced fintech environment and is eager to expand skills in data operations while maintaining high data quality and accessibility.