Junior Analytics Engineer — Shape Fintech Data

Lendable; Greater London; Hybrid; GBP 40,000 - 55,000; Full time

Benefits offered by this job

Health coverage

Flexible working

Employee referral programme

Office meals & snacks

Sustainable commuting

Job summary

Lendable is seeking a Junior Analytics Engineer to join their analytical foundation for the US Cards team in Greater London. In this role, you'll collaborate across teams to improve data quality and structure, with support to grow your skills in SQL and dbt.

The position offers flexible working conditions, including hybrid roles, and opportunities to contribute to one of the fastest-growing fintech companies. Key responsibilities include building data models and improving transformation processes.

Benefits include health coverage, a retirement plan, and a vibrant workplace culture.

Qualifications

• Solid SQL skills and a willingness to keep improving them.
• Hands-on experience with dbt or ELT pipelines.
• Collaborative working style and clear communication across stakeholders.
• Growing understanding of data modelling.
• Comfort using AI tools to enhance work quality.

Responsibilities

• Contribute to data models that support credit decisions.
• Build and improve dbt models and transformations.
• Act as a bridge between analysts and engineers.
• Identify opportunities for improvement in data pipelines.
• Support the scaling of data infrastructure.

Skills

Solid SQL skills

Hands-on experience with dbt

Collaborative working style

Understanding of data modelling

Comfort using AI tools

Tools

Snowflake

dbt

Fivetran

Job description

Lendable is seeking a Junior Analytics Engineer to join their analytical foundation for the US Cards team in Greater London. In this role, you'll collaborate across teams to improve data quality and structure, with support to grow your skills in SQL and dbt.

The position offers flexible working conditions, including hybrid roles, and opportunities to contribute to one of the fastest-growing fintech companies. Key responsibilities include building data models and improving transformation processes.

Benefits include health coverage, a retirement plan, and a vibrant workplace culture.