2 months ago
Analytics Engineer (Fintech)
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Job description
Text:
TL;DR
Analytics Engineer (Python/SQL): Transforming and modelling data using SQL and dbt, while building data workflows and automation tools with Python. Focus on optimizing day-to-day data operations and building high-quality data products.
Location: Hybrid in London (Remote Mondays and Fridays, in-office Tuesday-Thursday)
Company
is a profitable fintech unicorn building technology to help people access credit and save money.
What you will do
- Transform and model data using SQL and dbt.
- Leverage Python to build data workflows and automate internal processes.
- Build tools to optimize day-to-day data operations.
- Develop and maintain data pipelines and ETL processes.
- Collaborate with both technical and non-technical stakeholders to deliver data products.
Requirements
- Experience with SQL and Snowflake or similar modern data platforms.
- Strong, modern Python development experience.
- Background in building data pipelines, ETL processes, or data-intensive backend services.
- Must be based in London to support the hybrid office schedule.
- Excellent communication skills and a collaborative working style.
Nice to have
- Experience working in a cross-functional environment.
Culture & Benefits
- Hybrid work model with flexibility to work from home every Monday and Friday.
- Daily fresh, healthy lunches prepared by in-house chefs (Tuesday-Thursday).
- Competitive compensation package including equity.
- Private health insurance for physical and mental well-being.
- Inclusive and open workspace in the heart of London.
Hiring process
- Initial introductory phone call.
- Take-home coding exercise.
- 60-minute technical video interview.
- 30-minute culture fit interview.
- Final interview.
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