Analytics Engineer (Fintech)

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

hirify.global 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.