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2 months ago

Python Analytics Engineer (Fintech)

Work format
hybrid
Work type
fulltime
Grade
middle
English
b2
Country
UK
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Python Analytics Engineer (Fintech): Transforming and modelling data using SQL and dbt to build high-quality data products with an accent on automation and Python-based workflows. Focus on building scalable data pipelines, optimizing Snowflake performance, and designing efficient ETL processes.

Location: Hybrid (London); must be based in London and available to work from the office Tuesday through Thursday

Company

Fintech unicorn building advanced technology to help people access credit and save money across the UK and US markets.

What you will do

  • Transform and model data using SQL and dbt.
  • Build data workflows and automate processes leveraging Python.
  • Develop tools to optimize day-to-day operational efficiency.
  • Design and maintain data pipelines and ETL processes.
  • Collaborate with technical and non-technical stakeholders to deliver high-quality data products.

Requirements

  • Strong technical fundamentals and modern Python development experience.
  • Proficiency with SQL and Snowflake or other modern data platforms.
  • Experience building and maintaining data pipelines or data-intensive backend services.
  • Excellent communication skills and a collaborative mindset.
  • Must be based in London for hybrid office attendance.

Nice to have

  • Experience working within cross-functional environments.

Culture & Benefits

  • Hybrid work arrangement: work from home every Monday and Friday.
  • In-house chefs providing fresh, healthy lunches in the office (Tue-Thu).
  • Best-in-class compensation package, including equity.
  • Private health insurance coverage.
  • Inclusive and open workspace environment.

Hiring process

  • Introductory phone call with the team.
  • Asynchronous short coding exercise.
  • 60-minute technical video interview.
  • 30-minute culture interview.
  • Final interview.

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