TL;DR

Data Engineer (Fintech): Develop and maintain data processing workflows and analytical products to support data-driven decision making in a high-growth fintech environment with an accent on ETL, SQL, AWS services, and Python. Focus on building scalable data pipelines, integrating internal and third-party data, and delivering actionable business insights.

Location: Hybrid, London hub

Company

%hirify_global% is an FCA-authorised, award-winning fintech based in London focused on revolutionizing personal finance management through AI-led financial planning and intelligent lending products.

What you will do

Develop and maintain data processing workflows and production data pipelines.
Support business and operations teams with data insights and intuitive dashboards.
Integrate internal and third-party data sources and APIs into analytical products.
Optimize existing data workflows and contribute to system improvements.
Document and catalogue data assets and processes.

Requirements

Location: Hybrid role based in London
Bachelor’s degree in mathematics, statistics, computer science or related field.
2-5 years experience in data engineering or related fields.
High proficiency in ETL, SQL, and database management.
Experience with AWS services such as Glue, Athena, Redshift, Lambda, and S3.
Python programming skills with data libraries like pandas and numpy.
Interest in machine learning and data analytics techniques.
Ability to work independently with business impact focus.

Nice to have

Experience in startup or fintech environments.
Hands-on experience or awareness of ML-AI implementation or ML-Ops.
AWS foundation certification.

Culture & Benefits

Opportunities for ownership and working on high-impact projects.
Fast career growth with exposure to multiple business areas.
Work with cutting-edge technologies and innovative ideas.
Collaborative environment with flat hierarchy and leadership access.
Dynamic and fast-paced work environment.
Mission-driven company focused on financial fairness.