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.
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