Data Engineer

Propel London Ltd.; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading global fintech firm in the UK is seeking a Data Engineer to build robust data systems. This role involves designing and maintaining data pipelines for credit risk modeling and regulatory requirements. The ideal candidate will have over 2 years of experience with strong SQL and Python skills, and familiarity with data engineering tools like Snowflake and dbt. This position offers an exciting opportunity to contribute to the firm's innovative fintech solutions in a fast-paced environment.

Qualifications

• 2+ years’ experience as a Data Engineer or similar role, ideally in consumer lending or fintech.
• Strong hands-on skills in SQL and Python.
• Experience with data engineering tools like Snowflake, dbt, and Dagster.

Responsibilities

• Design, build, and maintain data pipelines for risk modeling and regulatory reporting.
• Ingest data from core ledger systems and APIs.
• Implement data quality processes and deliver production-ready datasets.

Skills

SQL

Python

Snowflake

dbt

Dagster

Job description

Data Engineer | Fintech | Remote (UK)

Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, that’s redefining financial access for immigrants and international communities worldwide.

Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive financial products all built on modern technology designed to remove friction, reduce cost, and empower users wherever they are.

With operations spanning 15+ countries and integrations with banks, payment providers, and mobile wallets, this company is building the first full-stack financial ecosystem for the world’s immigrant population.

They’re now hiring a Data Engineer to help scale the data infrastructure that powers their rapidly growing lending business.

The Role

This is a hands‑on engineering role for someone passionate about building robust data systems that directly enable smarter, faster, and fairer credit decisions.

You’ll design, develop, and maintain data pipelines that power underwriting, credit decisions and portfolio analytics, working closely with cross‑functional teams in risk, product, and data science.

Your work will sit at the heart of the business, enabling automation, risk monitoring, and data‑driven insights that shape next‑generation credit products for under‑served markets.

What You’ll Do

• Design, build, and maintain data pipelines supporting credit risk modelling, underwriting, and regulatory reporting.
• Ingest and connect data from core ledger systems, credit bureaus, open banking APIs, and third‑party providers.
• Implement robust validation, anomaly detection, and data quality processes.
• Deliver production‑ready datasets that power real‑time decision engines and affordability assessments.
• Collaborate with teams across credit risk, data science, product, and compliance.
• Optimise data infrastructure for performance and scalability.
• Maintain documentation, governance, and access controls in line with regulatory standards.

What You’ll Bring

• 2+ years’ experience as a Data Engineer (or similar), ideally in consumer lending, fintech, or financial services.
• Strong hands‑on skills in SQL, Python, and modern data engineering tools such as Snowflake, dbt, and Dagster.
• Experience handling transactional data, credit bureau data, or open banking APIs.
• Understanding of data quality, lineage, and governance in regulated environments.
• Comfortable working cross‑functionally and turning raw, complex data into clean, production‑ready datasets.
• Curious, collaborative, and energised by working in a fast‑paced, mission‑driven fintech environment.

Why Join?

This is a fantastic opportunity to join one of Europe’s most ambitious fintechs during a period of rapid growth. You’ll be part of a global, mission‑led team that values transparency, ownership, and innovation and you’ll help shape the data infrastructure that powers their expanding credit products.