Data Engineer

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 decisioning, 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 underserved markets.

What You’ll Be Doing

• Design, build, and maintain scalable data pipelines supporting credit risk modelling, underwriting, and portfolio management.
• Ingest data from diverse sources - including ledgers, transaction systems, credit bureaus, open banking APIs, and third-party providers.
• Implement automated processes for data validation, anomaly detection, and quality control to ensure accuracy and reliability.
• Deliver production-ready datasets that power credit decision engines and affordability models in real time.
• Partner with cross-functional teams (credit risk, data science, product, compliance) to understand business requirements and deliver tailored data solutions.
• Monitor infrastructure performance, optimise for scalability, and troubleshoot issues proactively.
• Maintain documentation of data flows, transformations, and business logic, supporting strong governance and compliance 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.

If you're a Data Engineer, based in the UK, looking for your next opportunity, we'd love to hear from you!