Data Engineer | Fintech | Remote (UK based)
Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, thats 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 worlds immigrant population.
You are someone who thrives in a fast-paced fintech environment where honesty and transparency are the foundation of how we work. We are looking for a Credit Data Engineer to join our team and help build, scale, and optimise the data infrastructure at the core of our lending business.
This is a hands-on engineering role, ideal for someone who thrives on building and maintaining robust data pipelines that power underwriting, credit decisioning, and portfolio analytics. Youll work closely with credit risk, product, and data science teams to deliver the data foundations that enable innovative credit products and actionable insights.
Your work will directly influence our ability to automate decisions, monitor performance, manage risk, and deliver a best-in-class lending experience. You will join our growing Data team, with your focus dedicated to work with the Credit business unit.
Design, build, and maintain data pipelines that support credit risk modelling, underwriting, portfolio management, and regulatory reporting.
Connect and ingest data from core ledger systems, transaction processors, credit bureaus, open banking APIs, and third-party providers.
Implement and maintain robust processes to ensure data accuracy, completeness, and reliability. Implement automated checks, anomaly detection, and data validation routines.
Deliver production-ready datasets that power credit decision engines, risk models, and affordability assessments in real time.
Work closely with credit risk, analytics, data science, product, and compliance teams to understand requirements and deliver fit-for-purpose data solutions.
Monitor data infrastructure, optimise for scalability and performance, and troubleshoot issues as they arise.
Maintain clear documentation of data flows, pipelines, and business logic. Support data governance and access controls in line with regulatory requirements.
2+ years experience as a Data Engineer, or similar role, preferably within UK consumer lending, fintech, or financial services
~ Hands-on experience with building data pipelines, use of SQL, Python, and relevant data engineering tools (e.g.,Comfortable working with transactional data, credit bureau data, and open banking APIs.
~ Understand the importance of and implement solutions for data quality, lineage, and security in a regulated environment.
~ Enjoy collaborating with cross-functional teams and turning messy real-world data into clean, reliable, production-ready datasets.
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