Data EngineerLemfi

You will be the engine behind our lending data infrastructure. Your primary focus will be designing, scaling, and optimising the data pipelines and systems that power our underwriting, credit decisioning, and portfolio analytics.

You won't just be moving data; you will architect the foundations that make credit automation, risk monitoring, and regulatory reporting seamless, ensuring our lending operations remain fast, accurate, and scalable across markets.

How You'll Contribute

• Engineer & Optimise: Design, build, and maintain scalable, reliable data pipelines supporting credit risk modelling, underwriting, portfolio monitoring, and regulatory reporting.
• Integrate Data Sources: Connect and ingest data from ledger systems, transaction processors, credit bureaus, open banking APIs, and other third-party providers.
• Ensure Data Quality: Implement robust processes for accuracy, completeness, validation, anomaly detection, and overall data integrity.
• Enable Decisioning: Deliver production-ready datasets that power credit decision engines, risk models, affordability assessments, and real-time analytics.
• Collaborate Cross-Functionally: Work closely with credit risk, analytics, data science, product, and compliance teams to translate requirements into data solutions.
• Maintain Resilience: Monitor and optimise data infrastructure performance, troubleshoot issues, and ensure reliability at scale.
• Document & Govern: Maintain clear documentation of data flows, pipelines, and business logic, supporting data governance and regulatory compliance

• Detail-Oriented: You care deeply about data accuracy, consistency, and reliability, especially in regulated environments.
• Analytical: You enjoy solving complex data problems and turning messy inputs into clean, trustworthy datasets.
• Technically Curious: You seek to understand systems end-to-end and stay engaged with emerging data engineering practices.
• Collaborative: You communicate clearly with technical and non-technical stakeholders, prioritising shared outcomes.
• Adaptable: You thrive in a fast-paced, high-growth environment and embrace ambiguity with a problem-solving mindset.

What You'll Bring

• 1-3 years of experience as a Data Engineer or similar role, ideally within UK consumer lending, fintech, or financial services .
• Strong hands-on experience with SQL, Python , and data engineering tools such as Snowflake, dbt, Dagster , or similar frameworks.
• Experience working with transactional data, credit bureau data, and open banking APIs .
• A solid understanding of data quality, lineage, governance, and security in regulated environments.
• Demonstrated ability to turn business and credit requirements into scalable, production-ready data solutions .
• Excitement about building systems that directly impact risk management and customer experience .

LemFi (Series B) is building the go-to financial app for the Global South. Moving to a new country shouldn't mean starting from zero. That's why our team of 400+ spanning 20+ countries is building a financial ecosystem that helps immigrants stay connected to home, build stability, and create wealth regardless of where they are from or where they live. What began as fast, affordable remittances is now evolving into a complete platform for multi-currency accounts, payments, credit, and long-term financial growth. With over 2 million users across the globe, we process over $1.5B in monthly transactions to 30+ countries , proving that borders shouldn't limit financial opportunity., At LemFi, you won't be just a cog in a machine. Whether designing products, scaling operations, or telling our story, you'll tackle complex challenges with real, immediate impact. Your work goes beyond metrics - it puts money back in families' pockets and offers access to the previously excluded. Join us to make a meaningful difference, where high performance is a lifeline for millions. Our Values: How We Win * Sharp Customer Focus We cut through the noise and prioritize ruthlessly based on what drives real value. * Lead with Data We trade instinct for insight. We test, analyze, and own the outcomes. * Ownership We take responsibility for global outcomes, not just local wins. * Grit We navigate ambiguity with resilience and keep pushing until the customer feels the impact.