Data Engineer at LemFi

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

0.0

Posted On

25 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Data Quality, Data Governance, Credit Risk, Data Pipelines, Analytics, Regulatory Compliance, Open Banking APIs, Credit Bureau Data, Data Integration, Problem Solving, Collaboration, Technical Curiosity, Attention to Detail

Industry

Financial Services

Description

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. The Role 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 Who You Are 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. The Interview Process Chat with a Talent Partner (30 mins) Behaviours & Culture Interview (45 mins) Technical Assignment (60 mins presentation) Final Interview (30 mins) #LI-AP1 Why Join LemFi? Love shouldn’t be expensive, yet those working hardest for their families often face predatory fees and banking exclusion. We're changing this. 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. You can connect with us on LinkedIn and Instagram and if you haven't already, download the app on the App Store or Google Play. Diversity & Inclusion at LemFi To build the best financial tools for the global diaspora, we need a team that reflects the world we serve. We welcome builders from all walks of life who embody our values over a perfect resume. Don’t meet every single requirement in the job ad? Research shows that candidates from underrepresented backgrounds often hesitate to apply if they don't check every box. If you are excited about this role and our mission, we encourage you to apply anyway. You might be just the right person for this, or other roles.

Responsibilities

You will design, scale, and optimize data pipelines and systems for lending operations, ensuring accuracy and scalability. Your role will involve integrating data sources and maintaining data quality for credit decisioning and portfolio analytics.