Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.
At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts.
We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs - because we know that when we stand together, we move faster and build better.
The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy 📈 Come and join a mission that matters!
[Read our Impact Report] | [See our Trustpilot]
The role ⚡📍 London (Hybrid) | 🤝 2 days in the office | 💰 Competitive Salary + Benefits
The Data Platform team builds and runs the platform that all Funding Circle data teams use. This includes our Snowflake platform, streaming and batch ingestion, orchestration, data contracts and the Data Product Portal.
We are in the middle of a big change. We are moving to Snowflake and to a federated "Data as a Product" model. This role will lead the engineering of that platform
Lead the technical direction of the Data Platform. Turn the target architecture into a clear, sequenced engineering plan, and keep the team aligned to it.
Own the technical quality of the platform: Snowflake infrastructure and RBAC, ingestion patterns, orchestration (Airflow), CI/CD, observability and cost controls.
Make and record technical decisions. Run the decision-document process. Make the final call when the team cannot agree, and escalate cross-domain decisions to the architecture review board.
Grow the team. Mentor engineers, spread knowledge so that no system depends on one person, and set a review culture that is fast and deep.
Make it easy for domain teams, Data Scientists, Analysts and AI Agents to build on the platform. Define standards and reusable patterns. Make sure that DP reviews do not block the domain teams, and work closely with the teams that use the platform.
Lead the platform side of the Athena → Snowflake migration: source landing, reconciliation and cutover evidence, and decommissioning of the legacy platform.
Own operational excellence with the Engineering Manager: on-call quality, alert quality, incident follow-ups, runbooks, and disaster recovery.
Own security and governance controls on the platform with Security and Data Governance.
Manage the technical relationship with platform vendors. This includes support cases, escalations and roadmap input.
Explain technical trade-offs clearly to non-technical stakeholders and data leadership.
Set and evolve the team's standards for AI-assisted engineering, so that tools like Claude and Copilot are used safely and consistently.
Work closely with the Principal Engineer. The Principal owns the cross-domain architecture. You turn it into the platform engineering plan and make sure the team delivers it.
We value deep expertise, but a growth mindset and good energy are what really make our team click. We’re a group that chooses to lift each other up and think smart every day.
8+ years in Data & Analytics, with proven experience as a Senior/Tech Lead setting architectural direction for other engineers
Deep, hands-on knowledge of Snowflake, including ideally Iceberg/open table formats and RBAC.
Advanced SQL, Python, and enterprise-grade dbt model development.
Experience designing end-to-end data pipelines. Combining batch, file-based, and streaming ingestion (Kafka/CDC) managed with Airflow orchestration.
A good understanding of data security and governance, including PII handling and access control.
Strong infrastructure-as-code skills and CI/CD skills.
Track record of writing clear design docs, explaining technical risks to non-technical stakeholders, and making decisions under uncertainty.
Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission
Act as a technical bridge and mentor, training “builders" across the company to move from basic AI usage to sophisticated system creation
Skills we’d love to see:
Data contracts (ODCS/ODPS), data product portals, lineage tools.
Experience in a regulated financial services company.
Experience leading a migration or a large platform change.
PySpark or other distributed processing experience.
We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.
Why join us? 💜We back you to build an incredible career and by joining us, you'll be part of one of The Sunday Times Best Companies to Work For 2026! As a flexible-first employer, we use a "best of both" approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us!
Our Circler Proposition focuses on five areas:
Flexibility: We provide a benefit allowance you can tailor to your own life and family.
Health: This includes private medical and dental, health assessments, and access to a digital GP.
Wealth: We offer life assurance, share schemes, and financial coaching.
Development: You get a dedicated annual learning allowance to help you level up.
Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.
We also have award-winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family.
Ready to join a mission that matters? We’d love to chat!Skills Required
- 8+ years of experience in Data and Analytics
- Experience as a Senior or Technical Lead setting architectural direction for engineers
- Deep hands-on knowledge of Snowflake, including Iceberg or open table formats and RBAC
- Advanced SQL, Python, and enterprise-grade dbt model development
- Experience designing end-to-end batch, file-based, and streaming data pipelines
- Experience with Kafka or CDC and Airflow orchestration
- Understanding of data security and governance, including PII handling and access control
- Strong infrastructure-as-code and CI/CD skills
- Ability to write design documents, explain technical risks, and make decisions under uncertainty
- Ability to architect safe, maintainable custom AI solutions and automated systems
- Ability to mentor and train engineers in sophisticated AI system creation
- Experience with data contracts, data product portals, or lineage tools
- Experience in a regulated financial services company
- Experience leading a migration or large platform change
- PySpark or other distributed processing experience
What We Do
Over the past ten years, Funding Circle has built a machine learning and technology platform that is changing the way small businesses access the financing they need to grow. Business owners can complete a loan application and receive a decision in a matter of minutes, enabling them to get funding quickly at an affordable rate. When small businesses succeed, they create jobs, support local communities, and drive the economy forward - that’s why we care about helping them win. To us, nothing is more important.
Why Work With Us
The traditional banking system is broken, so we’re building a better one. We’ve never been ones for the status quo. We believe in questioning convention, experimenting, innovating, and finding a better way. We believe in those made to do more, and that includes our employees. We seek and hire the best by providing great benefits, perks, and pay.
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