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For Companies At a Glance
- Tasks: Design and build secure, intelligent infrastructure to combat financial crime.
- Company: Dynamic FinTech startup with a mission-driven culture.
- Benefits: Competitive salary, equity, hybrid work, and impactful projects.
- Why this job: Join a high-impact team tackling financial fraud with innovative technology.
- Qualifications: 5+ years in data engineering and experience with sensitive financial data.
- Other info: Founding-level ownership and opportunities for career growth.
The predicted salary is between 72000 - 84000 £ per year.
Founding Platform / Data Engineer (Agentic AI) at a FinTech Startup. Hybrid-Remote: Central London (3 days per week, City). Salary: £90,000 - £100,000 + Equity + Benefits.
Did you know financial fraud costs the UK economy £200bn+ per year, accounting for over 40% of crime in England and Wales? This early-stage FinTech is on a mission to fight financial crime and reduce scams in online payments.
The Company:
- ~20 people total, 10 Engineers operating across UK and Africa
- ~ Mission-driven, high-ownership culture
- ~ Working with highly sensitive financial data
They are building secure, intelligent infrastructure at the intersection of data, AI, and financial services and are now looking for a Platform Data Engineer (Agentic AI) to help architect the backbone of this.
The Role:
Think secure, fault-tolerant, compliant infrastructure designed for sensitive financial data. Multi-agent orchestration meets robust data engineering. This is a hands-on role for someone who can design the system and build it, shaping how agentic AI operates in a regulated fintech environment.
Tech Snapshot:
- GCP
- Terraform
- RAG Pipelines
- Agentic AI
- Langchain
- incident.io
- PostHog
What They’re Looking For:
- Agent Infrastructure / Workflow Orchestration: Experience designing and shipping LLM-powered systems into production / Multi-agent architectures & orchestration frameworks
- Data Engineering: Experience building RAG pipelines over structured & unstructured datasets / Knowledge graph design / Strong SQL & data modelling skills
- Security Foundations: Experience building systems that handle sensitive financial data responsibly
Experience Profile:
- ~5+ years experience
- ~ Comfortable structuring your own work and acting as a strong technical voice
- ~ Background in early-stage startups, you thrive in ambiguity
- ~ Fluent in speed vs precision trade-offs
- ~ FinTech experience is a plus
Startup experience is essential. You need to bring clarity where there isn’t any yet, and build scalable, secure AI infrastructure from the ground up.
Why Join?
- Founding-level ownership
- Real equity
- High-impact mission
- Work on meaningful financial crime problems
- Shape reliability across a growing, international team
If you want to build resilient infrastructure that directly reduces financial crime, this is your chance. Hit apply with your latest CV!
Platform Data Engineer (Agentic AI) in City of London employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Data Engineer (Agentic AI) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work at startups. Use LinkedIn to connect and engage with them; you never know who might have a lead on that Platform Data Engineer role.
✨Tip Number 2
Show off your skills! If you've got experience with GCP, Terraform, or building LLM-powered systems, create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of financial data security and compliance. Be ready to discuss how you've handled sensitive data in the past and how you can contribute to their mission of fighting financial crime.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team and making an impact in the FinTech world.
We think you need these skills to ace Platform Data Engineer (Agentic AI) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Platform Data Engineer. Highlight your experience with GCP, Terraform, and any relevant projects that showcase your skills in building secure, compliant infrastructure.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about fighting financial crime. Share specific examples of how your background aligns with our mission and the unique challenges we face in the fintech space.
Showcase Your Startup Experience: We love candidates who thrive in early-stage environments! Make sure to highlight your startup experience and how you've navigated ambiguity while delivering impactful results.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures your details land in the right hands!
How to prepare for a job interview at Few&Far
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like GCP, Terraform, and RAG pipelines. Be ready to discuss your hands-on experience with these tools and how you've used them to build secure, compliant systems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguity in previous roles, especially in early-stage startups. Highlight specific challenges you faced and how you designed solutions that improved data security or efficiency.
✨Understand Financial Crime
Research the impact of financial fraud and scams in the UK. Being able to articulate why this mission matters will show your passion for the role and align you with the company's values.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to building AI infrastructure and handling sensitive data. This not only shows your interest but also helps you gauge if the company culture aligns with your values.