Head of Data Engineering

Data Engineering Lead | Fintech | London (Hybrid)

A well-funded UK fintech scale-up is building an AI-native SaaS platform used by investment banks, asset managers and hedge funds to make real-time decisions in debt capital markets. Following a recent Series B and a period of rapid growth, they’re investing in their data platform to improve reliability, scale and commercial impact.

This role sits at the core of the product, with clear ownership and the opportunity to shape how data engineering supports both internal teams and customer-facing features.

• Own the technical direction and delivery of the data engineering platform across ingestion, orchestration and warehousing
• Remain hands‑on in the code while leading a small data engineering team as it grows
• Improve platform reliability, observability and data quality to reduce firefighting
  
  Define and deliver a clear, pragmatic roadmap focused on scalability and operational excellence
• Build and evolve customer‑facing APIs, feeds and enrichment pipelines as product capabilities
• Work closely with analytics engineers, analysts and product teams to turn platform work into tangible outcomes

• Strong hands‑on experience owning and operating production data platforms end to end
• Advanced Python skills and solid SQL fundamentals
• Experience with modern orchestration tools (Dagster preferred, Airflow or similar acceptable)
• Cloud‑native background with AWS or GCP (exposure to both is a plus)
• Comfort working in scale‑up environments where structure is still being built
• Some people leadership experience, whether through line management, tech lead responsibility or mentoring
• Nice‑to‑haves include exposure to DBT, data ingestion tooling, or data products and APIs.

• Competitive Base Salary plus equity (c.20%, vesting over four years)
• Hybrid working with 1–2 days per week in a London office near Fenchurch Street
• Flexible working hours with a strong focus on sustainable work‑life balance
• Up to three months per year working abroad
• A growing data and engineering function within a ~400‑person, Series B‑backed business