Senior Python Full-Stack Engineer — Market Data Platforms (Hybrid London)

Hunter Bond

Greater London

Hybrid

GBP 77,000 - 129,000

Full time

25 hours ago
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Job summary

Hunter Bond is seeking an experienced Senior Full Stack Engineer to design, develop and support market data platforms within a Global Markets context. You will work on end-to-end solutions spanning front-end, backend, APIs and data layers in production-grade environments.

The role emphasizes Python backend and NoSQL data stores, with gRPC REST APIs, and collaboration with trading and data teams to deliver scalable, reliable analytics platforms.

Qualifications

  • Experience designing and maintaining full-stack applications spanning UI, backend services, APIs and data layers.
  • Strong background in market data platforms, data analytics and production-grade systems.
  • Proficiency with Python and polyglot backend development is preferred.
  • Hands-on experience with NoSQL databases (MongoDB, HBase) and distributed data stores.
  • Experience building scalable, reliable APIs, including REST and gRPC.
  • Strong debugging, analytical and problem-solving skills in production environments.

Responsibilities

  • Design, develop and maintain full-stack applications spanning user interfaces, backend services, APIs and databases.
  • Build and enhance market data platforms supporting analytics, data distribution and downstream consumption.
  • Develop and integrate APIs and services using REST and gRPC.

Skills

Full stack engineering
Python
gRPC
NoSQL
MongoDB
HBase
REST APIs
Distributed systems
Debugging
Collaboration

Tools

MongoDB
HBase
gRPC
REST

Job description

Hunter Bond is seeking an experienced Senior Full Stack Engineer to design, develop and support market data platforms within a Global Markets context. You will work on end-to-end solutions spanning front-end, backend, APIs and data layers in production-grade environments.

The role emphasizes Python backend and NoSQL data stores, with gRPC REST APIs, and collaboration with trading and data teams to deliver scalable, reliable analytics platforms.

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