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

Hunter Bond; Greater London; Hybrid; GBP 112,000 - 147,000; Full time

Job summary

Hunter Bond is seeking a Senior Full Stack Engineer to design, develop and support market data platforms within a Global Markets environment. The role covers front-end applications, back-end services, APIs and data layers to deliver scalable, reliable solutions for market data analytics and distribution.

The ideal candidate has strong full-stack capabilities, experience with large datasets and distributed systems, and can collaborate across trading, analytics and data teams.

Qualifications

• Strong full-stack development across front-end, back-end, and data layers.
• Proficiency in Python or polyglot back-end development.
• Experience designing and consuming REST APIs and/or gRPC services.
• Hands-on with MongoDB, HBase or similar distributed data stores.
• Strong debugging, analytical and problem-solving in production.
• Experience with large data sets and data-intensive applications.
• Excellent communication and collaboration across teams.

Responsibilities

• Design, develop and maintain full-stack applications across UI, APIs and databases.
• Build market data platforms for analytics, distribution and downstream consumption.
• Develop and integrate APIs using REST and gRPC.
• Work with NoSQL data stores like MongoDB and HBase.
• Troubleshoot production issues and perform RCA to resolution.
• Collaborate with Front Office trading and analytics teams.

Skills

Python

gRPC

MongoDB

HBase

REST

Frontend

Backend

Distributed systems

NoSQL

Job description

Hunter Bond is seeking a Senior Full Stack Engineer to design, develop and support market data platforms within a Global Markets environment. The role covers front-end applications, back-end services, APIs and data layers to deliver scalable, reliable solutions for market data analytics and distribution.

The ideal candidate has strong full-stack capabilities, experience with large datasets and distributed systems, and can collaborate across trading, analytics and data teams.