Senior Full Stack Python Engineer - Up to £700 per day

Hunter Bond; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Hunter Bond is seeking a Senior Full Stack Engineer to build and support market data platforms in a financial markets technology setting. You will work across UI, APIs and data layers to deliver end-to-end solutions for analytics, distribution and consumption workflows.

The role emphasizes high-performance, production-critical environments with a focus on scalability, RCA, and collaboration with trading, analytics and data teams to translate complex requirements into robust software.

Qualifications

• Proven full-stack development across UI, backend APIs and data stores.
• Experience with Python or polyglot backend development.
• Experience building and consuming REST APIs and/or gRPC services.
• Hands-on with NoSQL databases such as MongoDB or HBase.
• Strong debugging and RCA skills in production environments.

Responsibilities

• Design, develop and maintain full-stack applications across UI, backend services and data layers.
• Build market data platforms supporting analytics, distribution and consumption use cases.
• Develop APIs and services using modern technologies, including gRPC.
• Work with large-scale data stores to manage structured and semi-structured market data.
• Troubleshoot production issues and drive fixes to resolution.
• Translate business requirements into scalable technical solutions.
• Collaborate with trading, analytics and data teams to deliver robust solutions.
• Contribute to platform improvements, performance optimisation and scalability.

Skills

Full-stack development

Python

REST/gRPC

NoSQL (MongoDB/HBase)

Production debugging

Root Cause Analysis

Data-intensive applications

Tools

MongoDB

HBase

gRPC

REST APIs

Job description

We are seeking a Senior Full Stack Engineer to build and support market data platforms within a financial markets technology environment. The role focuses on developing end-to-end solutions across UI, APIs and data layers, supporting critical market data analytics, distribution and consumption workflows.

The ideal candidate will have strong full-stack development experience, exposure to market data systems and the ability to deliver scalable solutions in high-performance, production-critical environments.

Key Responsibilities

• Design, develop and maintain full-stack applications across UI, backend services and data layers.
• Build and enhance market data platforms supporting analytics, distribution and consumption use cases.
• Develop APIs and services using modern technologies, including gRPC, for efficient data access.
• Work with large-scale data stores, such as MongoDB, HBase or similar technologies, to manage structured and semi-structured market data.
• Troubleshoot production issues, perform root cause analysis (RCA) and drive fixes through to resolution.
• Translate ambiguous business requirements into practical, scalable technical solutions.
• Collaborate with trading, analytics and data teams to deliver robust solutions.
• Contribute to platform improvements, performance optimisation and system scalability.

Must-Have Skills

• Strong full-stack development experience across UI, backend APIs and databases.
• Proficiency in Python or polyglot backend development.
• Experience building and consuming REST APIs and/or gRPC services.
• Hands-on experience with NoSQL databases, such as MongoDB, HBase or similar.
• Strong debugging and problem-solving skills in production environments.
• Proven ability to own technical issues end-to-end, including RCA and resolution.
• Experience working with large datasets and data-intensive applications.

Domain Experience

• Understanding of Front Office trading environments, including Fixed Income, FX and derivatives.
• Strong knowledge of market data concepts, trade lifecycles, data flows and risk/pricing dependencies on market data.
• Experience with enterprise trading and market data platforms.
• Understanding of regulatory and compliance considerations within financial services.

Technical & Data Stack

• Experience with MongoDB, HBase or similar distributed data stores.
• Familiarity with gRPC-based services and high-performance communication.
• Understanding of market data modelling, including metadata-heavy schemas, instrument data and FRTB taxonomies.
• Experience integrating analytics platforms and downstream systems.
• Exposure to polyglot architectures and distributed systems.

Good-to-Have

• Experience with market data platforms or vendor data systems.
• Exposure to data streaming or real-time processing frameworks.
• Familiarity with cloud and distributed infrastructure environments.
• Previous experience in global banking or financial services.

Experience:

Approximately 9-15 years, with flexibility for candidates demonstrating strong technical and relevant domain expertise.