Market Data Engineer

Intropic; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A rapidly growing start-up in the City of London is seeking a Data Engineer to design and maintain real-time market data pipelines. The ideal candidate has a degree in Computer Science or related field, proficiency in Python, and experience with market data sources. Join us to be part of our mission to unlock the true power of information.

Qualifications

• Proficiency in Python and familiarity with C++ or Java.
• Solid understanding of real-time feed handling and distributed data architecture.
• Hands-on experience with market data sources and cloud platforms.

Responsibilities

• Design, develop, and maintain data pipelines from various sources.
• Ensure high data integrity and system availability.
• Monitor metrics and build tools for data access.

Skills

Python

C++ or Java

Real-time feed handling

Message protocols

Distributed data architecture

Data pipeline building

Education

Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field

Tools

Bloomberg

Refinitiv

AWS

GCP

Kafka

Job description

Overview

We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning. Read a spotlight on Intropic here. Join us to help the world unlock the true power of information.

Responsibilities

• Design, develop, and maintain real-time and historical market data pipelines from various sources
• Ensure high data integrity and system availability while handling large-scale data processing
• Monitor key metrics and build tools to streamline data access and operations
• Collaborate across product teams to align infrastructure with strategic needs
• Deliver clean, well-tested, and maintainable code in a fast-paced startup environment

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field
• Proficiency in Python plus strong familiarity with C++ or Java
• Solid understanding of real-time feed handling, message protocols, and distributed data architecture
• Hands-on experience with market data sources (e.g., Bloomberg, Refinitiv) and familiarity with cloud platforms (e.g. AWS, GCP) and technologies like Kafka
• Skilled in building scalable data pipelines (ETL, streaming) and ensuring data quality, integrity, and performance
• Excellent attention to detail, problem-solving mindset, and ability to manage tight SLAs
• Effective communicator with strong stakeholder collaboration skills

Nice to have

• Comfortable implementing monitoring, self-service tools, and operational dashboards
• Experience in quant finance or working with trading and research teams
• Background in systems performance optimization and high-throughput data environments