Market Data Engineer
Intropic
Full-time
On-site
London UK, United Kingdom
Who We Are
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.Who We Look ForWe’re seeking a proactive and technically adept Market Data Engineer who thrives in building robust, low-latency systems. If you're passionate about financial markets and skilled at developing real-time data pipelines, we’d love to meet you.
Requirements
- 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 performanceExcellent 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
What You’ll Be Doing
- 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