Market Data Engineer, Intropic
5 days a week in office
Cloud-based data processing
Posted today
Cloud-based data processing
21-100 employees
Posted today
5 days a week in office
21-100 employees
Company mission
To unlock the true power of information.
Role
Who you are
- If you're passionate about financial markets and skilled at developing real-time data pipelines, we’d love to meet you
- 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
Desirable
- 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 the job involves
- We’re seeking a proactive and technically adept Market Data Engineer who thrives in building robust, low-latency systems
- 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
Salary benchmarks
Our take
More data was generated in the last two years than in the entirety of human history. This trend will only continue, and extracting value out of this information will be one of the defining topics of the 21st century.
Intropic's Data Refinery is designed to revolutionise the ease with which companies and enterprises interact with information, starting with the finance industry. According to IBM, more than 70% of companies are lagging in their ability to derive value from the data they collect, meaning they are missing out on the insights and advantages a comprehensive analysis can bring.
Intropic aims to capitalise on this increasingly open and challenging market as more companies seek to develop their data infrastructure and tooling to benefit from the knowledge it holds.
Freddie
Company Specialist at Welcome to the Jungle
Insights
152% employee growth in 12 months
Company
Funding (1 round)
Feb 2022
$25.1m
EARLY VC
Total funding: $25.1m
Company benefits
- Private health insurance
- Dedicated learning budget
Company values
- Thinking with rigour - We are on the constant pursuit of knowledge. Our team is a collective of inquisitive thinkers seeking hidden answers and new ways to solve problems.
- Making theory a reality - It takes vigorous testing to make something truly intuitive. Our team is always hands-on, building things and taking them apart to make sure we find the best possible way for them to work.
- Putting people first - We're not just in the business of information. We're here to help businesses make better decisions that impact the people around them and the world. We don't get lost in the numbers, because we know they always relate back to human nature.
Company HQ
Holborn, London, UK
Leadership
Ravinder Bhadhal
(Co-Founder & CEO)Spent 10 years as the Global Head of Data at Man Group. Started his career at UBS and graduated with Computer Science degree from UCL.
Sam Shannon
(Co-Founder & CPO)Previously a Quantitative Trader at Segantii Capital Management & and at Morgan Stanley. Awarded the Dean’s list in Particle Physics from UCL.
Share this job
View 4 more jobs at Intropic