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For Companies At a Glance
- Tasks: Design and develop real-time market data pipelines to drive innovation.
- Company: Fast-growing start-up backed by top venture capitalists.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Join us in unlocking the true power of information in finance.
- Qualifications: Degree in Computer Science or related field; Python proficiency required.
- Other info: Dynamic start-up culture with a focus on collaboration and impact.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Who We Are
At Intropic, we’re building the future of financial intelligence, where deep market expertise meets the power of AI. Founded in London’s financial centre of Canary Wharf, we exist to transform complex data into clarity, precision, and action. Our culture is shaped by truth‑seeking, velocity, and ownership, values that drive how we build, learn, and collaborate every day. We move fast, think independently, and hold ourselves to the highest standards of integrity and impact. Here, curiosity isn’t just encouraged, it’s essential. If you’re driven by challenge, inspired by innovation, and ready to amplify your intelligence alongside a team of exceptional thinkers, Intropic is where your ideas can truly compound.
Who We Look For
We’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 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
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
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Market Data Engineer employer: Intropic
Contact Detail:
Intropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Market Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or market data sources. We love seeing real-world applications of your expertise, so make sure to highlight your Python, C++, or Java work!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data architecture. We recommend practicing common algorithms and data structures, as well as being ready to discuss your experience with cloud platforms and ETL processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to help us unlock the true power of information.
We think you need these skills to ace Market Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Market Data Engineer role. Highlight your experience with Python, C++, or Java, and any relevant market data sources you've worked with. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include any projects that demonstrate your ability to build scalable data pipelines or handle real-time data feeds. If you've got experience with cloud platforms like AWS or GCP, let us know! This will help us see your practical skills in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Intropic
✨Know Your Tech Stack
Make sure you brush up on your Python, C++, and Java skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building data pipelines or handling real-time feeds.
✨Showcase Your Data Experience
Prepare examples of your hands-on experience with market data sources like Bloomberg or Refinitiv. Discuss any projects where you ensured data integrity and system availability, as this will resonate well with the company's focus on high-quality data processing.
✨Understand the Company’s Vision
Familiarise yourself with the company’s mission to unlock the power of information. Think about how your skills can contribute to their goals in finance and capital markets, and be ready to share your thoughts during the interview.
✨Communicate Effectively
Since collaboration is key in a startup environment, practice articulating your ideas clearly. Prepare to discuss how you've worked with cross-functional teams in the past and how you can align infrastructure with strategic needs.
