Real-Time Market Data Engineer: Build Low-Latency Pipelines
Real-Time Market Data Engineer: Build Low-Latency Pipelines

Real-Time Market Data Engineer: Build Low-Latency Pipelines

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain real-time market data pipelines for low-latency systems.
  • Company: Fast-paced financial intelligence startup in the UK.
  • Benefits: Competitive salary, flexible hours, and opportunities for innovation.
  • Why this job: Join a dynamic team and make an impact in the finance tech space.
  • Qualifications: Proficiency in Python, C++, or Java, with market data experience.
  • Other info: Thriving environment that values innovative solutions and career growth.

The predicted salary is between 43200 - 72000 £ per year.

A financial intelligence company in the UK is seeking a Market Data Engineer who thrives in developing robust, low-latency systems. The role involves designing and maintaining real-time market data pipelines, ensuring data integrity, and collaborating with product teams.

The ideal candidate has:

  • Expertise in Python, C++, or Java
  • Experience with market data sources
  • A strong understanding of distributed data architecture

This is an exciting opportunity to work in a fast-paced startup environment where innovative solutions are highly valued.

Real-Time Market Data Engineer: Build Low-Latency Pipelines employer: Intropic

Join a dynamic financial intelligence company in the UK that champions innovation and collaboration. As a Market Data Engineer, you'll benefit from a vibrant work culture that prioritises employee growth and offers opportunities to develop cutting-edge low-latency systems. With a focus on teamwork and creativity, this role provides a unique chance to make a significant impact in a fast-paced startup environment.
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Contact Detail:

Intropic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Real-Time Market Data Engineer: Build Low-Latency Pipelines

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving low-latency systems or real-time data pipelines. This will give potential employers a taste of what you can do.

✨Tip Number 3

Prepare for technical interviews by brushing up on your coding skills in Python, C++, or Java. Practice common algorithms and data structures, as well as system design questions related to distributed data architecture.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Real-Time Market Data Engineer: Build Low-Latency Pipelines

Low-Latency Systems Development
Real-Time Data Pipeline Design
Data Integrity Assurance
Collaboration with Product Teams
Python
C++
Java
Market Data Sources Expertise
Distributed Data Architecture
Innovative Problem Solving
Fast-Paced Environment Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, C++, or Java, and any relevant market data projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about building low-latency systems and how your background makes you a perfect fit for our team. Let us know what drives you!

Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in real-time data processing or distributed systems. We love seeing how you think on your feet and come up with innovative solutions!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to hear from you!

How to prepare for a job interview at Intropic

✨Know Your Tech Inside Out

Make sure you brush up on your Python, C++, or Java skills before the interview. Be ready to discuss specific projects where you've built low-latency systems or worked with market data sources. This will show that you not only understand the theory but have practical experience too.

✨Understand the Company’s Needs

Research the financial intelligence company and its products. Understand their market data pipelines and how they ensure data integrity. This knowledge will help you tailor your answers to demonstrate how you can contribute to their goals.

✨Prepare for Technical Questions

Expect technical questions related to distributed data architecture and real-time data processing. Practice explaining complex concepts in simple terms, as this will showcase your communication skills and ability to collaborate with product teams.

✨Show Your Innovative Side

Since the role is in a fast-paced startup environment, be prepared to discuss innovative solutions you've implemented in past roles. Share examples of how you've tackled challenges creatively, as this aligns with the company's value on innovation.

Real-Time Market Data Engineer: Build Low-Latency Pipelines
Intropic

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