Lead Engineer C++ / Market Data (£100 -£120,000 + Bonus) in London

Lead Engineer C++ / Market Data (£100 -£120,000 + Bonus) in London

London Full-Time 100000 - 120000 € / year (est.) Home office (partial)
Volition

At a Glance

  • Tasks: Lead a team to build and optimise high-performance market data systems using C++.
  • Company: Join a dynamic Capital Markets FinTech with a focus on innovation.
  • Benefits: Competitive salary, bonus, and flexible work arrangements in a collaborative environment.
  • Other info: Opportunity for career growth and leadership in a cutting-edge tech environment.
  • Why this job: Make a real impact in the fast-paced world of market data and trading systems.
  • Qualifications: 5+ years in software engineering with strong C++ skills; Python knowledge is a plus.

The predicted salary is between 100000 - 120000 € per year.

We’re supporting a Capital Markets FinTech hiring a Market Data Team Lead/ C++ Developer to build and optimise market data systems. You’ll work across high-performance data pipelines, cloud environments, and large-scale tick data storage, with a strong emphasis on C++ engineering.

Key Responsibilities

  • Build and optimise high-performance tick data pipelines using C++.
  • Remain hands on before stepping into managerial/leadership position of small team of engineers.
  • Work with timeseries databases for fast storage and retrieval of market data.
  • Use Parquet-based storage formats for efficient large-scale data handling.
  • Collaborate with engineering teams to define and deliver market-data requirements.
  • Implement strong data-validation, monitoring, and reliability mechanisms.
  • Continuously reduce latency and improve throughput for workflows.

Requirements

  • 5+ years in software engineering, ideally within market data or trading systems.
  • Strong skills in C++ (and Python is a plus).
  • Experience with timeseries data pipelines.
  • Familiarity with AWS cloud and containerised environments (e.g., Kubernetes).
  • Knowledge of exchange protocols.
  • Background in capital markets or trading systems beneficial.

£100-£120,000 base + bonus. 2 days in London office per week.

Lead Engineer C++ / Market Data (£100 -£120,000 + Bonus) in London employer: Volition

As a leading player in the Capital Markets FinTech sector, we pride ourselves on fostering a dynamic and innovative work environment that empowers our employees to excel. With competitive salaries, performance bonuses, and a strong focus on professional development, we offer unique opportunities for growth while working on cutting-edge technology in a collaborative team setting. Our London office provides a vibrant atmosphere where creativity thrives, making it an excellent place for those looking to make a meaningful impact in the financial technology landscape.

Volition

Contact Detail:

Volition Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Engineer C++ / Market Data (£100 -£120,000 + Bonus) in London

Tip Number 1

Network like a pro! Reach out to your connections in the capital markets and FinTech space. Attend meetups or webinars where you can chat with industry folks and get the inside scoop on job openings.

Tip Number 2

Show off your skills! If you’ve got a GitHub or portfolio showcasing your C++ projects, make sure to highlight them. Potential employers love seeing real examples of your work, especially in high-performance data systems.

Tip Number 3

Prepare for technical interviews by brushing up on your C++ knowledge and market data concepts. Practice coding challenges and be ready to discuss your past experiences with timeseries databases and cloud environments.

Tip Number 4

Don’t forget to apply through our website! We’re always looking for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Lead Engineer C++ / Market Data (£100 -£120,000 + Bonus) in London

C++
Python
Market Data Systems
High-Performance Data Pipelines
Timeseries Databases
Parquet-based Storage Formats
Data Validation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with C++ 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 passionate about market data and how your background makes you the perfect fit for our team. Keep it engaging and personal.

Showcase Your Technical Skills:When filling out your application, be specific about your technical skills, especially in C++ and Python. Mention any experience with timeseries databases or cloud environments like AWS, as these are key for us.

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’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Volition

Know Your C++ Inside Out

Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific projects where you've built or optimised high-performance systems, especially in market data contexts. They’ll likely want to see how you approach problem-solving with C++.

Familiarise Yourself with Market Data Concepts

Since this role is heavily focused on market data, it’s crucial to understand key concepts like tick data, timeseries databases, and data pipelines. Be ready to explain how you’ve worked with these in the past and how you can apply that knowledge to their systems.

Show Your Leadership Potential

Even if you're applying for a hands-on role, they’ll be looking for someone who can step into a leadership position. Prepare examples of how you've led projects or mentored others, and think about how you would manage a small team of engineers.

Get Comfortable with Cloud Technologies

Since they’re using AWS and containerised environments, make sure you can talk about your experience with these technologies. If you’ve worked with Kubernetes or similar tools, highlight that experience and be ready to discuss how you’ve used them to improve system performance.