At a Glance
- Tasks: Lead a team in developing high-performance market data processing systems.
- Company: Fast-growing FinTech innovator in London with a collaborative culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on cutting-edge technology and data solutions.
- Why this job: Make an impact in the finance world while solving complex engineering challenges.
- Qualifications: Strong C++ and Python skills, with experience in Agile environments.
The predicted salary is between 80000 - 100000 € per year.
Hybrid – London | Global FinTech Innovator
Our client is an established yet fast-growing FinTech specialising in high-performance market data analytics. Their platform ingests and processes terabytes of global trading data daily, powering decision-making for leading investment firms, exchanges, and research institutions. They’re now seeking a Market Data Engineering Lead to take ownership of their equities data pipelines and infrastructure, helping scale the next generation of data-processing systems within a collaborative engineering leadership team. This role offers a 50/50 split between hands-on coding and technical leadership — ideal for someone who thrives on solving deep engineering challenges while guiding a small team to deliver best-in-class data solutions.
The Role
- Lead development for the firm’s equities data processing platform, working alongside other engineering leads and a senior architect.
- Plan and execute two-week Agile sprints, define priorities, and manage workloads across developers.
- Take full ownership of project lifecycles — from requirements gathering to design, implementation, testing, and deployment.
- Develop and refine C++ market-data parsers and processing engines that handle high-frequency and reference data at scale.
- Partner with product and operations stakeholders to define technical roadmaps and onboard new data sources.
- Enhance system performance, fault-tolerance, and scalability, leveraging modern AWS-based distributed infrastructure.
- Offer technical mentorship, conduct reviews, and help engineers overcome blockers.
- Participate in a light-touch support rotation to ensure smooth daily operation of the firm’s data feeds.
About You
- Proven track record leading or mentoring software engineers within an Agile environment.
- Strong C++ development experience on Linux, delivering robust, performant systems into production.
- Solid Python capability for orchestration, data tooling, and process automation.
- Experience with large-scale financial or market data, particularly equities or other exchange-traded products.
- Familiarity with modern engineering practices — CI/CD, source control, automated testing, and containerised deployment.
- Excellent communication, organisational, and problem-solving skills.
Contact: For further details or a confidential discussion about this opportunity, please reach out to Ciara Clarke at Harrington Starr.
Lead C++ Technical Team Lead employer: Harrington Starr
As a global FinTech innovator based in London, our client offers an exceptional work environment that fosters collaboration and creativity. Employees benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth within a fast-paced industry. The company values technical excellence and provides a platform for engineers to tackle complex challenges while leading a talented team, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead C++ Technical Team Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, especially those who work with market data or C++. A casual chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your C++ projects, make sure to share it. It’s a great way to demonstrate your hands-on coding abilities and technical leadership experience.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and your experience with high-frequency data systems. Be ready to discuss how you’ve led teams and tackled engineering challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Lead C++ Technical Team Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your C++ experience and leadership skills. We want to see how you've tackled engineering challenges and led teams in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about market data analytics and how your background aligns with our needs. We love seeing genuine enthusiasm for the role.
Showcase Your Projects:If you’ve worked on relevant projects, especially in financial or market data, make sure to mention them. We’re keen to see examples of your work that demonstrate your problem-solving skills and technical expertise.
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 this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Harrington Starr
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be ready to discuss your past projects and how you've tackled challenges in high-performance systems. They’ll want to see your technical depth, so prepare to dive into specifics about your coding experience.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading a team, be prepared to share examples of how you've successfully guided others in an Agile environment. Think about times when you’ve helped engineers overcome obstacles or improved team dynamics.
✨Understand the FinTech Landscape
Familiarise yourself with the latest trends in financial technology, especially around market data analytics. Being able to discuss how your experience aligns with their needs will show that you’re not just technically proficient but also industry-savvy.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think through potential challenges they might face with their data pipelines and be ready to suggest solutions. This will demonstrate your critical thinking and technical acumen.
