Lead C++ Technical Team Lead

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. 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. 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.