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
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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
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