Senior Data Engineering Manager x1 day a week in London office
We're partnered with a leading European digital platform who are at the cutting edge of data-driven product innovation. With an ambitious, product-led strategy and large-scale investments in technology, theyre building some of the most advanced real-time data platforms in the industry.
This is a management first but highly technical leadership role perfect for a senior engineering leader with a background in real-time, event-driven architecture and a passion for building high-performing teams. Were open to a Principal IC who has mentored others if they have headed up real-time dynamic pricing engineering builds.
As a Senior Engineering Manager, youll lead a cross-functional team responsible for delivering complex, high-volume data products that power dynamic pricing and sports modelling capabilities across a large-scale platform. These products feed directly into live environments where performance, accuracy and speed are business-critical.
Youll manage both people and programs, guiding quarterly planning cycles, unblocking technical delivery, owning roadmaps, and supporting professional growth within the team. Proven leadership experience managing engineering teams, ideally within quantitative, pricing, or data science domain. Experience overseeing delivery of large-scale, data-driven products from prototype through to production in complex environments.
Strong technical understanding of real-time event-driven data processing systems including Kafka or similar frameworks.
Hands-on knowledge (past or present) of Java and AWS-based cloud environments, with an understanding of scalable system design.
able to engage across senior business, product, and engineering stakeholders.
Experience in setting engineering strategy, team direction, and owning long-term goals and outcomes.
Familiarity with Agile delivery, release planning, and quarterly OKRs.
Prior experience leading managers or principal/staff-level engineers.
Background working in environments focused on live pricing, sports modelling, or financial engineering.
Postgraduate degree (MSc or PhD) in a STEM field.
Leading and scaling a team of engineers focused on delivering high-performance quantitative models into production environments.
Defining strategic goals and setting quarterly engineering milestones in partnership with product and senior stakeholders.
Owning cross-functional planning and delivery for engineering workstreams across multiple squads.
Overseeing the build and evolution of scalable frameworks, real-time systems, and data assets to support quant model deployment.
Managing technical risks, resolving blockers, and ensuring team alignment with wider engineering functions.
Acting as a visible ambassador for engineering excellence, both internally and externally.
