Senior ML/Data Engineer, Catapult Sports

• If you have built data infrastructure at scale — time-series, feature serving, graph — and you care deeply about whether the systems you build are actually trustworthy, not just functional, this is the role that will define your next chapter
• 5+ years of production data engineering at scale, time-series databases, data lakes, feature stores in a real-time or near-real-time environment
• Experience building probabilistic evaluation frameworks or model calibration infrastructure, you understand the difference between a model that works and a model that is trustworthy
• Strong Python, Golang and SQL; experience with streaming ingestion (not batch-only) for live sensor or IoT data
• Graph database experience: you have designed schemas for complex relationship networks, not just queried existing ones
• Production experience with tenant-level data isolation at the infrastructure level, not just access control
• Comfort working directly with domain scientists and AI engineers; you translate data requirements into durable infrastructure, not just pipelines
• Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team

Desirable

• Catapult Sports is the global leader in athlete performance technology, trusted by elite clubs and national programs across every major sport on every continent. Our hardware and software platforms are on the training ground and in the arena with the best teams in the world — and we have been there, continuously, for over two decades
• We are now building the AI layer that compounds everything Catapult has ever measured. The goal is ambitious: to become the indispensable intelligence partner for every coach and athlete in every sport — a system that connects the full depth of performance data and surfaces the right insight at the right moment, with the confidence to act on it
• This role is the data foundation of that platform. You will own the infrastructure every AI agent reasons over: the data architecture, the feature store, the sport knowledge graph, and the evaluation framework that makes every recommendation trustworthy before it reaches a practitioner
• This is not a support role or a pipeline maintenance job. It is the highest-leverage engineering position in Phase 1 of a platform that will define what performance intelligence means in professional sport
• Develop and execute strategic workforce plans, coaching senior leaders on organisational design, change management, communication, and talent development to drive engagement, retention, and business performance
• Shape culture and values by identifying organisational needs and implementing impactful, scalable people solutions
• Drive a consistent, high-quality employee experience across the EMEA region, spanning three offices, 16 countries, and multiple employment frameworks
• Provide hands-on support and strategic partnership to leaders, teams, and employees, ensuring people strategies are aligned with business goals
• Partner with the Talent team to deliver strategic initiatives across learning and development, diversity, equity and inclusion, reward, workforce planning, and talent acquisition
• Mentor and lead regional P&C team members, fostering a high-performance culture
• Leverage data and insights to identify trends, inform decision-making, and influence strategic outcomes
• No vendor names are locked, the capabilities are what matter, and the right engineer knows how to choose. The platform requires: real-time streaming ingestion; time-series optimised storage at lake scale; millisecond feature serving; graph database with custom sport ontology; causal and simulation modeling layer; full provenance and audit logging; per-club isolation at the infrastructure level