Salary: £120,000 - 125,000 per year Requirements: Several years of commercial experience in data engineering and analytics development in a similar high-performance environment Strong KDB/q development skills (core focus) Solid Linux engineering experience, including awareness of low-level networking and kernel-level understanding Knowledge of large-scale storage systems, data distribution, and resilience/failover strategies Familiarity configuring and operating AWS services and Kubernetes-based infrastructure Experience working with Level 1, Level 2, and Level 3 market data feeds Background in big data performance tuning, analytical workflows, and data visualisation Responsibilities: Build and improve analytics capabilities that give the front office and management clearer visibility across both new and existing areas of the business Develop scalable data pipelines to capture, clean, and store high-volume datasets from internal trading platforms and external market data feeds Create and refine efficient data-access frameworks to support live dashboards, execution performance analysis, and market microstructure research Design and implement complex event processing (CEP) workflows to detect data issues in real time and generate actionable signals Diagnose problems and continuously strengthen the platforms reliability, performance, and cost efficiency Contribute across the full software development lifecycle—from initial research and prototyping through delivery, testing, deployment, and ongoing support Technologies: AWS Big Data Support Kubernetes Linux Cloud More: We are a leading, well-established digital asset quantitative trading firm currently in a high-growth phase, delivering record profits. We are looking for an accomplished KDB Developer to join our team, working closely with front-office quants and traders to design and develop latency-sensitive data solutions. This is an exciting opportunity to become part of a team that thrives on innovation and collaboration. last updated 4 week of 2026