Salary
£100,000 - 100,000 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 visualization
Responsibilities
- Build and improve analytics capabilities to provide clearer visibility across new and existing business areas
- 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 platform 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
