Data Platform Engineer – Inventory & Observability

About this role

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

As QRT’s infrastructure estate grows, maintaining accurate data on its resources, ownership and performance is increasingly important. In this hands-on role, you will build and operate the data foundations underpinning our infrastructure inventory and observability capabilities. The focus extends beyond dashboard design to creating an accurate, consistent and reliable view of the platform, its ownership and its behaviour.

Your future role within QRT: Design and build data models for infrastructure and operational data, defining canonical representations for resources, ownership, capacity and utilisation. Integrate inventory, configuration, security and observability data from multiple systems into a coherent, queryable view. Keep key counts and metrics consistent across different consumers, and make data lineage, ownership and limitations explicit.

Design data structures that are fast to query and easy to reason about at the scale of QRT’s estate. Automate data processing, validation and delivery, and build the tooling to detect data-quality, freshness and performance issues before consumers do. Investigate and resolve data-quality, freshness and performance issues, solving root causes rather than symptoms. Collaborate closely with infrastructure, security, engineering and observability teams to onboard new sources and improve the accuracy of the platform view.

Take ownership of systems end-to-end, and adapt the platform as scale, requirements and underlying technologies change. Your present skillset: Experience building and operating production-grade data platforms, analytical data models, or large-scale data-processing applications. Strong SQL and dimensional or analytical data modelling experience, including the design of schemas that are maintainable, performant and easy for consumers to reason about.