Platform Analytics Engineer

Strong, hands‑on experience using Python in data/analytics or similar engineering environments.

Strong experience using SQL, including writing complex queries and working with large datasets.

Experience with databases (

or similar analytical databases highly desirable).

Experience with modern engineering tooling such as Git and Jenkins/Airflow (or similar orchestration tools) to drive CI/CD with docker.Industry experience implementing machine learning models, including:

Evaluating model accuracy and precision.

Define, build, deploy, and evolve our analytics architecture and tools to capture, process, and automate hardware and software events at scale.

Design and maintain data pipelines and ETL that transform raw telemetry into reliable, analysis‑ready datasets.

Apply data analysis and statistical techniques to improve performance, reliability, and robustness of our hardware platforms and software releases.

Build dashboards, alerts, and other data products that enable engineering and leadership to make data‑driven decisions.

Lead and drive data‑driven projects and programs from exploration through delivery, partnering with hardware and software engineering teams.

Analyse complex systems data and recommend business decisions and strategy to hardware engineering leadership.