Описание
Our client? Our client is a large-scale technology organisation with a strong focus on engineering, data, and AI. They are continuing to invest in AI/ML platform capabilities that enable teams to build, operate, and scale machine learning and intelligent applications more effectively.
About the Role They are hiring a Lead/Staff Data Engineer to join a high-impact team sitting at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds the pipelines, platforms, and tools that let the Data Science and Performance Marketing teams run experiments in production at scale. This is a hands-on technical leadership role for an experienced engineer with a strong data-driven mindset.
You will work across structured and unstructured data at massive scale, on systems where quality, accuracy, speed, and efficiency are critical. You will take end-to-end ownership of building the systems that let experiments launch in production at pace. *Relocation sponsorship is provided
Responsibilities
Provide technical leadership in improving the scalability, quality, accuracy, speed, and efficiency of existing data and ML processes Analyze data to support better business decision-making Design, build, and test tools, libraries, pipelines, and platforms that help Data Science and Business teams launch experiments in production Partner with experienced engineers and product owners to identify and build tools that automate large-scale data managemen
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