Описание
Job Description Job Description Zendesk's mission is to make Customer Experience better - for every brand, every customer, every day. Data and analytics are the engine of that vision: the vehicle through which we deliver actionable insights to the 125,000+ global brands that run on Zendesk, and to the internal teams who build the next generation of CX products on top of that data. The Zendesk Analytics Prototyping (ZAP) team sits at the sharp end of that mission.
We design and ship the fine-grained, contextually rich datasets that power Zendesk's customer-facing analytics application - and that the rest of the analytics organisation also depends on for support-operations insight, and product decision-making. Our data assets serve external customers and internal stakeholders in equal measure, but the customer-facing surface is where the quality bar is set. We’re looking for a Senior AI Data Engineer to join our team, with strong data engineering experience and a keen interest in applying AI-related tools and practices in practical ways.
You will work across code, dbt models, and datasets, helping teams build and improve the data assets behind Zendesk’s customer-facing reporting. What you’ll be doing: Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases. Build and optimize SQL-based data models using dbt and other ETL tools.
Support ZAP’s progress toward a more AI-enabled operating model, using emerging tec
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