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The role requires 6+ years of experience as a data engineer, expertise with Python, SQL, and HTML, deep knowledge of data models and Snowflake architecture, and experience leading complex technical projects.
This role is part of Sotheby's Data Team, working closely with Engineering, Product, Operations, and Research teams to build systems of intelligence, with emphasis on leadership, mentorship, and championing scalable workflows in a collaborative environment.
A strong candidate holds a degree in a quantitative field, has 6+ years of data engineering experience, possesses deep technical expertise in tools like Snowflake, Python, SQL, and AWS, and demonstrates leadership in complex projects while being business savvy.
Auction house for fine art
Sotheby's is a global auction house that specializes in selling fine art, luxury items, and collectibles through live and online auctions, as well as private sales. The company provides online estimates to help sellers determine the value of their items, which is a key differentiator from competitors. Sotheby's holds auctions in major cities worldwide, attracting a diverse audience and ensuring a competitive market for high-end items. The goal is to connect buyers and sellers in the luxury market while offering a personalized and discreet experience.