TL;DR

Staff Data Engineer (Data Science/ML): Leading the design and implementation of data architecture, data warehouse solutions, and data governance to empower product development and uncover business opportunities. With an accent on scalable data pipelines, Snowflake optimization, and cross-functional collaboration. Focus on architecting robust data ingestion, monitoring KPIs, and driving data strategy across teams.

Location: London, onsite

Company

%hirify_global% is a premier global marketplace for art and luxury, operating across 40 countries with a leading technology platform supporting auctions, private sales, and e-commerce.

What you will do

Define technical data architecture and strategy for Data Engineering and Business Intelligence teams.
Collaborate hands-on with data engineers to implement robust data solutions.
Design, develop, and deploy data warehouse solutions supporting internal stakeholders.
Drive data preparation, integration, and exploration initiatives.
Develop and implement data governance and security policies.
Own business metrics and communicate analyses across the business including senior executives.

Requirements

Location: Must be based in London for onsite work
6+ years of experience as a Data Engineer with strong technical and leadership skills.
Expertise in Snowflake, AWS tools, Python, SQL, and data warehouse technologies.
Experience with Tableau administration and ERP systems (SAP).
Strong communication skills to convey complex insights to stakeholders.