Analytics Engineer Luxury Jobs
There are 7 analytics engineer luxury positions currently open.
Puig
Analytics Engineer
Puig, a leading home of premium beauty and fashion brands, seeks an Analytics Engineer to join its global team in New York. This role offers the opportunity to drive data-driven insights across a portfolio of 17 Love Brands spanning fragrance, fashion, makeup, and skincare, supporting the organization's commitment to creativity and innovation across more than 150 markets worldwide.
Analytics Engineer role at Puig in New York. Drive data insights across premium beauty and fashion brands.
Puig
Data Engineer
Design, build and operate enterprise-grade data infrastructure, reusable data pipelines and governed data assets on Google Cloud Platform to enable analytics, AI and business decision-making across the organization. This role emphasizes cloud-native data engineering using BigQuery, with strong focus on data quality, governance, observability, performance and security. The Data Engineer contributes to shared data capabilities within Technology Architecture that support Data & AI Tech Factory delivery, business data domains, and AI engineering teams.
Puig seeks Data Engineer in Barcelona to design and operate enterprise data infrastructure on Google Cloud Platform, BigQuery and cloud-native data pipelines.
Hermès
Data Engineer
Hermès is deploying a next-generation cloud data platform across the United States, and this role offers a foundational engineering position at the program's inception. The selected candidate will lead data engineering initiatives supporting the migration from legacy local platforms, operating in close partnership with a co-located VIE Data Analyst to establish both technical infrastructure and analytical capabilities. This is not a maintenance role; success requires rigorous technical foundations and a commitment to deliverable quality and traceability over execution speed in a high-stakes migration programme.
Hermès seeks a Data Engineer (VIE) in New York to build cloud data platform foundations during a major migration programme.
Bvlgari
Data Scientist
Drive the design, development, validation and industrialization of Data Science, Machine Learning and Artificial Intelligence solutions that transform business opportunities into scalable, governed and value-generating Data & AI products. Within the central Data & AI Product Unit, the Data Scientist partners with business stakeholders, Data Architects, Data Engineers and Data Governance teams to identify high-value AI/ML use cases, build robust analytical solutions, and integrate them into enterprise processes and platforms. The role contributes to the Data & AI transformation agenda by combining statistical rigour, technical excellence, business understanding, Responsible AI principles and production-oriented delivery across traditional AI/ML, Generative AI and Agentic AI initiatives.
Bulgari seeks an experienced Data Scientist in Rome to design and deploy AI/ML solutions transforming business opportunities into scalable, value-generating data products.
Kering
Data Engineer
Kering seeks an experienced Data Engineer to join its Data & AI team in Paris, where you will design, develop, and operationalize cross-domain data products that deliver reliable, scalable, and governance-compliant datasets to business stakeholders. Reporting to the Platform Product Owner, you will collaborate with Product Owners, Tech Leads, Data Platform Engineers, and business partners to transform raw data into robust analytical assets while driving standardization, data quality, and the adoption of AI-assisted engineering practices across the luxury goods conglomerate.
Data Engineer position at Kering in Paris: design and operationalize cross-domain data products for luxury goods. Requires 3+ years experience, GCP expertise, and strong technical foundation.
Louis Vuitton
Data Scientist
Louis Vuitton seeks a Data Scientist to join its Digital and Client Development division, specifically the Data Science & AI team. The successful candidate will bridge technical expertise and business strategy by designing, implementing, and managing data science and AI projects that address complex supply chain, manufacturing, and operational challenges across the Maison's global portfolio. This role requires proficiency in statistical modeling, machine learning techniques, and cloud-based analytics platforms, with demonstrated success translating data insights into measurable business impact.
Data Scientist role at Louis Vuitton, Paris. Lead machine learning and analytics projects for luxury supply chain and operations.
Tapestry
Data Engineer
Tapestry seeks a Data Engineer to design, implement and operate scalable data pipelines and platforms that power analytics, BI and ML across its brands. The role requires hands‑on cloud and ETL experience, strong SQL and collaboration with cross‑functional teams.
Tapestry — Data Engineer in New York, NY. Build scalable data pipelines and platforms for Coach, Kate Spade and Stuart Weitzman.