Data Engineer Luxury Jobs
There are 6 data engineer luxury positions currently open.
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.
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.
Cartier
Data Engineer
Cartier Manufacturing Joaillerie seeks a Data Engineer Intern to design, develop, and maintain data infrastructure within the Digital Transformation division. The six-month internship, beginning between January and March 2027, will focus on data ingestion, ETL/ELT pipeline development on Google Cloud Platform (GCP), data transformation using dbt, and workflow orchestration with Apache Airflow. The role offers hands-on experience with modern cloud technologies in service of a prestigious luxury maison.
Data Engineer Intern at Cartier Manufacturing, Paris. 6-month internship in digital transformation, GCP, dbt, Airflow.
Burberry
Data Engineer
The Data Engineer designs and builds data models and transformation logic that convert ingested data into governed products across domains including Customer, Product, Order, Sale, and Supply Chain. Operating within cross-functional squads, the role manages the engineering layer between platform-level ingestion and reporting output, ensuring data quality, governance, and enterprise-ready consumability. As part of Burberry's transition from partner-led to internally owned delivery, the position carries accountability for knowledge retention, documentation standards, and engineering consistency within the data product engineering layer.
Burberry seeks a Data Engineer in London to design data models, manage transformation layers, and ensure data governance across enterprise platforms. Python, SQL, Spark, Databricks required.
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.