Kering Data Engineer

Département
IT & Technology Systems
Secteur
Fashion, Apparel & Leather Goods
Publié
21 avr. 2026

À propos de Kering

Kering is a global, family-led luxury group that houses multiple creative Maisons across couture, ready-to-wear, leather goods, jewelry, eyewear and beauty. The Group combines strong creative heritage with a strategic focus on sustainability, digital transformation and cross‑Maison collaboration; its central technology and digital organisations provide shared platforms and services to support the Houses worldwide.

Kering — Data Engineer in Paris. Join Kering Technologies & Digital to develop the Group’s Data & AI platform (GCP, BigQuery, dbt).

Rôle et responsabilités

  • Design, develop and maintain platform components and services (data pipelines, frameworks, governance modules, automations) for the Group’s Data & AI platform.
  • Participate in the developer community and Chapters: share best practices, drive adoption of platform tools and support product teams.
  • Contribute to Architecture Decision Records (ADR) by providing technical input and participating in architectural decisions.
  • Provide user support: investigate and resolve incidents, improve reliability, performance and observability of services.
  • Collaborate with the Platform Product Owner and multidisciplinary teams to align priorities, deliver increments and continuously improve the service.

Qualifications requises

  • Master’s degree (Bac+5) in Computer Science, Information Systems or equivalent.
  • Minimum 3 years of experience in a Cloud & Data engineering role building or operating data platforms.
  • Proven experience with cloud data services — ideally on GCP (BigQuery, dbt, Dataflow, Airflow, Pub/Sub); cloud certification is a plus.
  • Strong programming and data skills: SQL and Python; infrastructure automation experience with Terraform.
  • Experience with relational (Postgres) and NoSQL databases and familiarity with Infrastructure as Code principles.
  • Knowledge of IT best practices (Agile, ITIL, DevOps, FinOps) and familiarity with Jira and Confluence.
  • Professional English, written and spoken.

Compétences

GCP BigQuery dbt Dataflow Airflow Pub/Sub Terraform SQL Python Postgres NoSQL Jira Confluence FinOps ITIL DevOps

Expérience requise

At least 3 years working in Cloud & Data environments, with hands-on responsibility for designing, implementing or operating scalable data platform components and pipelines.

Formation

Master’s degree (Bac+5) in Computer Science, Information Systems or a related discipline, or equivalent practical experience.

Environnement de travail

Le poste est situé à Paris, Île-de-France, France.

Avantages

Professional development and skills progression; support for technical certifications; participation in internal communities of practice and exposure to international projects.

Culture d'entreprise

Kering promotes a creative, multidisciplinary and collaborative workplace that pairs Maison-level craftsmanship with modern digital platforms. The organisation values autonomy, knowledge sharing across Chapters and a commitment to sustainability, diversity and inclusion.

À propos de Cerulean

Cerulean est le portail de recrutement de référence pour l'industrie mondiale du luxe. Nous mettons en relation des profils d'exception avec des opportunités uniques au sein des plus grandes maisons de mode, de haute horlogerie, de joaillerie, de cosmétiques de prestige, d'hôtellerie et de vente de détail. Cerulean rassemble et structure l'emploi du luxe pour vous guider vers la carrière à laquelle vous aspirez.

Foire aux questions (FAQ)

A.

L'industrie du luxe se caractérise par une nomenclature riche et nuancée. Les maisons prestigieuses emploient fréquemment leur propre terminologie et, même au sein d'une seule et même entreprise comme Kering, les intitulés peuvent varier selon les pays pour s'adapter aux usages locaux. Pour garantir une clarté totale, Cerulean attribue un titre de référence standardisé et cohérent avec les usages du secteur à chaque annonce. Il convient toutefois de noter que ce rôle est fonctionnellement synonyme de «Platform Data Engineer», «Cloud Data Engineer», «Data Infrastructure Engineer», «Data Platform Engineer», entre autres variantes. Notre architecture de recherche avancée anticipe ces synonymes, garantissant ainsi que vos requêtes utilisant des termes similaires vous mèneront directement aux offres correspondantes.

Kering

Kering Data Engineer

Paris, France

Continuer vers la candidature.