Data Engineer

Location ParisÎle-de-FranceFrance
Type Other
Seniority Mid-Level
Posted Mar 16, 2026
Apply Now

Kering — Data Engineer (Paris): join the Data & AI Platform team to build and operate the Group's cloud data platform (GCP, BigQuery, dbt).

Overview

Kering is a global, family-led luxury group that houses world‑renowned Maisons across couture, ready‑to‑wear, leather goods, jewelry, eyewear and beauty. The Group combines creative heritage with a strong commitment to sustainability and innovation; its in‑house Technology & Digital organisations support cross‑House platforms and services used by multidisciplinary teams across the business.

Role & Responsibilities

  • Design, develop and maintain platform components and services (data pipelines, reusable frameworks, governance modules and automation).
  • Contribute to and enforce platform architecture and security by participating in Architecture Decision Records (ADRs).
  • Provide second/third‑line user support: investigate incidents, remediate issues and drive reliability and performance improvements.
  • Promote platform adoption through active participation in developer communities and Chapters, sharing best practices and onboarding domain teams.
  • Collaborate with the Product Owner and multidisciplinary teams to prioritise work, shape the product vision and implement continuous service enhancements.

Qualifications

  • Master’s degree (Bac+5) in Computer Science, Information Systems or equivalent.
  • Minimum 3 years’ experience in a Cloud & Data engineering role.
  • Proven experience with cloud data services — ideally on GCP (BigQuery, dbt, Dataflow, Airflow, Pub/Sub).
  • Strong proficiency in SQL and Python; practical experience with Terraform and Infrastructure as Code patterns.
  • Experience with relational (Postgres) and NoSQL databases.
  • Familiarity with Agile ways of working and associated tooling (Jira, Confluence); knowledge of IT best practices (DevOps, ITIL, FinOps).
  • Fluency in English, written and spoken. Cloud certification is a plus.

Skills

GCP BigQuery dbt Dataflow Airflow Pub/Sub Terraform SQL Python Postgres NoSQL Jira Confluence Infrastructure as Code DevOps ITIL FinOps Cloud certification

Experience

At least three years of hands‑on experience in Cloud & Data environments, with demonstrable delivery of data pipelines, platform components and operational support within agile organisations.

Education

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

Culture

Kering fosters a collaborative, multidisciplinary environment that blends creative heritage with technological modernisation. Teams value autonomy, knowledge sharing through Chapters, and continuous professional development, with an emphasis on sustainability, diversity and inclusion.