Principal Data Engineer H/F

il y a 2 jours


Paris, Île-de-France Atexo Temps plein
Transformative Data Engineer Opportunity

At Chanel, we are seeking a visionary Principal Data Engineer to lead our data-informed initiatives and drive technological transformation. As a key leader within the Data Team, you will oversee the Data Engineering sub-domain and provide technical leadership across all three sub-domains: Data Engineering, Data Analytics, and Artificial Intelligence.

Key Responsibilities:

  • Design and execute a technical roadmap for the Data Engineering team, ensuring alignment with our broader product roadmap.
  • Manage change within the team and strategically guide the recruitment of future engineering talent.
  • Participate in the company's Data and AI communities to influence our overarching technical trajectory.

Requirements:

  • Robust expertise in Modern Data Platforms (such as Fabric, BigQuery, Redshift, or Snowflake).
  • Experience with data transformation tools like DBT, visualization tools (PowerBI, Looker, or Tableau), and ML platforms (Databricks, AML, VertexAI, or Sagemaker).
  • Familiarity with Azure DevOps and a strong understanding of GIT.

What You Will Learn:

You will be entering an environment characterized by a philosophy of modern data management, advanced software engineering practices, and a proactive product management approach. Our division is experiencing hyper-growth, and we are committed to building data governance models that enhance business ownership and operational clarity.

Our Values:

We live by the ethos of delivering business value, building together, keeping solutions simple (KISS), and maintaining a human touch with integrity in all we do. These values guide our actions and our approach to innovation and collaboration.

What Chanel Can Offer:

We provide a vibrant work culture, opportunities for professional growth, and the chance to work with cutting-edge technology in collaboration with industry leaders like Microsoft. This role is a unique opportunity to lead in a high-impact setting, driving data capabilities that influence the entire division and resonate throughout the company.


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