Supply Chain Data Engineer

vor 1 Woche


VillarssurGlâne, Freiburg, Schweiz Cartier Vollzeit

Data Engineering for Supply Chain Excellence

In the role of Supply Chain Data Engineer at Cartier, you will be responsible for developing and maintaining a robust data infrastructure to support supply chain operations. Close collaboration with stakeholders is key to qualify requirements and develop solutions using state-of-the-art data tools.

Key responsibilities include:

  • Cleaning and transforming raw data from various sources into reliable data products using SQL (dbt, Google Cloud Platform).
  • Implementing tests to check the quality and reliability of the data.
  • Documenting the data products to ensure a global understanding of dimensions and key-figures.
  • Building tools allowing people to navigate and visualize the data (Looker Explores, Looker Dashboards, Power BI).

As a member of Process Excellence Team, you will:

  • Apply software engineering best practices to analytics (version control, testing, continuous integration).
  • Be a key player in data management.
  • Propose, transform, and automate non-added value processes.
  • Be able to communicate on the work carried out to Supply Chain and non-Supply Chain stakeholders.

Requirements

To succeed in this role, you will require:

  • An engineering degree in Supply Chain or any similar scientific field.
  • 3+ years' experience in Operational Supply Chain Activity.
  • Proficiency in SQL, YAML, or other programming language.
  • Familiarity with Google Cloud Platform, dbt, GitHub, or similar tools.
  • Excellent proven analytical skills, and experience using tools like Looker and Power BI.
  • A strong understanding of BI tools, data architecture, and overall ERP systems (SAP is a plus).
  • Pro-active, curious, and familiar with the agile methodology (Jira knowledge is a plus).
  • Excellent communication skills, with both technical and non-technical teams.
  • Fluency in both French and English.


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