Supply Chain Data Engineer
vor 1 Woche
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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