For more than a century, a leading global company in the beauty and consumer goods industry has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Its mission is to offer every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity, and responsibility to satisfy all beauty needs and desires in their infinite diversity.

Within this organization, the IT teams design and build solutions to ensure high performance for all business sectors by imagining new ways of doing things — from designing websites to building algorithms and predicting new trends. They lead initiatives towards a more connected and digitalized future in IT retail, e-commerce, CRM, data, AI, cybersecurity, Cloud, and E-Marketing. You never stop learning here because things change at the speed of light!

Come join our dynamic team!

• Design and maintain data structures that reflect business rules and workflows.
• Ensure consistency and traceability between raw, curated, and semantic layers.
• Translate business requirements into structured technical and logical models.
• Document relationships, transformation logic, and field definitions clearly.
• Validate data across layers using rule-based tests and SQL checks.
• Participate in defining granularities, hierarchies, and transformation points.
• Support product and engineering teams with business knowledge and modeling expertise.
• Evaluate and propose integration structures for new data sources.
• Define and enforce logic for data unification, enrichment, and version control.
• Ensure model scalability to support analytics, visualization, and automation.

• Solid SQL skills and understanding of relational and analytical data modeling.
• Experience with data transformation tools (dbt, Power BI modeling, BigQuery).
• Familiarity with process mapping and logic structuring tools.
• Ability to translate functional logic into technical data designs.
• Strong documentation skills and attention to logic clarity.
• Problem-solving mindset, comfortable working with ambiguity and evolving logic.
• Business-to-technical translation ability, communication across diverse technical teams.
• Team player with good collaboration habits across business and tech roles.

4–6 years in data-related roles, ideally 2–3 in a modeling or validation-heavy position.

• SQL (intermediate to advanced)
• Power BI Data Model or LookML
• BigQuery or another columnar data warehouse
• Lucidchart / process mapping tools
• Google Sheets / Excel (for logic validation)
• Data documentation platforms (Confluence, dbt docs)

• Basic understanding of ELT pipelines
• Experience with logical modeling and traceability documentation
• Familiarity with UAT/test case development for data pipelines
• Solid understanding of business domain data structures