Moët Hennessy Data Modeling and Querying Intern

About Moët Hennessy

Moët Hennessy, the wines and spirits division of LVMH, brings together some of the world’s most storied maisons, uniting centuries of craftsmanship with a distinctly contemporary spirit. As an employer, it offers an international environment where heritage, excellence, creativity, and responsible innovation shape every profession, from vineyards and cellars to marketing, distribution, finance, and hospitality. The group values talent capable of honoring exceptional savoir-faire while anticipating the expectations of discerning consumers worldwide. Through its global reach, entrepreneurial culture, and commitment to sustainability, Moët Hennessy provides careers defined by prestige, purpose, and the pursuit of enduring luxury.

Role & Responsibilities

• Review the existing data catalogue and identify the different levels of data structuring.
• Model data schemas for different business issues.
• Help document data sources, business definitions, nomenclature and data governance rules.
• Optimize existing and in-progress data flows in partnership with the Data Engineer.
• Identify and recommend programming languages suited to the complexity of the proposed model.
• Query data according to seasonal business objectives and Google Cloud Platform IT best practices.
• Translate and propose queries in other tools to improve accessibility for business teams, including Power BI, R and VS Code.
• Automate routine queries and design complex queries involving spatial and unstructured data that can be managed using AI.
• Design advanced, complex SQL queries involving multiple joins and aggregations.
• Query weather, satellite and external laboratory data APIs.
• Propose a catalogue of business-metric queries covering data volumes, reassessment of timelines and the impact of missing values on scientific relevance.
• Present query results using the group's data visualization tools, Power BI and Qlik Sense.
• Propose an interactive interface for queries requiring more dynamic and complex visualization.

Qualifications

• Currently pursuing a Master's year 2 degree or an engineering degree in Data Science, computer science and/or digital technology.
• Knowledge of the Data Scientist and Data Analyst tool portfolio.
• Strong skills in data modeling and querying.
• Advanced proficiency in SQL and Python.
• Proficiency in the Google Cloud Platform (GCP) environment.
• Interest in AI applications for multi-source data.
• Power BI skills are desirable; Qlik Sense proficiency is a strong advantage.
• Strong team spirit, with the ability to work across teams and understand business needs.
• Dynamic, curious and proactive in proposing new methods and tools.
• Fluency in French and English.
• A valid category B driving licence and access to a vehicle are mandatory; the research centre is not served by public transport, though carpooling from Reims or Épernay is possible.

Skills

Experience

Entry-level; no prior experience required.

Education

Currently pursuing a Master's year 2 degree or an engineering degree in Data Science, computer science and/or digital technology.

Culture

Moët Hennessy offers a workplace culture rooted in heritage, craftsmanship, and the art of hospitality, where employees contribute to some of the world’s most prestigious wines and spirits Maisons. The environment combines international collaboration with a strong commitment to excellence, sustainability, and innovation, encouraging teams to preserve tradition while shaping the future of luxury experiences.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.