Internship Data Platform H/F Vitijob

Pernod Ricard SA
Do you want to join a fast-moving company and work among convivial teams? Pernod Ricard is looking for its next Intern for Data Platform, starting in March 2027 for 6 months.
Context As the Data Platform team, our mission is not to build business use cases ourselves-but to empower the teams who do. We act as enablers, providing the tools, infrastructure, and standards that allow data consumers across the organization to build, scale, and operate their own data products efficiently and securely. To achieve this, we focus on delivering a Triple S data platform-Standardized, Scalable, and Secure. This means:
Standardized: We define and promote best practices, governance models, and reusable components to ensure consistency and interoperability across teams. Scalable: We design and maintain a platform that can grow with the business, supporting increasing data volumes, users, and use cases without compromising performance. Secure: We embed security and compliance at the core of our architecture, ensuring data is protected and access is well-managed.
Our platform underpins a wide range of data-driven activities at Pernod Ricard, including the 10,000+ Power BI reports used globally. These reports rely on a robust and performant Snowflake-based data infrastructure, along with a network of integrated systems and services that we continuously monitor, optimize, and evolve.
Ultimately, our goal is to provide reliable, future-proof data foundations that enable business teams to focus on what matters most: creating value from data.
Your key mission Become a part of the Data Platform team, owning and delivering topics with autonomy but also collaboration Contribute to the development and maintenance of the data platform, including data pipelines, data quality monitoring, and platform automation. Support data ingestion and transformation workflows using modern data tools (e.g., dbt, snowflake, etc.). Collaborate with data engineers and product teams to ensure data availability, reliability, and scalability across use cases. Participate in the documentation, standardization and communication of data platform components, processes, and best practices. Explore and prototype new tools or frameworks that could enhance the performance, observability, or usability of the platform.