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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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Data Platform Intern

Pernod Ricard
Found 1 month ago
Location
Paris, France
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
attractive compensation
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • SQL
  • Python
  • dbt
  • snowflake
  • cloud platforms (e.g., Azure, AWS, or GCP)

Soft Skills

  • Analytical mindset
  • problem-solving skills
  • proactive and curious attitude
  • Good communication
  • teamwork abilities
  • willingness to learn in a collaborative environment

Job Description

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.

Requirements

  • Currently enrolled in an engineering school or Master’s program with a specialization in Data, Computer Science, or related fields.
  • Strong foundation in data engineering concepts, including SQL, Python, and distributed data processing.
  • Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data stack tools is a plus.
  • Analytical mindset and problem-solving skills, with a proactive and curious attitude.
  • Good communication and teamwork abilities, with a willingness to learn in a collaborative environment
  • able to complete 6 months of internship and have an agreement issued by your school/university

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Nice to Haves

  • Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data stack tools is a plus.
▶Apply Now

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