Data Platform Intern: Build Scalable, Secure Data Pipelines

Pernod Ricard; Paris; On-site; EUR 16,000 - 17,000; Full time

Benefits offered by this job

Company restaurant

Coursera access

Employee events

Job summary

Pernod Ricard is seeking an Intern for Data Platform in Paris, starting March 2027 for 6 months. You will join a fast-moving team focused on enabling data products through standardized, scalable, and secure infrastructure.

As part of the Data Platform group, you will help build pipelines, monitor data quality, and automate platform processes using dbt and Snowflake. This internship requires current enrollment in an engineering school or Master’s program and a strong data engineering foundation.

Qualifications

• Currently enrolled in engineering school or Master’s program with a data/CS focus.
• Strong foundation in data engineering concepts, including SQL and Python.
• Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus.
• Analytical mindset and teamwork abilities; proactive and curious.

Responsibilities

• Become part of the Data Platform team, owning topics with autonomy and collaboration.
• Contribute to development and maintenance of the data platform, including pipelines and data quality monitoring.
• Support data ingestion and transformation workflows using modern tools (dbt, Snowflake, etc.).
• Collaborate with data engineers and product teams to ensure data availability, reliability, and scalability.
• Participate in documentation, standardization and communication of data platform components.

Skills

SQL

Python

Data engineering concepts

Cloud platforms familiarity

Education

Engineering school/Master’s program

Data/CS specialization

Tools

dbt

Snowflake

Azure

AWS

GCP

Job description

Pernod Ricard is seeking an Intern for Data Platform in Paris, starting March 2027 for 6 months. You will join a fast-moving team focused on enabling data products through standardized, scalable, and secure infrastructure.

As part of the Data Platform group, you will help build pipelines, monitor data quality, and automate platform processes using dbt and Snowflake. This internship requires current enrollment in an engineering school or Master’s program and a strong data engineering foundation.