Data Engineering Intern — Paris (Hybrid): Build Pipelines

Procter & Gamble; Paris; Hybrid; EUR 16,248 - 19,463; Full time

Benefits offered by this job

Monthly stipend 1600 EUR

Bridge days up to 3

Public transport cost support in Paris

Tickets Restaurant (Edenred)

Company restaurant

Work from Home 1 day per week

Xmas hamper

Conciergerie services on site

Gym on site

Coupons on P&G products

Job summary

Procter & Gamble is offering a 6-month full-time Data Engineering Internship in Paris. You will join the data engineering team to build robust pipelines, ensure data quality, and support data-driven decision making across operations and manufacturing.

You will collaborate with analytics teams and contribute to tool development and dashboards to visualize insights. The role emphasizes learning, growth, and mentorship, with hands-on project work and exposure to real-world data challenges within a

Qualifications

• Pursuing a Master's degree in Computer Science, Data Engineering, Information Systems, or related quantitative field.
• Familiarity with Python, SQL, or R.
• Basic knowledge of data management and analytics concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration with diverse teams.

Responsibilities

• Design, implement, and maintain data pipelines to ensure seamless data integration.
• Support data quality initiatives by monitoring and improving data integrity and availability.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Use data analytics to identify trends and opportunities for process improvements in operations.
• Contribute to the development of data tools and dashboards to visualize insights.
• Participate in training sessions and mentorship to grow technical skills.

Skills

Python

SQL

R

Education

Master's degree in Computer Science/Data Engineering/Information Systems

Job description

Procter & Gamble is offering a 6-month full-time Data Engineering Internship in Paris. You will join the data engineering team to build robust pipelines, ensure data quality, and support data-driven decision making across operations and manufacturing.

You will collaborate with analytics teams and contribute to tool development and dashboards to visualize insights. The role emphasizes learning, growth, and mentorship, with hands-on project work and exposure to real-world data challenges within a