Data Engineering Intern

Description

Are you passionate about technology and eager to kick-start your career in data engineering?

Join P&G as a Data Engineering Intern and be part of a dynamic team that harnesses groundbreaking technology to transform data into actionable insights. You will have the opportunity to work on innovative projects that directly impact our operations and contribute to the efficiency and sustainability of one of the largest consumer goods companies in the world. You will also work closely with our data engineering and analytics teams to develop robust data pipelines and support data-driven decision-making across the organization.

YOUR CONTRIBUTION TO P&G’S SUCCESS :

Data Pipeline Development : Assist in designing, implementing, and maintaining data pipelines to ensure seamless integration of data from various sources.

Data Management : Support data quality initiatives by monitoring and improving data integrity and availability across systems.

Collaboration : Work with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

Data Analytics : Use data analytics to identify trends, patterns, and opportunities for process improvements within the supply chain and manufacturing sectors.

Tool Development : Contribute to the development of data tools and dashboards that visualize insights and enhance decision-making.

Learning & Growth : Participate in training sessions and mentorship programs to enhance your technical skills and understanding of data engineering best practices.

Please note we offer a fulltime internship for the period of 6 months.  Possible Start Dates : From now, September, October 2025 Job Qualifications

YOU ARE THE RIGHT FIT IF YOU ARE / HAVE :

Pursuing a Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field.

Familiarity with programming languages such as Python, SQL, or R.

Basic knowledge of data management and data analytics concepts.

Strong analytical skills and a passion for problem-solving.

Effective communication skills and the ability to collaborate with diverse teams.

A proactive attitude and eagerness to learn new technologies and methodologies.

Job Schedule Full time Job Number R000134754 Job Segmentation Internships (Job Segmentation)