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Procter & Gamble

Data Engineer Internship (m/f/x)

Procter & Gamble is hiring a Data Engineer Internship (m/f/x). Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

  • On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include SQL, Python and R.
  • Level classifies it as an internship.
  • Level lists 873 other open roles at Procter & Gamble.

AI in this role

Support digital solutions development and big data analytics as a data engineering intern.

SQLPythonRPower BITableau
big-data-analyticsdata-engineeringproblem-solvingtroubleshooting

Job Location

MEQUINENZA PLANT

Job Description

Are you ready to kickstart your career in the world of Product Supply and be part of a leading company recognized for its innovative production systems and technologies? Join us! 🙌

As an Digital Engineer Intern, you will play a crucial role in supporting the team building and testing digital solutions while learning how these systems are developed in real business environments. This role is focused on learning, growth, and hands‑on experience under guidance.

Key Responsibilities:

  • Analysis of workload in operations lines and support departments to create digital solutions.

  • Develop skills in big data analytics, immersive research, and effective storytelling.

  • Support development in digital solutions and prototypes

  • Support in production lines in troubleshooting or with maintenance tasks.

What We Offer:

  • 💪 Responsibilities from Day 1: Take ownership of your projects from the beginning, contributing to meaningful work.

  • 👩‍🏫 Continuous Mentorship: Work with passionate professionals and receive formal training and day-to-day mentoring from your manager.

  • 🌍 Dynamic Environment: Be part of a diverse and inclusive workplace, tackling exciting challenges.

  • ⚖️ Work/Life Balance: Enjoy a work environment that promotes agility and balance between work and personal life.

  • 💰 Competitive Benefits: Receive a competitive stipend and benefits package.

Job Qualifications

  • Job Qualifications

  • 🎓 Educational Background: Currently pursuing or recently completed a University/Bachelor’s degree in Engineering or a related field; nice to have: Master's degree in Occupational Risk Prevention.

  • 💻 Technical Skills: Strong Analytical Skills. Experience with SQL, Python, or R, and/or tools like Power BI or Tableau is a plus.

  • 📝 Communication: Strong written and verbal communication skills in English.

  • 🌟 Personal Attributes: A positive, proactive attitude with excellent problem-solving skills.

  • 🏆 Leadership Potential: Demonstrated leadership abilities and a desire to grow within a dynamic environment.

  • ⏳ Time Management: Ability to manage multiple priorities with a sense of urgency.

  • 🚀 Innovation Spirit: A self-starter with an innovative mindset and the ability to work autonomously.

  • 🗣️ English proficiency (B2+) required.
  • 🗣️ Spanish proficiency (B2+) required.

Job Schedule

Full time

Job Number

R000155816

Job Segmentation

Internships

Starting Pay / Salary Range

€1.200,00 / month

How we rate this

Data Engineer Internship (m/f/x) at Procter & Gamble rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Big Data AnalyticsData EngineeringProblem SolvingTroubleshootingSQLPythonRPower BI

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$145k

Use the typical data engineer figure as a reference when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where big data analytics was part of your work. What did you do?
  2. Tell me about a project where data engineering was part of your work. What did you do?
  3. Tell me about a project where problem solving was part of your work. What did you do?
  4. Tell me about a project where troubleshooting was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Big Data Analytics, Data Engineering, Problem Solving, Troubleshooting, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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