
Data Activation & Asset Management Internship (m/w/d) at Procter & Gamble
About the role
Job Location
SPITTAL A.D. DRAU PLANT
Job DescriptionYOUR FUTURE EMPLOYER
From its foundation 185 years ago as a soap and candle start-up, P&G today is a leading consumer goods company. We are home to iconic, trusted brands that touch 5 billion consumers worldwide and make life a little bit easier in small but meaningful ways. We want you to bring your insight, creativity, and passion to join our dedicated teams who have helped us grow into a global company.
Our people are our greatest asset: with our philosophy of promotion from within, we place strong emphasis on employee development and are committed to finding and fostering world-class talent. Learn from our inspiring leaders, shape our supportive and welcoming culture, and place your personal development at the core of your work.
Your challenge - Making a world class product!
The production site in Spittal an der Drau has been part of this success story since 2018 and has become one of the largest industrial employer in Upper Carinthia with approximately 460 employees. We work on the development and production of solid and semi-solid food supplements and drug formulations, such as Femibion, Bion3, Neurobion, Kytta or Vigantol.
Our traineeship positions offer students the unique opportunity to test technical competence and management talent under real conditions and with specific tasks. A growing proportion of our junior staff are former interns.
From Day 1, we want you to be part of our team which works on projects focused on inventing, reapplying and developing technologies required to support the production process of our extraordinary consumer products.
YOUR ROLE
As a Data Activation & Asset Management Intern, you will support building foundational data capabilities at the Spittal site. You will contribute to driving data-centered solutions that make the organization more data-driven and efficient.
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Assess current data landscape and align with business objectives
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Support the development and implementation of data strategy
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Assist in defining data management standards, guidelines, and principles
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Collaborate with Quality Assurance, Intelligent Controls & Automation, and Site Digital teams to identify high-value OT and QA lab data
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Help implement and configure data pipelines from source systems such as PLC and HMI to the Corporate Data Lake and other systems
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Support capability building in site OT resources for data modeling and pipeline interfacing
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Assist with data governance processes including metadata management, business glossary, and access controls
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Help establish and maintain best practices for data publishing and quality assurance
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Contribute to the creation and rollout of training materials on data management
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Promote usage of the data catalog within the plant
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Collaborate with Data Analysts, Data Consumers, and Development teams to gather requirements
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Ensure data quality and usability across systems
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Participate actively in cross-functional projects and initiatives
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Document and report work progress regularly
WHAT WE OFFER
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9-12 months traineeship working on projects with complex technical tasks, independence and rapidly growing personal responsibility in a young, dynamic team
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Activities together with other interns
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Possible stepping stone to a direct entry after graduation
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Compensation: This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Chemical Industry in employment group I.
Job Qualifications
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Strong academic background in Computer Science, Data Engineering, or related IT field (minimum 4–6 semesters completed)
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Technical skills in data engineering, analytics, pipelines, and data strategy
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Basic knowledge of data governance, quality, and data architecture
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Ability to work independently and lead initiatives
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Fluent in English (written and spoken); German highly preferred
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Good communication and teamwork skills
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Passion for continuous improvement in a manufacturing environment
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Preferred:
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Experience with Agile, Scrum, or DevOps
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Familiarity with OT systems (PLC, HMI) or industrial automation
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Knowledge of metadata management and data catalog tools
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Relevant certifications (e.g., Azure Fundamentals)
APPLICATION
To optimally prepare for our online assessment & interviews, make sure you fully understand our application process.
Please ensure you provide:
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CV as a separate document
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Cover letter for the specific role you are applying for (optional)
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Copy of high school certificate (Matura) as well as a copy of university degree diploma (if applicable) and enrollment confirmation as a university student
Please upload all documents in the "CV/Resume" field. Incomplete applications may lead to delays in the recruitment process.
At P&G #WESEEEQUAL
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here, if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Job Schedule
Full time
Job Number
R000150400
Job Segmentation
Internships
Required skills
Data management
Asset management
Analytical thinking
Project support
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About Procter & Gamble

Procter & Gamble
PublicProcter & Gamble is a multinational consumer goods corporation that manufactures and markets a wide range of household and personal care products. The company operates through various segments including fabric and home care, beauty, health care, and baby, feminine and family care.
10,001+
Employees
Cincinnati
Headquarters
$386B
Valuation
Reviews
10 reviews
4.0
10 reviews
Work-life balance
3.8
Compensation
4.2
Culture
4.3
Career
2.8
Management
3.7
75%
Recommend to a friend
Pros
Excellent benefits and health benefits
Supportive and inclusive team environment
Flexible working hours and work-life balance
Cons
High-pressure and stressful work environment
Limited career advancement opportunities
Demanding work hours during peak seasons
Salary Ranges
0 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
-
total per year
Base
-
Stock
-
Bonus
-
Interview experience
5 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Online Assessment
3
HR Screen
4
Hiring Manager Interview
5
Final Round Interview
6
Offer
Common questions
Behavioral/STAR
Technical Knowledge
Past Experience
Case Study
Problem Solving
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