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Data Activation & Asset Management Internship (m/w/d)

Procter & Gamble

Data Activation & Asset Management Internship (m/w/d)

full-timePosted: Jul 29, 2026Updated: Aug 28, 2026SPITTAL A.D. DRAU PLANT

Job Description

Job LocationSPITTAL A.D. DRAU PLANTJob DescriptionYOUR FUTURE EMPLOYERFrom 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 ROLEAs 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.Assess current data landscape and align with business objectivesSupport the development and implementation of data strategyAssist in defining data management standards, guidelines, and principlesCollaborate with Quality Assurance, Intelligent Controls & Automation, and Site Digital teams to identify high-value OT and QA lab dataHelp implement and configure data pipelines from source systems such as PLC and HMI to the Corporate Data Lake and other systemsSupport capability building in site OT resources for data modeling and pipeline interfacingAssist with data governance processes including metadata management, business glossary, and access controlsHelp establish and maintain best practices for data publishing and quality assuranceContribute to the creation and rollout of training materials on data managementPromote usage of the data catalog within the plantCollaborate with Data Analysts, Data Consumers, and Development teams to gather requirementsEnsure data quality and usability across systemsParticipate actively in cross-functional projects and initiativesDocument and report work progress regularlyWHAT WE OFFER9-12 months traineeship working on projects with complex technical tasks, independence and rapidly growing personal responsibility in a young, dynamic teamActivities together with other internsPossible stepping stone to a direct entry after graduationCompensation: This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Chemical Industry in employment group I.Job QualificationsStrong academic background in Computer Science, Data Engineering, or related IT field (minimum 4–6 semesters completed)Technical skills in data engineering, analytics, pipelines, and data strategyBasic knowledge of data governance, quality, and data architectureAbility to work independently and lead initiativesFluent in English (written and spoken); German highly preferredGood communication and teamwork skillsPassion for continuous improvement in a manufacturing environmentPreferred:Experience with Agile, Scrum, or DevOpsFamiliarity with OT systems (PLC, HMI) or industrial automationKnowledge of metadata management and data catalog toolsRelevant certifications (e.g., Azure Fundamentals)APPLICATIONTo optimally prepare for our online assessment & interviews, make sure you fully understand our application process.Please ensure you provide:CV as a separate documentCover letter for the specific role you are applying for (optional)Copy of high school certificate (Matura) as well as a copy of university degree diploma (if applicable) and enrollment confirmation as a university studentPlease upload all documents in the "CV/Resume" field. Incomplete applications may lead to delays in the recruitment process.At P&G #WESEEEQUALWe 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 ScheduleFull timeJob NumberR000150400Job SegmentationInternships

Locations

  • SPITTAL A.D. DRAU PLANT

Skills Required

  • Computer Scienceintermediate
  • data governanceintermediate
  • Agileintermediate
  • OT systemsintermediate
  • metadata managementintermediate

Required Qualifications

  • Strong academic background in Computer Science, Data Engineering, or related IT field (minimum 4–6 semesters completed) (experience)
  • Technical skills in data engineering, analytics, pipelines, and data strategy (experience)
  • Basic knowledge of data governance, quality, and data architecture (experience)
  • Ability to work independently and lead initiatives (experience)
  • Fluent in English (written and spoken); German highly preferred (experience)
  • Good communication and teamwork skills (experience)
  • Passion for continuous improvement in a manufacturing environment (experience)
  • Preferred: (experience)
  • Experience with Agile, Scrum, or DevOps (experience)
  • Familiarity with OT systems (PLC, HMI) or industrial automation (experience)
  • Knowledge of metadata management and data catalog tools (experience)
  • Relevant certifications (e.g., Azure Fundamentals) (certification)
  • Strong academic background in Computer Science, Data Engineering, or related IT field (minimum 4–6 semesters completed) (experience)
  • Technical skills in data engineering, analytics, pipelines, and data strategy (experience)
  • Basic knowledge of data governance, quality, and data architecture (experience)
  • Ability to work independently and lead initiatives (experience)
  • Fluent in English (written and spoken); German highly preferred (experience)
  • Good communication and teamwork skills (experience)
  • Passion for continuous improvement in a manufacturing environment (experience)

Preferred Qualifications

  • Experience with Agile, Scrum, or DevOps (experience)
  • Familiarity with OT systems (PLC, HMI) or industrial automation (experience)
  • Knowledge of metadata management and data catalog tools (experience)
  • Relevant certifications (e.g., Azure Fundamentals) (certification)

Benefits

  • general: 9-12 months traineeship working on projects with complex technical tasks, independence and rapidly growing personal responsibility in a young, dynamic team
  • general: Activities together with other interns
  • general: Possible stepping stone to a direct entry after graduation
  • general: Compensation: This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Chemical Industry in employment group I.
  • general: 9-12 months traineeship working on projects with complex technical tasks, independence and rapidly growing personal responsibility in a young, dynamic team
  • general: Activities together with other interns
  • general: Possible stepping stone to a direct entry after graduation
  • general: Compensation: This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Chemical Industry in employment group I.

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