Job Location SPITTAL A.D. DRAU PLANT Job Description YOUR 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.
Eligibility / Qualification Required:
Assess current data landscape and align with business objectives Support the development and implementation of data strategy Assist in defining data management standards, guidelines, and principles Collaborate with Quality Assurance, Intelligent Controls & Automation, and Site Digital teams to identify high-value OT and QA lab data Help implement and configure data pipelines from source systems such as PLC and HMI to the Corporate Data Lake and other systems Support capability building in site OT resources for data modeling and pipeline interfacing Assist with data governance processes including metadata management, business glossary, and access controls Help establish and maintain best practices for data publishing and quality assurance Contribute to the creation and rollout of training materials on data management Promote usage of the data catalog within the plant Collaborate with Data Analysts, Data Consumers, and Development teams to gather requirements Ensure data quality and usability across systems Participate actively in cross-functional projects and initiatives Document and report work progress regularly WHAT WE OFFER 9-12 months traineeship working on projects with complex technical tasks, independence and rapidly growing personal responsibility in a young, dynamic team Activities together with other interns Possible stepping stone to a direct entry after graduation Compensation: This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Chemical Industry in employment group I. Job Qualifications Strong 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 strategy Basic knowledge of data governance, quality, and data architecture Ability to work independently and lead initiatives Fluent in English (written and spoken); German highly preferred Good communication and teamwork skills Passion for continuous improvement in a manufacturing environment Preferred: Experience with Agile, Scrum, or DevOps Familiarity with OT systems (PLC, HMI) or industrial automation Knowledge of metadata management and data catalog tools 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: CV as a separate document Cover 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 student Please upload all documents in the "CV/Resume" field.
How to Apply:
Apply online through the official P&G careers portal.
Apply Now