About this role
About the Role The Data Activation & Asset Management Intern at P&G Spittal site supports building foundational data capabilities and delivering data-driven improvements for production and quality processes. This 9–12 month traineeship offers hands-on, complex technical tasks and growth opportunities within a dynamic team. What You'll Do
- Assess current data landscape and align with business objectives
- Support the development and implementation of data strategy
- Define 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 (PLC, HMI) to the Corporate Data Lake and other systems
- Build capability in site OT resources for data modeling and pipeline interfacing
- Assist with data governance processes including metadata management, business glossary, and access controls
- Establish and maintain best practices for data publishing and quality assurance
- Contribute to 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 in cross-functional projects and report progress regularly What We're Looking For
- 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) Nice to Have
- Agile, Scrum, or DevOps experience
- Additional familiarity with data catalog tools and metadata governance
- Practical exposure to industrial automation environments Compensation & Benefits
- 9–12 months traineeship with projects spanning complex technical tasks, independence and growing responsibility in a young, dynamic team
- Possibility of stepping stone to direct entry after graduation
- Compensation subject to Austrian Collective Bargaining Agreement for Employees in the Chemical Industry, employment group I