Geberit International AG
The globally operating Geberit Group is a European leader in the field of sanitary products and celebrated its 150th anniversary in 2024. Geberit operates with a strong local presence in most European countries, providing unique added value when it comes to sanitary technology and bathroom ceramics. The production network encompasses 26 production facilities, of which 4 are located overseas. The Group is headquartered in Rapperswil-Jona, Switzerland. With around 11,000 employees in more than 50 countries, Geberit generated net sales of CHF 3.1 billion in 2024. The Geberit shares are listed on the SIX Swiss Exchange and have been included in the SMI (Swiss Market Index) since 2012.
Enterprise AI Data Platform Engineer (a) 80-100%
As Enterprise AI Data Platform Engineer at Geberit, you will be instrumental in preparing our data infrastructure for AI-readiness and innovation.
You will work closely with cross-functional teams to optimize data access and governance, building data pipelines and leveraging Generative AI technologies to drive efficiency - to help building a digital twin of Geberit.
1. AI Readiness:
- Ensure data readiness for AI projects by implementing scalable data infrastructure and governance protocols.
- Collaborate with business and IT stakeholders to facilitate easy and secure access to data across teams.
- Contribute to AI experiments and implementations by connecting data sources and optimizing data flows for machine learning models, thanks to a good understanding of Geberit data and business processes.
2. Data Pipelines & Cloud Infrastructure:
- Design, build, and maintain reliable and efficient data pipelines to integrate data from multiple sources, ensuring data quality and accessibility.
- Work with Microsoft Fabric cloud technologies to build scalable data architectures suitable for AI workloads.
- Develop ETL processes to transform raw data into valuable insights, helping drive decision-making in product and manufacturing processes.