Food processing, filling and packaging systems with lifecycle services
Tetra Pak supplies food and beverage processing, filling and packaging lines, and its stack reflects that: Siemens and Allen-Bradley PLCs, TIA Portal, SCADA, Wonderware and EPLAN sit alongside a deep SAP estate (ECC, HANA, QM, APO). Adoption of SAP S/4HANA and Kronos points to an ERP and workforce-management modernization, while engineering-led, accelerating hiring across 20 countries centers on equipment installation and line performance.
Tetra Pak is a privately held company headquartered in Pully/Lausanne, Switzerland, with more than 10,000 employees. It provides food production systems covering product development, processing, filling, packaging, logistics and services across most food and beverage categories. Customers are food and beverage producers operating packaging lines and plants worldwide. Business systems run on SAP, Salesforce, Power BI and Oracle Transportation Management, with automation built on Siemens and Allen-Bradley controls. Current hiring spans the United States, Europe, Asia-Pacific, Africa and Latin America.
Tetra Pak uses SAP ECC, SAP HANA, SAP QM and SAP APO, Salesforce, Power BI, Power Apps, UiPath, plus Siemens PLCs, Allen-Bradley, TIA Portal, SCADA, Wonderware and EPLAN for automation.
Yes. Hiring signals show Tetra Pak adopting SAP S/4HANA alongside its existing SAP ECC and HANA environment, together with Kronos for workforce management.
Tetra Pak is hiring in countries including the United States, South Africa, Pakistan, Australia, Mexico, Belgium, Japan, Vietnam, Thailand, Hungary, the UK, France, China and Germany, mostly in engineering and manufacturing.
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Tetra Pak's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.