Varden Process Information
Contact top employees from
Varden Process
Summary
Varden Process is a privately held company that has been in the industry for 11 years. The company currently specializes in the Packaging and Containers area. Its headquarters is located at AU. The estimated number of employees - 19. To connect with Varden Process employee register on SignalHire.
Organization Website | varden.com.au |
Industries | |
Headquarters Location | Alliance Ln, Clayton, Victoria, 3168 AU |
Employees Size | 10-50 employees |
Specialties | Packaging |
Founded | 2015 |
Employees Turnover 4 quarter 2025
Length of Employment
Employee tenure at Varden Process shows a diverse range of experience levels:
27% have been with the company for less than 1 year18% for 1–2 years18% for 3–4 years36% for 5–7 yearsContact top employees from
Varden Process
Sarah Clifton
COO
Mark Appleford
Founder/ GM Operations
Campbell Brown
Engineering Lead
Blake Froude
Strategy Analyst
Lucas Ogden
Research Assistant
Marc Triolo
Factory Manager
Connor Lowndes
Research Assistant
Dion Dhanitya Santoso
Design Engineer
Liam Methven
Fibre Research Manager
Vannastra Touch
Research Assistant
Scott Austin
Production & Maintenance Engineer
Lan Anh Hoang
Research Assistant
Adeline Ang
Research Assistant
Izzy Barwick
Research Assistant
Annabelle Ng
Research Assistant
Similar Companies
FAQ
Varden Process operates in the Packaging Production industries. More details can be found on the official website: varden.com.au.
The headquarters of Varden Process are located in Clayton, Australia.
Varden Process currently employs 10-50 people.
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
