Automation & Site Engineering Leader in Melbourne

Automation & Site Engineering Leader in Melbourne

Melbourne Full-Time 81000 - 99000 $ / year (est.) On-site
M

At a Glance

  • Tasks: Lead engineering and automation at our high-tech Distribution Centre.
  • Company: Join MECCA Brands, a leader in beauty and innovation.
  • Benefits: Competitive salary, career growth, and a dynamic work environment.
  • Other info: Collaborate with top-tier partners and enhance your skills.
  • Why this job: Make an impact on cutting-edge technology and drive performance.
  • Qualifications: Experience in site engineering and automation management required.

The predicted salary is between 81000 - 99000 $ per year.

MECCA Brands is seeking an experienced Site Engineering Manager to lead the engineering and automation function at our highly automated Distribution Centre in Victoria. You will drive reliability, safety and performance of conveyors, AS/RS, robotics and OSR shuttle technology while partnering with Knapp and OEMs.

Reporting to the National Distribution Centre Manager, you’ll manage preventive/predictive maintenance programs, monitor MTBF/MTTR metrics and oversee facilities compliance.

Automation & Site Engineering Leader in Melbourne employer: Mecca Brands

MECCA is an exceptional employer, offering a vibrant work culture that prioritises innovation, collaboration, and employee well-being. As the Head of eCommerce, you'll have access to professional development programs, health initiatives, and generous discounts, all while leading a high-performing team in a dynamic environment aimed at becoming the #1 Beauty Destination in ANZ. Join us to shape the future of digital commerce in beauty and enjoy a rewarding career with ample growth opportunities.

M

Contact Details:

Mecca Brands Recruitment Team

We think you need these skills to ace Automation & Site Engineering Leader in Melbourne

Engineering Management
Automation Technology
Reliability Engineering
Safety Management
Performance Monitoring
Preventive Maintenance
Predictive Maintenance