Engineering Maintenance Manager RME

Engineering Maintenance Manager - Stockton-on-Tees, UK, RME

At Amazon, we have hundreds of facilities across Europe. They’re not just workplaces – they’re our hubs where teams meet and collaborate to make sure we’re always delivering the best we can for our customers. As a Reliability Maintenance Engineering (RME) Area Manager, you’ll bring together the elements that make our working environment as supportive and efficient as possible. Your focus will be to lead and mentor a team of expert technicians dedicated to equipment reliability.

• Support colleagues in site compliance with safety policies and procedures.
• Implement EU network standards, plan preventative maintenance and ensure technical availability.
• Collaborate with colleagues to collect and analyse data to improve processes.
• Deliver and support both site-based and network-level projects.
• Lead, support and mentor your team to develop their career.

As a manager, you’ll lead your team and manage their performance and development, including organising additional training. You’ll also develop operational plans to improve the site’s productivity and efficiency, creating new projects that enhance operational processes and equipment maintenance. Safety is paramount, and you’ll often work early or late hours, including night shifts, to minimise disruption to Amazon’s critical operations.

• Experience in reliability/maintenance environments, or experience in planning, scheduling and auditing maintenance activities.
• Experience in engineering team management.
• Experience in similar environments, or experience working with and managing third party vendors.
• Speak, write, and read fluently in English at C1 level or above.

• A UK Higher National Diploma (HND), Higher National Certificate (HNC), BTEC National Diploma (OND), Ieng, CEng or ILM L4+.
• Experience of working with statutory regulations such as compliance checks and machine safety protocols.
• Experience in automated equipment, including packaging machinery, sortation and conveyor systems.
• Experience of using data analysis tools and PLC-based control systems.

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