Process Engineer, Reverse Logistics Optimization Specialist

1 day ago


Dublin, Dublin City, Ireland ENGINEERINGUK Full time
Job Overview

We are seeking a talented Process Engineer to join our team as we expand our global engineering capabilities in reverse logistics. This role will be highly impactful to the business and very customer-focused.


About the Team

AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. We're the people who keep the cloud running, supporting all AWS data centers and servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to innovation they rely on.


Key Responsibilities
  • Define, oversee, and drive 'design of experiments' activities to iterate on processes and automate mundane & repetitive activities.
  • C coordinate with internal and external stakeholders to improve processes through data analysis, software integration, and hardware design & implementation.
  • Identify and define new processes as necessary.
  • Develop detailed user & functional requirement documents defining project success for effective scoping & budgeting for complex problems.
  • Deliver exceptional customer obsession, clear & concise communication skills, program/project execution within defined scope, schedule, and budget.
  • Develop documentation - SOP's, Visual Aids, and RAMS for safe handling and process operation.
  • Develop/review process flow mapping for optimal process in accordance with security requirements.

Requirements
  • Minimum of 5 years' experience in a similar role, 3+ years of experience in using reporting and analytical tools, such as Excel, Tableau, Minitab, etc.
  • Level 8 Honours Degree in Technical or Business Discipline or other related quantitative discipline.
  • Experience and knowledge of line assembly/disassembly process.
  • Advanced knowledge in administration of warehouse management system/shop-floor system.
  • Experience with physical layout of process flows, value stream mapping, time-studies for optimal efficiency.


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