Quality Engineer supporting EnerSys's Quality Assurance team for industrial applications. Collaborating with stakeholders to enhance plant quality activities and processes.
Responsibilities
The Quality Engineering is a key contributor to the Quality Assurance team, promoting EnerSys Core Values (EH&S, Engagement, Continuous Improvement, Customer Experience, Teamwork, Ethics, and Accountability).
This role supports plant quality activities and processes, collaborating with internal and external stakeholders including Customers, Suppliers, Operations and support functions.
The Quality Engineer actively participates in the EnerSys Operating System (EOS), Managing for Daily Improvements (MDI), A3s, and Rapid Improvement Events (RIEs), and contributes to tracking and improving Plant KPIs.
The role also supports activities with contract manufactures, representing our company and developing solutions for quality products and stable/repeatable processes.
Participate in external and internal auditing processes to ensure compliance with Lean Manufacturing Modules and Quality standards such as ISO, VDA, and 7QBs.
Requirements
Bachelor’s degree in engineering or business or technical field or 8-10 years equivalent experience with a vocational degree
Prefer 3+ years experience in a Quality Assurance and Manufacturing environment.
Strong understanding of quality management systems and standards (ISO 9001; TL9000 and ISO 14001 preferred).
Strong risk assessment, problem identification and problem-solving skills.
Experience with Mechanical and Electrical assembly and test techniques.
Experience with Power Electronics, PCBa and IPC standards is required.
Strong auditing, prioritization, and communication skills.
Must be a problem solver, self-starter able to prioritize and balance multiple tasks with minimal supervision.
Must be able to interface with all levels of personnel including Management, customers, and auditors.
Detail oriented with the ability to handle multiple, changing priorities.
Proactive approach towards problem-solving to improve the KPI(s) related to the Quality Department.
Relative experience in design or manufacturing environment with a good understanding of product life cycle from conception to obsolescence.
Strong data analysis skill and data driven approach.
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