Quality Manufacturing Engineer - CI & CAPA Leader

Panda International; Groningen; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Panda International in Groningen, Netherlands, seeks a Quality Manufacturing Engineer to oversee quality assurance activities at the factory, collaborating with Operations and Manufacturing Engineering to manage deviations, non-conformities, and escalations while ensuring procedural compliance and driving continuous improvement across manufacturing processes.

You will address non-conformities, guide planned deviations, review changes to production processes, analyze rejection data to reduce

Qualifikationen

• Bachelor's degree in a relevant field.
• 4–6 years of pharma or medical-device experience.
• Fluent Dutch and English, written and spoken.
• Detail-oriented, flexible and able to work independently or in a team.

Aufgaben

• Address non-conformities in production and manage escalations.
• Guide planned deviations from established production processes.
• Review, advise on, and approve changes to production processes.
• Analyse production rejection data to identify trends and reduce variation.
• Identify improvements from performance trends and report to management.
• Manage non-conformities and investigate CAPAs.
• Drive continuous improvement in response to regulatory changes and data insights.
• Write, review and support updating of operating procedures.

Kenntnisse

Dutch language

English language

Attention to detail

Independent worker

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

Panda International in Groningen, Netherlands, seeks a Quality Manufacturing Engineer to oversee quality assurance activities at the factory, collaborating with Operations and Manufacturing Engineering to manage deviations, non-conformities, and escalations while ensuring procedural compliance and driving continuous improvement across manufacturing processes.

You will address non-conformities, guide planned deviations, review changes to production processes, analyze rejection data to reduce