Process Engineer

Panda International

Breda

Hybrid

EUR 70,000 - 95,000

Full time

2 days ago
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Job summary

Panda International in Breda, Netherlands, seeks an analytical Industrial Engineer to drive performance improvements in a pharmaceutical warehousing and logistics setting. The role is hybrid, on-site at least three days weekly, and focuses on mapping processes, data-driven decisions, and value-stream optimisation.

You will model and monitor process performance, lead cross-functional improvements with QA, Engineering and Manufacturing, and coach colleagues to adopt lean methods.

Qualifications

  • Bachelor's or Master's degree in Industrial Engineering or a comparable field.
  • 5+ years of experience in industrial engineering or performance improvement in an operational department.
  • 2+ years of experience in a highly regulated environment (pharma, chemicals, or food).
  • Proven analytical skills; Lean Six Sigma Green Belt.
  • Strong data skills and proficiency with multiple analytical tools.

Responsibilities

  • Analyse complex warehouse and logistics problems using qualitative and quantitative data.
  • Model, monitor and predict process performance using advanced analytical tools.
  • Anticipate and prevent potential process issues based on data analysis.
  • Optimise internal value streams and create new methods, processes and procedures.
  • Manage multiple assignments and projects using fit-for-purpose project management techniques.
  • Develop robust, practical solutions independently, aligned with objectives.
  • Work cross-functionally with Quality Assurance, Engineering, Manufacturing and SMEs.
  • Provide training, coaching and guidance to colleagues.

Skills

Lean Six Sigma
Data analysis
Multiple analytical tools
Fluent English

Education

Bachelor's or Master's in Industrial Engineering

Tools

Advanced analytical tools

Job description

This role sits within the warehouse and logistics function of a pharmaceutical commercialisation site, improving process performance and internal value streams. It's a hybrid role (onsite at least 3 days per week) for an analytical, independent engineer who drives change and owns project objectives.

Responsibilities

  • Analyse complex warehouse and logistics problems using qualitative and quantitative data.
  • Model, monitor and predict process performance using advanced analytical tools.
  • Anticipate and prevent potential process issues based on data analysis.
  • Optimise internal value streams and create new methods, processes and procedures.
  • Manage multiple assignments and projects at once, using fit-for-purpose project management techniques.
  • Develop robust, practical solutions independently, in line with functional objectives.
  • Work cross-functionally with Quality Assurance, Engineering, Manufacturing and subject matter experts.
  • Provide training, coaching and guidance to colleagues.
  • Bachelor's or Master's degree in Industrial Engineering or a comparable engineering or science field.
  • 5+ years of experience in industrial engineering or performance improvement within an operational department.
  • 2+ years of experience in a highly regulated environment (e.g. pharma, chemicals or food).
  • Experience optimising internal value streams.
  • Proven analytical skills (e.g. Lean Six Sigma Green Belt).
  • Strong data skills, with expert use of multiple analytical tools.
  • Fluent English, written and spoken.

Preferred Requirements

  • Good understanding of GDP and GMP.
  • A curious mindset, with a drive for results and a willingness to challenge the status quo.
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