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Industrial Engineer, HE-TEM manufacturing


Job Location:

Eindhoven - Netherlands

Monthly Salary: Not provided by the employer
Posted: 26 June 2026 (30+ days ago)
Application Deadline: 23 September 2026
Vacancies: 1 Vacancy

Job Summary

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier cleaner and safer. Whether our customers are accelerating life sciences research solving sophisticated analytical challenges increasing efficiency in their laboratories improving patient health through diagnostics or the development and manufacture of life-changing therapies we are here to support them.

The Materials and Structural Analysis Division (MSD) enables customers to find meaningful answers that accelerate breakthrough discoveries and ultimately change the world. We design manufacture and support a broad range of high-performance microscopy and spectroscopy workflows at micro- nano- and picometer scales.

How will you make an impact

As an Engineer III Industrial Engineering Data & Lean Manufacturing within HE-TEM Manufacturing you will join the Advanced Manufacturing Engineering (AME) team in Eindhoven. This team focuses on continuously improving how complex High-End Transmission Electron Microscopes are built.

In this role you will drive data-driven operational improvements by leveraging MES (Manufacturing Execution System) data. You will independently identify improvement opportunities translate data into actionable insights and lead implementation of solutions that improve cycle time quality and manufacturing efficiency.

You will act as a key link between manufacturing operations digital systems and data analytics ensuring that decisions on the shop floor are based on facts and deliver measurable impact.

What will you do

Data-Driven Performance Improvement

  • Analyze MES and manufacturing data to identify bottlenecks and improvement opportunities (cycle time OEE FPY throughput)
  • Develop and maintain dashboards and KPIs to support daily and tactical decision-making
  • Translate data insights into concrete improvement actions for manufacturing teams
  • Ensure data accuracy consistency and proper usage across stakeholders

Lean Manufacturing Execution

  • Lead and execute Lean improvement initiatives (Kaizen VSM A3 DMAIC)
  • Drive waste reduction and flow improvements using data-supported analysis
  • Implement and sustain standard work and process improvements
  • Support daily management and performance routines on the shop floor

MES & Digital Integration

  • Act as a key user of MES systems and manufacturing data infrastructure
  • Translate operational needs into system and data requirements
  • Support implementation and adoption of MES improvements in collaboration with Product Owner and engineering teams
  • Ensure alignment between MES data and operational KPIs

Cross-Functional Collaboration

  • Collaborate with Operations Engineering Manufacturing R&D and Advanced Technology teams
  • Work with AI Engineers to identify and prioritize high-impact data use cases
  • Provide input to Product Owner for backlog prioritization based on operational needs
  • Align with Operations Architect on improvement priorities and roadmap

Project Ownership & Impact

  • Independently lead improvement projects with clear scope and deliverables
  • Quantify and track results (cycle time reduction quality improvement cost savings)
  • Ensure sustainable implementation of improvements within operations
  • Communicate progress results and recommendations to stakeholders


How will you get here

  • BSc or MSc degree in Industrial Engineering Mechanical Engineering or related technical field
  • 47 years of experience in a manufacturing environment (high-tech preferred)
  • Strong knowledge of Lean Manufacturing principles and tools (Green Belt required or willingness to obtain)
  • Experience working with MES systems and manufacturing data
  • Strong analytical skills (e.g. SQL Python Power BI Tableau or similar)
  • Experience with KPI definition and performance management (OEE takt time lead time FPY)
  • Proven ability to independently drive improvements based on data insights
  • Strong communication skills and ability to collaborate across functions
  • Ability to operate effectively in a dynamic and complex manufacturing environment


Preferred Qualifications

  • Experience in high-tech or semiconductor manufacturing environments
  • Lean Six Sigma Black Belt certification
  • Knowledge of statistical engineering or Design of Experiments (DOE)
  • Experience working in cleanroom environments
  • Experience collaborating with digital/AI teams on manufacturing improvements
  • Excellent English language skills (verbal and written) Dutch is a plus


Our offer

  • Direct contract with Thermo Fisher Scientific with a competitive salary 13th month holiday allowance and annual incentive bonus
  • Flexible working hours arrangement
  • Excellent career progression opportunities within a growing global employer
  • Training and courses via Thermo Fisher University
  • Collaborative work in an international environment
  • Strong team spirit and company activities
  • Very attractive 40 holidays per year
  • Full-time position (40 hours)


Values

Integrity Intensity Innovation and Involvement are key values that we expect of all that are part of our community. Diversity in our teams is an essential element to build an effective and challenging working environment.

Apply now!

Thermo Fisher Scientific does not discriminate based on race color religion sex sexual orientation gender identity national origin disability or any other legally protected status.


Required Experience:

IC


About Company

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Electron microscopes reveal hidden wonders that are smaller than the human eye can see. They fire electrons and create images, magnifying micrometer and nanometer structures by up to ten million times, providing a spectacular level of detail, even allowing researchers to view single a ... View more

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