Lead Engineer Europe (Real-Time Scheduling)

Accountabilities:

You will support the global professional services team in delivering advanced scheduling and simulation solutions, helping life sciences manufacturers improve capacity, efficiency, and operational performance. Your responsibilities will include:

• Apply discrete event simulation techniques to model complex manufacturing processes, identify bottlenecks, and assess production capacity.

• Lead customer discussions and consultative meetings to understand manufacturing workflows, gather requirements, and integrate diverse data sources into RTS software.

• Develop algorithms and programmatic solutions for design of experiments, data visualization, process optimization, and efficiency improvements.

• Implement, configure, and support RTS software solutions, working with customers to introduce upgrades and enhancements.

• Collaborate with internal Technology teams on software testing, product improvements, and the development of new features.

• Translate customer requirements and operational data into practical simulation models and scheduling solutions.

• Manage project delivery, ensuring milestones, budgets, and timelines are met while maintaining high levels of customer satisfaction.

• Build strong relationships with stakeholders and coordinate activities across customer and internal teams.

• Travel across Europe to support customer engagements and project assignments, including short- or extended-term visits.

Requirements:

The ideal candidate combines strong engineering and analytical capabilities with practical software development experience and the ability to work confidently with customers. The key requirements include:

• Bachelor's degree in Engineering, Computer Science, Applied Mathematics, or a related discipline.

• At least 5 years of relevant professional experience.

• Proficiency with discrete event simulation tools such as FlexSim, Simio, or Siemens Tecnomatix.

• Strong understanding of probability, statistics, and quantitative analysis.

• Ability to independently develop software solutions for complex or novel problems using programming languages such as C# or C++.

• Experience with mathematical modeling and scripting tools such as VBA, Python, or MATLAB.

• Excellent interpersonal and communication skills, with the ability to engage effectively in customer-facing discussions.

• Strong analytical and problem-solving abilities, including the capacity to make sound decisions when information is incomplete or uncertain.

• Ability to manage changing priorities, coordinate multiple stakeholders, and deliver results in a collaborative environment.

• Professional fluency in both English and German, written and spoken.

• Willingness and availability to travel across Europe for short or extended assignments, up to approximately 15%.

Preferred Qualifications:

• Experience in the life sciences manufacturing industry.

• Ability to quickly learn and adapt to new technologies and software platforms.

• Demonstrated success working collaboratively in both leadership and individual contributor capacities.

Benefits:

• Remote working arrangement.

• Full-time employment.

• Opportunities to work on complex, high-impact projects within the life sciences manufacturing sector.

• Access to professional development, training, mentorship, and continuous learning opportunities.

• Opportunities to collaborate with international, multidisciplinary teams.

• Exposure to innovative technologies, software solutions, and digital transformation initiatives.

• Potential for career progression and leadership development within a global organization.

• Inclusive and collaborative working environment that values diverse perspectives and professional growth.