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.