Project Engineer for Data Analytics and Simulation

Develop and execute simulation studies to assess the feasibility and performance of engineering systems and processes Analyze, process, and interpret data from sensors, monitoring systems, and industrial IoT platforms Apply machine learning algorithms to both real-world sensor data and synthetic simulation data Collaborate with multidisciplinary engineering teams to translate technical challenges into data-driven solutions Support the development of digital engineering, analytics, and simulation workflows

AFRY provides engineering, project management, and advisory services that enable the energy and industrial transition and strengthen resilience in society. With 18,000 experts worldwide, we combine a global reach with local insights and deep sector knowledge to make a lasting impact for generations to come.

• Bachelor’s or master’s degree in engineering (preferably mechanical engineering) or applied mathematics

• Additional advanced training in data science

• Hands-on experience with industrial CFD software such as Star-CCM+, ANSYS Fluent, or OpenFOAM as well as with advanced data analytics platforms is a strong advantage

• Capability to code in Python and knowledge of Azure cloud systems or interest to develop

• Proficient in English with basic German language skills