Project Engineer for Data Analytics and Simulation (f/m/d) 80-100% - Zurich

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AFRY is hiring a Project Engineer for Data Analytics and Simulation (f/m/d) 80-100% in Zurich to join Technics & Technology team. You will develop and execute CFD simulation studies, analyze sensor data from IoT systems, and apply machine learning to data while helping build digital engineering workflows. The ideal candidate holds a Bachelor’s or Master’s in engineering or applied mathematics, with data science training, CFD experience (Star-CCM+, ANSYS Fluent, or OpenFOAM), Python skills, and cloud know-how. English fluency and basic German are expected. Apply online with a tailored CV and project examples, emphasize collaboration, problem solving, and passion for cutting-edge tech, and work flexibility.

Company Description

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.

Making Future

Job Description

Join our Technics & Technology team in Zurich. The team has a unique competence in Engineering Simulation and Data Analytics. The team develops methods and tools for application to real engineering problems, covering a variety of sectors, ranging from energy and processes to water and infrastructures, though environment. This competence unit is seeking to hire a new person, with a dual profile: CFD and Data Analytics.
 

Join us and take charge as:

PROJECT ENGINEER FOR DATA ANALYTICS AND SIMULATION (F/M/D) 80-100% - ZURICH

YOUR RESPONSIBILITIES:

• 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

YOUR CHANCES:

• Shape the future with cutting-edge technology
• Challenge yourself with complex, real-life problems
• Flexible working models with the option to work from home, as well as modern office facilities in a central location
• Collaborate in diverse teams and work alongside competent, driven, and supportive colleagues
• Partner with leading clients and build a better future

YOUR PROFILE:

• 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
   

Learn more about the Department:
Engineering Simulation & Data Analytics - Kompetenz | AFRY
 

Become part of the AFRY success story! We offer creative freedom and personal responsibility, a supportive and international working environment, up-to-date employment terms, flexible working arrangements, above-average perks, attractive development opportunities and generous contributions towards your public transport passes as well as a Half-Fare card, so that you can easily reach our modern office buildings in central locations.

We look forward to receiving your online application!

Additional Information

At AFRY, we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate, innovate technology, and embrace challenging points of view. That’s how we're making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future.