Junior Computational Designer
Pubblicato il 12-08-2026 - Arup in Milano
Shape a future with purpose at Arup in Milan."Develop innovative digital solutions for the built environment"Arup's purpose, shared values and collaborative approach has set us apart for over 75 years, guiding how we shape a better world. The Digital Team delivers services to our clients and help the other teams in the Arup Group automate their processes. Digital runs through everything we do from software development, computational design, data analysis to digital strategy and advisory work – determined to enhance the world around us. Our work combines digital innovation, creativity, emerging technology, with the multidisciplinary breadth of Arup.The OpportunityThe successful candidate will be integrated into a dynamic team and will participate in all the cutting-edge projects carried out in the group developed for a variety of sectors such as Property, Cities, Transport and Energy.You will work on projects contributing to our computational design applications, software development, data insights, or digital strategy projects.
This could include activities such as developing code for software solutions, apply computational design solutions to our design projects, building dashboards to bring data and insights to life, or taking part in client workshops to understand their digital and data needs.Your project roles will be structured to enable you to effectively contribute as part of the team, develop your technical acumen, enhance your communications skills and to maximise your learning opportunities through specific projects tasks and day-to-day engagement with our experienced team.As a Assistant Computational Designer at Arup, you will:Join and actively collaborate with a team of computational designers, engineers, data scientists and developers.Automate design and/or engineering workflows, develop scripts and tools that solve complex engineering problemsContribute to the development of web applications (front-end, back-end, APIs, etc.)Develop data visualisation d