Fullstack Engineer

Implement requirements as a software engineer, focusing on clean code, sustainable architecture, and robust test coverage. Main task

Enhance the quality, maintainability, and extensibility of the codebase while also taking responsibility for the software's operation through DevOps practices. Main task

Collaborate within a cross-functional Scrum team of software and data engineers to analyse requirements, design, and technically implement new features. Main task

Foster open, transparent, and clear communication as a collaborative team player, actively giving and receiving constructive feedback within and beyond Scrum ceremonies. Main task

Participate in the entire process from conception to implementation and operation of solutions, including code reviews and support. Main task

Utilize T-shaped skills to work deeply and broadly alongside other software and data engineers on the team.

Do you have experience in Tableau?, Want to shape the ERP and webshops of Digitec and Galaxus, used by 4M+ customers? Join Dr. No, our cross-functional team in Product Development, focused on smart solutions in People & Culture, Finance, and Logistics. We're looking for a Software Engineer with .NET and frontend skills, eager to grow and work with employee-related data in a dynamic, supportive team., Advanced education in a technical or data-focused field (ETH/UNI/FH) or significant professional experience with .NET technologies. Mandatory

Strong proficiency in C# and the .NET Framework, with a preference for front-end development (e.g., ASP.NET Razor components). Mandatory

Eagerness to learn quickly and extensively, with a proactive mindset. Mandatory

You enjoy working with others, pushing projects forward as a team, and see real value in agile practices like pair programming. Mandatory

Solid technical understanding with the ability to grasp complex systems and derive effective solutions. Mandatory

Bonus points if you've got experience with tools like BigQuery, Dataform, MSSQL, Tableau, SSRS, OLAP cubes, or comparable tools in the area of data management, preparation, and provision.