We make real what matters
Siemens Smart Infrastructure intelligently connects energy systems, buildings and industries. We help our customers to thrive, communities to progress and support sustainable development to protect our planet for the next generation. Join our team of about 380 000 colleagues around the globe and help us creating environments that care.
Your new responsibilities
- Support agile Software Development team on various topics
- Establish connection between business context and data
- Data deepdives for different Usecases
- Data analysis, verification and validation
- Support in rolling out an application
Your skills and experience
- You are currently enrolled (4th semester onwards) or have completed your Bachelor studies in a related field and plan to start your Master at a later stage
- Good analytical skills with an affinity for data
- Knowledge/Interest in data flows
- Structured and independent working with high personal initiative
- Good communication skills to exchange with different stakeholders
- Fluent in written and spoken English
- Start in February for a period of at least 9 to 12 months
- Employment 40-60%
Who and where we are
Find out why Siemens is chosen every year as one of the most popular employers in Switzerland, and get a first impression of a new working environment and the people who could be your new work colleagues.
Your application
Siemens takes your privacy very seriously and ensures a high standard of data protection. We are therefore only able to accept applications via our application platform (‘APPLY NOW’ button). Answers to the most frequently asked questions and a contact form can be found at . We look forward to receiving your complete application.
Information for recruitment agencies: Siemens does not accept recruitment agency applications for this position. Thank you for your understanding.
Job ID: 195618
Organization: Smart Infrastructure
Company: Siemens Schweiz AG, Smart Infrastructure, Global Headquarters
Experience Level: Student (Not Yet Graduated)
Job Type: Part-time