Working Student: Python Data Analysis (w/m/div)

As a working student, you will support our software development and migration by developing and maintaining existing solutions. Your primary responsibilities will include: Keep up to date: You develop and maintain software applications using Python and low-code platforms Take responsibility: You migrate existing solutions to new platforms Reliable work: You participate in code reviews and ensure high-quality code delivery Shape the future: You assist in the development of new features and functionalities Your Profile Study field: You are currently studying Computer Science, Information Technology, Mathematics, Physics or similar Skills: You have good programming skills in Python, ideally with experience in software development and migration Experience: You ideally already gained experiences with Version control systems such as Git Computer vision packages like OpenCV Database management systems, specifically with SQL for Denodo and Oracle Way of working: You have excellent problem-solving skills and attention to detail Personality: You are open-minded, motivated and appreciate working in a team Availability: You want to support us for at least 12h per week Language skills: You have good German and fluent English skills, both written and spoken

The Frontend (FE) cluster combines the highest technology and manufacturing expertise to produce innovative and reliable products. The portfolio consists of power, bipolar, sensors, SMART-power and diode technology as well as CMOS, RF-CMOS and embedded flash technologies. The manufacturing sites in Austin, Dresden, Kulim, Regensburg and Villach are committed to "Operational Excellence" with a strong customer focus. We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.