PreMaster Program | Data Engineering for Data Streaming and Live Analysis

Your tasks

Have you completed your bachelor's degree and are eager to begin your career? However, are you also interested in pursuing a master's degree? Either/or? Both! We offer the ideal solution: our PreMaster Program provides practical experience to help you earn your master's degree. This means that you will gain on-the-job experience with us, which you can later expand upon academically during your studies.

• You boost real-time lab measurement insights by scaling, optimizing and continuously improving our live monitoring setup to reduce tester usage time
• Integrate advanced machine-learning algorithms to detect anomalies, error patterns and other insights in streamed lab data
• Work closely with users of the live monitoring service to gather feedback and transform it into impactful new features that improve daily workflows
• You design and develop intuitive user interfaces that make live monitoring results immediately accessible and actionable for engineers and stakeholders
• Define, implement and integrate LIMS interfaces to enable seamless data exchange and support our ongoing cloud migration efforts
• Build, maintain and enhance code, dashboards and algorithms that power the live monitoring ecosystem and visualize data-driven insights across the team

Your profile

• Personality: Curiosity and commitment to enhancing engineering efficiency through data-driven insights, strong team spirit and enthusiasm for working with lab data and real-time monitoring systems
• Working Style: Structured, analytical and proactive problem-solver with the ability to communicate clearly and collaborate with internal stakeholders to implement practical solutions
• Experience: Hands-on experience in data analysis, machine learning and reporting using Python and Tableau, familiarity with data streaming, dashboards and data visualization; exposure to software development and cloud migration is a plus
• Languages: English (very good), German is a plus
• Education: Excellent bachelor’s degree in Electrical Engineering, Computer Science, Microsystems Technology, Physics or related technical fields