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Premaster program | data engineering for data streaming and live analysis

Reutlingen
Bosch
Inserat online seit: 9 Dezember
Beschreibung

PreMaster Program | Data Engineering for Data Streaming and Live Analysis

Gerhard-Kindlerstr. 9, Reutlingen, Germany

Full-time

Bosch Sensortec GmbH


Company Description

Bosch Sensortec GmbH is a technology leader in sensing solutions based on microelectromechanical systems (MEMS) and dedicated to the consumer electronics world. We develop and market key technologies for smartphones and tablets, hearables, wearables, smartglasses, augmented and virtual reality applications, gaming devices and many more. Our sensors improve people’s well-being and lifestyle and enable consumer electronic devices to sense the world around us. MEMS sensors are therefore an essential part of the foundation for a connected world. Bosch Sensortec GmbH is a wholly owned subsidiary of Robert Bosch GmbH.


Job Description

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


Qualifications

* 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


Additional Information

The Bosch PreMaster Program (Gap Year Program) is a two-stage qualification program for committed graduates with Bachelor's degrees who want to complete a Master's degree. After the Bachelor's degree, the first phase provides up to 12 months' practical experience for familiarization with technical and business interrelationships. The second phase comprises the Master's course and includes personal mentoring on the road to successful completion.


Bosch Sensortec GmbH is looking forward to your application!

Need support during your application?
Samuel Zinn (Human Resources)
+49 7121 35-33717
Need further information about the job?
Carsten Klein (Functional Department)
+49 7121 35-36991

Further information about the program and the requirements can also be found online at: https://www.bosch.de/en/career/your-entry/graduates/premaster-program/

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

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