Pacesetting. Passionate. Together. HELLA, one of the leading automotive suppliers worldwide, has shaped the industry with innovative lighting systems and vehicle electronics. In addition, the company is one of the most important partners of the aftermarket and independent workshops. What motivates us: Shaping the mobility of tomorrow and fostering the central market trends such as autonomous driving, efficiency and electrification, connectivity and digitization as well as individualization. Every day, 36,000 employees worldwide are committed to this with passion, know-how and innovative strength.

YOUR TASKS

• Design, develop and maintain big data transformations and data pipelines at data analytics cloud platform.
• Design and development of data analytics software applications and dashboards at data analytics cloud platform.
• Design, development and integration of Al and ML data models into data pipelines and data analytics applications to solve business problems.
• Debug complex issues and performance problems over the entire data pipeline.
• Identify and solve data analytics problems that offer the greatest opportunities to the organization.

YOUR QUALIFICATIONS

• Master's degree in computer science, Mathematics, Software Engineering or Data Science.
• A highly analytical mindset and eagerness to solve technical problems within data pipelines, cloud infrastructure, and Front-end applications.
• Experience or interest in working with big data structures to solve valuable business problems.
• Strong experience in Python, PySpark, SOL, Spark SQL, Java, TypeScript/JavaScript.
• Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
• Great problem-solving skills with ability to evolve complex systems.

 

Take the opportunity to reveal your potential within a global, family-run company that offers you the best possible conditions for progressing in your career.

Please send us your application through our careers portal, citing reference number req16299