📊 Cloud-fokussierter Data Engineer (w/m/d) EUV bei Trumpf in Ditzingen gesucht

Stichworte

• DataEngineering
• Azure
• Python
• PySpark
• SQL
• EUV
• Cloud
• Ditzingen
• TRUMPF
• BigData

Zusammenfassung

TRUMPF bietet am Standort Ditzingen eine spannende Herausforderung für einen Data Engineer (w/m/d) EUV im Bereich der Halbleitertechnologie. In dieser Schlüsselrolle entwickeln und skalieren Sie Cloud-basierte Datenpipelines für hochkomplexe Lasersysteme. Durch die enge Zusammenarbeit mit internationalen Expertenteams realisieren Sie zukunftsweisende Lösungen wie Predictive Maintenance. Das Unternehmen kombiniert eine innovative High-Tech-Arbeitswelt mit der Sicherheit und Kultur eines Familienunternehmens. Flexible Arbeitszeitmodelle und modernste Technologien runden dieses attraktive Angebot ab.

Benefits und Qualifikationen

• Cloud-Datenpipelines
• Predictive Maintenance
• Azure-Technologien
• Python
• SQL
• PySpark
• Flexible Arbeitszeiten
• Remote-Optionen
• Sport-und Fitnessprogramme
• Befristet auf 2 Jahre

Stellenausschreibung

Join a globally leading, family-run high-tech organization with nearly 19,000 colleagues. At TRUMPF, we foster a culture of collaboration and trust, providing the perfect environment to challenge the status quo and develop groundbreaking technologies. From lasers to EUV lithography, we are creating the technological foundations for future generations. Are you ready to take on new challenges in an environment that inspires innovation?

In partnership with ASML and Carl Zeiss, TRUMPF develops EUV exposure systems for the semiconductor industry—a technology recognized with the German Future Prize. This innovation drives the production of the latest 2-nanometer chip generation. We provide the sophisticated high-power laser sources that power these systems worldwide.

Your new role

• You design, deploy, and optimize cloud-based data pipelines that cover the entire lifecycle of our high-power CO2 laser systems.
• In cross-functional teams, you collaborate with R&D, production, and service experts to build data-driven applications like condition monitoring and predictive maintenance.
• Working closely with data analysts, you translate complex algorithms into scalable cloud solutions that process massive volumes of machine and signal data.
• You contribute to a robust, future-proof cloud infrastructure by collaborating with data architects, IT teams, customers, and suppliers.

Your profile

• A degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience.
• Proficiency in Python, SQL, and PySpark, along with solid software engineering practices including CI/CD and Git workflows.
• An analytical and solution-oriented mindset with the ability to communicate effectively in international teams.
• Business-fluent English and German language skills (at least level B2).
• Experience with Azure technologies such as Databricks, Apache Spark, Synapse, or Terraform is a significant advantage.

What we offer

• A respectful and inclusive work environment within a values-driven family company.
• Access to state-of-the-art equipment and cutting-edge technology.
• Early project responsibility with a tangible impact on global technology.
• Flexible working hours and remote work options for an optimal work-life balance.
• Comprehensive fitness and sports programs to promote health and networking.

Please note that this position is initially limited to a duration of 2 years.