Production Digitalization Specialist | Spezialist/in Digitalisierung Produktion (m/w/d) ANÜ

HOLZER Firmengruppe

Landshut, Isar, Bayern, Deutschland
Published Mar 19, 2026
Full-time
No information

Job Summary

As a Production Digitalization Specialist, you will play a pivotal role in transforming manufacturing visions into reality within the exterior plastic components sector. Your day-to-day responsibilities will involve analyzing and optimizing production processes through advanced data analytics and Business Intelligence tools like Quicksight. You will design and build robust ETL database architectures using AWS and Microsoft Azure, while automating administrative workflows using RPA tools and Python. A significant portion of the role focuses on developing AI-driven solutions for predictive maintenance and decision-making. This position is highly collaborative, requiring close coordination with data experts and cross-functional teams to implement digital use cases and manage SharePoint migrations. This is an exciting opportunity for a tech-savvy professional to work in a traditional motorsport environment, leveraging cutting-edge technologies like Machine Learning and Generative AI to drive efficiency and quality in a modern production setting.

Required Skills

Education

Completed degree in (Business) Informatics, Mechanical Engineering, or a comparable field of study with a focus on Data and Analytics.

Experience

  • Professional experience in implementing data analytics solutions
  • Proven experience with SQL databases, SQL syntax, and JavaScript
  • Practical experience using visualization tools and platforms such as Power BI or QuickSight
  • Initial experience in the field of Machine Learning and Generative AI
  • Experience in applying MS Power Platform, SharePoint, and OneDrive
  • Experience working with Cloud architectures, preferably AWS or Snowflake

Languages

German (Fluent)English (Fluent)

Additional

  • The role involves cross-site collaboration and planning targeted rollouts of digital use cases. Candidates must demonstrate analytical thinking and a structured way of working.