Data Platform Engineer | Data Scientist
Fronius International GmbH
Job Summary
This role is centered on the continuous development and automation of modern, scalable data platforms, forming the foundation for innovative digital business models. The Data Platform Engineer will be responsible for deployment automation of platform services and data pipelines, as well as designing and implementing new platform features, taking them from prototype to production. A key part of the job involves close collaboration with Data Engineers and Data Scientists on automation and AI projects, utilizing a modern data stack including Kubernetes, Argo, Spark, and Python. Candidates should possess a degree in Computer Science or a related field, coupled with at least two years of professional experience in Data Engineering or Platform Engineering, and strong expertise in Kubernetes, container orchestration, and CI/CD processes. This is an attractive opportunity to work in a motivated, team-oriented environment, contributing to cutting-edge data solutions.
Required Skills
Education
Degree in Computer Science, Data Science, Software Development, or comparable field; Certified Kubernetes Application Developer (CKAD) certification (ideal)
Experience
- Minimum 2 years in Data Engineering, Data Science, or Platform Engineering
- Extensive experience with Kubernetes and container orchestration
- Comprehensive knowledge of Software Engineering and CI/CD processes
- Experience with scripting languages like Python
- Experience with data platforms, workflow automation, and metadata management (advantageous)
Languages
Additional
- Not specified
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