Data Platform Engineer | Data Scientist
Fronius International GmbH
Job Summary
This role involves working within a dedicated and team-oriented Data Engineering department to continuously advance data platforms, laying the groundwork for innovative digital business models. The successful candidate will be responsible for developing, automating, and integrating modern scalable data platforms, deploying platform services and data pipelines, and designing and implementing new platform features from prototype to production. Collaboration with Data Engineers and Data Scientists on automation and AI projects is key. The position requires a strong background in data engineering or platform engineering, expertise in Kubernetes and container orchestration, and proficiency in software engineering principles and CI/CD processes, particularly with Python. This is an attractive opportunity for a professional looking to contribute to cutting-edge data solutions within a motivated team.
Required Skills
Education
Degree in Computer Science, Data Science, Software Development, or comparable field
Experience
- At least 2 years of professional experience in Data Engineering, Data Science, or Platform Engineering
- Profound experience with Kubernetes & 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 is a plus
Languages
Additional
- Certified Kubernetes Application Developer (CKAD) certification is a plus