Tasks
- Establishment and further development of our data platforms and infrastructure
- Design, development and maintenance of data pipelines and ETL processes
- Deployment automation of platform services and data pipelines (DataOps)
- Design and development of infrastructure for machine learning and AI applications using modern technologies and approaches
- Developing and implementing data requirements and data-centric solutions with our data science team and domain experts
Profile
- Sound technical education (HTL/FH/University)
- Professional experience in the field of data analytics/science/engineering, big data or in a comparable specialist area
- Practical experience in working with data / ETL pipelines, data warehouses or data lakes
- Knowledge of data management (data requirements, modeling and preparation)
Bonus points for
- Experience with data science tasks (machine learning, …)
- Experience with hospital information systems and their data interfaces
Your benefits
- Offices in Linz and Graz (free choice).
- High home office option of up to 60% by default (individual agreement up to 100% possible).
- Excellent team with dedicated colleagues from different areas.
- Work at the interface between research and practice.
- Solving problems with major positive effects for society.
- High flexibility and personal responsibility.
- Many opportunities for personal development.
- Excellent working atmosphere.
- Regular team events.
- A competitive salary (at least €4,346/month gross).
The minimum salary for this position according to the collective agreement is €4,346 gross per month for 38.5 hours per week. We are of course prepared to pay a higher salary if you have the right qualifications.
