Data Engineer / Platform Engineer — Kantonsspital Aarau (KSA)
NewCHF 62'000 - 94'000
Kantonsspital Aarau (KSA) · Aarau (AG)
- Location
- Aarau
- Contract
- full-time
- Posted
- 2 days ago
SalaryCHF 62'000 - 94'000
Role overview
Tasks
We are looking for people who want to move big things in the team. Social skills, willingness to learn and an active contribution to team culture count as much as our strong technical skills. We live a modern management style, promote self-responsible work and focus on an open culture of error. We do not see employee development and further education as a bonus – but as part of your journey with us.
- Development, operation and continuous optimization of scalable data pipelines for BI use cases
- Integration, transformation and processing of structured data from clinical and administrative source systems
- Ensuring data quality, availability, traceability and governance throughout the pipeline
- Collaboration with BI, Analytics and departments to implement requirements
- Automation of ETL/ELT processes and continuous development of data product standards
Requirements
- Completed studies (Informatics, Business Informatics, etc.) or comparable experience
- In-depth knowledge of data modeling as well as ETL/ELT tools, Python and SQL
- Experience with Lakehouse Data Platforms with Cloud Native Technology
- Understanding BI requirements and analytical issues as well as interest in data quality
- We are looking for people who want to move big things in the team.
- Social skills, willingness to learn and an active contribution to team culture count as much as our strong technical skills.
Main responsibilities
- We are looking for people who want to move big things in the team.
- Social skills, willingness to learn and an active contribution to team culture count as much as our strong technical skills.
- We live a modern management style, promote self-responsible work and focus on an open culture of error.
- We do not see employee development and further education as a bonus – but as part of your journey with us.
- Development, operation and continuous optimization of scalable data pipelines for BI use cases
- Integration, transformation and processing of structured data from clinical and administrative source systems
- Ensuring data quality, availability, traceability and governance throughout the pipeline
- Collaboration with BI, Analytics and departments to implement requirements
- Automation of ETL/ELT processes and continuous development of data product standards Requirements
- Completed studies (Informatics, Business Informatics, etc.) or comparable experience
Additional details
- Automation of ETL/ELT processes and continuous development of data product standards
Notes and original content
- Requirements