Wirtschaftsinformatiker/in (Fachschule)
Core
Design and build scalable data and AI solutions, modern lakehouse architectures, and data pipelines to help companies unlock the full potential of their data.
Role type
Data & AI Engineer (Databricks/Fabric/Azure)
Builds
Scalable data platforms, modern lakehouse architectures, and data pipelines for analytics and AI applications
Domain
Data Engineering, Cloud Infrastructure, AI/ML
Deliverable
production ML models
Required skills
Databricks, Microsoft Fabric, Microsoft Azure, ETL/ELT, Data Modeling, CI/CD, Cloud Architecture, Data Integration, Data Quality Monitoring
Preferred skills
Data Warehouse, Data Lake, DevOps practices
Responsibilities
Develop and operate modern data warehouse, data lake, and lakehouse architectures; Ensure data quality, performance, monitoring, and stability of the data platform; Implement data models and support reporting, analytics, and AI use cases; Automate deployments and data processes using CI/CD and DevOps practices; Support architectural decisions and continuous development of the cloud and data landscape
Seniority
Mid-level, hands-on IC
