Datamics

Full-stack Engineer

• Entwicklung & Integration von APIs, Services & Microservices
• Mitarbeit am Interoperability Layer (APIs, Events, Schema Registry)
• Umsetzung von Standards (Data Contracts, Testing, CI/CD)
• Zusammenarbeit mit Data Engineers, Architekt:innen & Domänenteams

Software Engineer – Data & Analytics Plattform

Machine Learning Engineer

• Development, training, and deployment of ML models
• Building automated ML pipelines (Databricks/MLflow)
• Feature engineering on curated data products
• Monitoring, versioning, and quality validation

Software Engineer – Data & Analytics Plattform

AI/ML Engineer – Machine Learning, Data Products