aiomatic builds a digital maintenance assistant that reduces unplanned downtime through predictive maintenance. It continuously analyzes machine data, detects anomalies early, and notifies teams with clear, actionable context.

As part of the Application Engineering team, you’ll take ownership of our data storage and warehouse foundations (schemas, performance, reliability, and access patterns), while also shipping production-grade backend services and RESTful APIs that power our customer application and anomaly review workflows.

Location: Hamburg (hybrid). You must be based within commutable distance to Hamburg, as one weekly on-site day is part of the role.

Tasks

• Data Storage Ownership: Own the foundations of our data storage layer, including schema design, migrations, performance tuning, and reliability.


• Data Modeling: Design clear, scalable schemas and data marts for ana...