Job Responsibilities:
* Lead the architectural development of the Data Management Platform to host and combine all kinds of different data sources and streams.
* Work with all stakeholders in close collaboration to understand their further needs in the next expansions of the capability of the plant operation & monitoring system architecture.
* Ensure that the technology stack is appropriate and work closely with cloud providers and software suppliers.
* Act as a mentor, lead, and guide the Data Engineering Team.
The following skills are required:
* University degree in IT.
* Strong interest in the automation of industrial plant operation and monitoring.
* Good knowledge in event-driven architecture, cloud, and infrastructure as code.
* Proficient in Java and/or Python.
* Experience in data handling and processing (real-time, IoT, various sources).
* Strong data analytics background (ELK, Kibana, Kafka, machine learning, etc.).
* Strong communication skills and enjoyment in acting as an interface between stakeholders.
* English proficiency; German is a plus.
Relevant Knowledge: Python, SQL, Java, AWS, Azure, DevOps, IoT, ELK, Elastic Search, Kibana, Kafka, Microservices, Advanced Analytics, Machine Learning, prototyping, connectors, dashboards, system monitoring, infrastructure as code, event-driven architecture.
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