1. Lead the architectural development of the Data Management Platform to host and combine all kind of different data sources and streams.
2. Work with all stakeholders in close collaboration to understand their further needs in next expansions of the capability of the plant operation & monitoring system architecture.
3. Make sure that the technology stack is right and work closely with cloud provider and software suppliers.
4. Act as a Mentor, lead and guide the Data Engineering Team
The following skills are required:
5. University degree in IT
6. Strong interest in the automation of industrial plant operation and monitoring.
7. Good knowledge in event-driven architecture, in cloud, as infrastructure as code
8. Good Java and / or Python
9. Experience in data handling and processing (real time, IoT, various sources)
10. Strong data analytics background ELK, Kibana, Kafka, machine learning etc.
11. Strong communication capability and pleasure in acting as interface in between stakeholders
12. English proficiency, German is a plus
Relevant Knowledge: Python, SQL, Java, AWS, Azure, DevOps, IoT, ELK, Elastic Search, Kibana, Kafka, DevOps, Microservices, Advance Analytics, Machine learning, prototyping, connector, dashboards, system monitoring, infrastructure as code, event driven architecture.