Semantic Data Engineer
siemens
Job Description
- Designing and implementing solutions to process and transform large semantic datasets into optimized formats suitable for downstream and embedded systems.
- Working with semantic web technologies including RDF, OWL, JSON-LD, and Turtle to structure and manage data effectively.
- Developing scalable data transformation pipelines, potentially leveraging cloud-based architectures.
- Bridging the gap between semantic data models and operational systems, solving complex system integration challenges.
- Delivering production-grade solutions that go beyond proof-of-concept and are robust, scalable, and maintainable.
- Collaborating closely with domain experts and cross-functional engineering teams to align technical solutions with business needs.
- Enabling future AI and advanced analytics use cases through well-structured, high-quality semantic data.
- Driving best practices in semantic modeling, data quality, and performance optimization.