Contribute to the future of Mercedes-Benz in China by leading the charge in AI innovation – build innovative solutions, drive rapid prototypes, scale AI to new heights. As part of the AI&Data Value team, the position is responsible to help ourganization to transform an AI-driven enterprise by designing implementing a graph based knowledge management platforms that unifies data across domains.
As a Data Engineer in the team you will:
- Build maintain ETL/ELT pipelines to ingest structured unstructured data centralized knowledge graph platforms
- Design, develop maintain semantic data models that represent heterogeneous systems (ERP, CRM, IoT) in a knowledge graph.
- Implement optimize database instances fgraph storage querying.
- Apply mapping scripts validation rules to ensure governance compliance data quality.
- Optimize graph queries graph-based reasoning flarge-scale automotive datasets.
- Collaborate on cloud/hybrid deployments (Azure, AWS, Alibaba Cloud) fscalability resilience.
- Work closely with AI architects, data scientists, business stakeholders to align the technical design with use-case requirements.
- Participate in sprint planning architecture.
- Monitsystem performance, troubleshoot issues, implement optimizations to keep our data flowing smoothly.
- Research implement new data technologies best practices to keep our data platform cutting-edge.
- BachelMaster’s in a quantitative degree (Computer Science, Information Systems, Engineering, Physics, Maths) equivalent professional experience
Experience:
- 5+ years in data engineering
- Ideally experience in semantic technologies graph database design
- Hands-on experience with GraphDB, Neo4j other equivalent software
- Fluent in Python & SQL, RESTful APIs web scraping fdata pipelines automation.
- Further proficiency in Java, Scala similar
- Familiarity with RDF representation beneficial
- Familiarity with ETL frameworks (Spark especially) cloud data platforms (Databricks).
- Experience with data warehousing concepts, dimensional modeling, big data technologies
- Ability to design, document optimize complex data architectures
- Experience in integrating data solutions existing business processes IT landscapes, including interface management deployment
- Familiarity with sprint-based development, CI/CD associated tooling (JIRA, Confluence, Github etc…)
Specific Knowledge
- Abstract thinking problem-solving fcomplex data relationships.
- Fluent in English Chinese
Exceptionally good communication skills towards colleagues management
Excellent written communications skills to report back the findings in a clear, structured manner are required
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