Data Engineer

该职位来源于猎聘 Contribute to the future of Mercedes-Benz in China by leading the charge in AI innovation – build innovative solutions, drive rapid prototypes, and scale AI to new heights. As part of the AI&Data Value team, the position is responsible to help our organization to transform into an AI-driven enterprise by designing and implementing a graph based knowledge management platforms that unifies data across domains. As a Data Engineer in the team you will:

• Build and maintain ETL/ELT pipelines to ingest structured and unstructured data into centralized knowledge graph platforms
• Design, develop and maintain semantic data models that represent heterogeneous systems (ERP, CRM, IoT) in a knowledge graph.
• Implement and optimize database instances for graph storage and querying.
• Apply mapping scripts and validation rules to ensure governance compliance and data quality.
• Optimize graph queries and graph-based reasoning for large-scale automotive datasets.
• Collaborate on cloud/hybrid deployments (Azure, AWS, Alibaba Cloud) for scalability and resilience.
• Work closely with AI architects, data scientists, and business stakeholders to align the technical design with use-case requirements.
• Participate in sprint planning and architecture.
• Monitor system performance, troubleshoot issues, and implement optimizations to keep our data flowing smoothly.
• Research and implement new data technologies and best practices to keep our data platform cutting-edge.
• Bachelor or Master’s in a quantitative degree (Computer Science, Information Systems, Engineering, Physics, Maths) or equivalent professional experience Experience:
• 5+ years in data engineering
• Ideally experience in semantic technologies and graph database design
• Hands-on experience with GraphDB, Neo4j or other equivalent software
• Fluent in Python & SQL, RESTful APIs and web scraping for data pipelines and automation.
• Further proficiency in Java, or Scala or similar
• Familiarity with RDF representation beneficial
• Familiarity with ETL frameworks (Spark especially) and cloud data platforms (Databricks).
• Experience with data warehousing concepts, dimensional modeling, and big data technologies
• Ability to design, document and optimize complex data architectures
• Experience in integrating data solutions into existing business processes and IT landscapes, including interface management and deployment
• Familiarity with sprint-based development, CI/CD and associated tooling (JIRA, Confluence, Github etc…) Specific Knowledge
• Abstract thinking and problem-solving for complex data relationships.
• Fluent in English and Chinese Exceptionally good communication skills towards colleagues and management Excellent written and communications skills to report back the findings in a clear, structured manner are required