Full Stack Developer

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