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This posting was retired on 11 September 2026 and is no longer accepting applications. The description below is kept for reference.

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Full Stack Developer

Mercedes-Benz Group China Ltd.

Mercedes-Benz Group China Ltd., Beijing (Hybrid)

Job Type Full time

Experience 5+ years

Posted 4 months ago

Hybrid 5+ years Level

Tasks

Contribute to the future of Mercedes-Benz in China by leading AI innovation, building innovative solutions, driving rapid prototypes, and scaling AI. As part of the AI & Data Value team, design and implement graph-based knowledge management platforms that unify 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 representing heterogeneous ERP, CRM, and IoT systems 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 and hybrid deployments using Azure, AWS, and Alibaba Cloud.
Work with AI architects, data scientists, and business stakeholders to align technical designs with use-case requirements.
Participate in sprint planning and architecture.
Monitor system performance, troubleshoot issues, and implement optimizations.
Research and implement new data technologies and best practices.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Physics, Maths, or a related quantitative field, or equivalent professional experience.
At least 5 years of experience in data engineering.
Ideally, experience with semantic technologies and graph database design.
Hands-on experience with GraphDB, Neo4j, or equivalent software.
Fluency in Python, SQL, RESTful APIs, and web scraping for data pipelines and automation.
Further proficiency in Java, Scala, or similar languages.
Familiarity with RDF, ETL frameworks such as Spark, and cloud data platforms such as Databricks.
Experience with data warehousing, dimensional modeling, and big data technologies.
Ability to design, document, and optimize complex data architectures.
Experience integrating data solutions into business processes and IT landscapes.
Familiarity with sprint-based development, CI/CD, and tools including JIRA, Confluence, and GitHub.
Fluent in English and Chinese, with strong communication and problem-solving skills.