{"id":1843852,"url":"https://alion.io/job/mercedes-benz-full-stack-developer","title":"Full Stack Developer","company":{"id":136,"name":"Mercedes-Benz","domain":"mercedes-benz.com","url":"https://alion.io/company/mercedes-benz","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":5573},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GraphDB","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T02:45:29Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Aufgaben\n 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.\nAs a Data Engineer in the team you will…\nBuild and maintain ETL/ELT pipelines to ingest structured and unstructured data into centralized knowledge graph platforms\n\nDesign, develop and maintain semantic data models that represent heterogeneous systems (ERP, CRM, IoT) in a knowledge graph.\n\nImplement and optimize database instances for graph storage and querying.\n\nApply mapping scripts and validation rules to ensure governance compliance and data quality.\n\nOptimize graph queries and graph-based reasoning for large-scale automotive datasets.\n\nCollaborate on cloud/hybrid deployments (Azure, AWS, Alibaba Cloud) for scalability and resilience.\n\nWork closely with AI architects, data scientists, and business stakeholders to align the technical design with use-case requirements.\n\nParticipate in sprint planning and architecture.\n\nMonitor system performance, troubleshoot issues, and implement optimizations to keep our data flowing smoothly.\n\nResearch and implement new data technologies and best practices to keep our data platform cutting-edge.\n\n Qualifikationen\n Bachelor or Master’s in a quantitative degree (Computer Science, Information Systems, Engineering, Physics, Maths) or equivalent professional experience\nExperience:\n\n5+ years in data engineering\n\nIdeally experience in semantic technologies and graph database design\n\nHands-on experience with GraphDB, Neo4j or other equivalent software\n\nFluent in Python & SQL, RESTful APIs and web scraping for data pipelines and automation.\n\nFurther proficiency in Java, or Scala or similar\n\nFamiliarity with RDF representation beneficial\n\nFamiliarity with ETL frameworks (Spark especially) and cloud data platforms (Databricks).\n\nExperience with data warehousing concepts, dimensional modeling, and big data technologies\n\nAbility to design, document and optimize complex data architectures\n\nExperience in integrating data solutions into existing business processes and IT landscapes, including interface management and deployment\n\nFamiliarity with sprint-based development, CI/CD and associated tooling (JIRA, Confluence, Github etc…)\n\nSpecific Knowledge\nAbstract thinking and problem-solving for complex data relationships.\n\nFluent in English and Chinese\n\nExceptionally good communication skills towards colleagues and management\n\nExcellent written and communications skills to report back the findings in a clear, structured manner are 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