Business Intelligence (AI / Data Engineer) 商务智能 (人工智能/数据工程师)

Objective of job

Build comprehensive datasets and maintain relevant pipelines that enable advanced analytics, dashboards, and reporting for the captive finance business. The Data Engineer will ensure high-quality, timely, and reliable data access for use cases in sales and marketing, pricing and commissions, and delinquency and collections, while working closely with Data Scientists to operationalize machine learning and analytics solutions.

Job Description

• Design, implement, and maintain robust ETL/ELT pipelines to source, clean, and structure data.
• Partner with Data Scientists to prepare datasets, engineer features, and enable model deployment.
• Implement the vectorization of voice and text data using the encoder of the Generative AI Transformer architecture.
• Ensure performance, scalability, and reliability of data warehouse and analytics systems.
• Implement data validation and monitoring processes to ensure data quality.
• Collaborate with business units and IT to integrate new internal and external data sources.
• Support dashboards, AI use cases, and BI solutions with efficient backend data structures as needed.
• Contribute to data governance and compliance efforts, including metadata management and audit readiness.
• Present technical options and architecture choices in workshops and management meetings.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Sound knowledge of feature engineering and algorithm derivation, with 7+ years of experience in data engineering, data warehousing, or big data environments.
• Proficiency in SQL, Spark, preferably PySpark, modern scheduler tools, and Python programming.
• Experience with on-premises data lakes and data warehouses.
• Strong understanding of data modeling, pipeline orchestration, and performance optimization.
• Experience supporting analytics and machine learning workflows, including data preparation, feature stores, and deployment.
• 5+ years of experience using modern data storage based on FOSS tools such as Delta Table, Chroma, and Neo4j.
• 5+ years of experience developing customized feature encoding algorithms and using orchestrator tools such as Dagster and Prefect.
• Experience with prompt engineering, API usage, and mainstream large language models, including fine-tuning, quantization, and deployment.
• Familiarity with the complete RAG process, including text chunking, embedding model tuning, and vector database retrieval optimization.
• Experience with end-to-end AI Agent development and frameworks such as LangChain, Dify, and Ollama.
• Proficiency in Linux operating systems, system configuration, and troubleshooting.
• Strong communication skills and ability to work with business stakeholders and present solutions.
• Fluency in Chinese and English.
• Self-motivated and self-driven.

Benefits

• Events for employees
• Health benefits
• Mobility offers
• Hybrid work possible
• Employee discounts possible
• Flextime possible
• Good public transport
• Barrier-free workplace

Contact

Mercedes-Benz Mobility & Technology Service (Beijing) Co., Ltd., LSH Tower C, 8 Wangjing Street, 100102 Beijing. Recruitment China: recruitment_cn@mercedes-benz.com