Mercedes-Benz

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

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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/marketing, pricing/commissions, and delinquency/collections, and work closely with Data Scientists to operationalize ML 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. Responsible for implementing the vectorization of voice and text data using the encoder of the Gen 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/external data sources.

  • Support the other data topics if needed, e.g. dashboards, AI use case and BI solutions with efficient backend data structures, contribute to data governance and compliance efforts, including metadata management and audit readiness, present technical options and architecture choices in workshops and management meetings.