Lenovo

Role Summary

We are hiring a Senior Data Engineer to support WW Service Supply Chain operations across Repair, Reverse, and Refurbish. This role focuses on billing data systems, complex SQL procedures, Python ETL, and cross-system data integration. The ideal candidate can own ambiguous legacy logic, turn business rules into reliable data processes, and use AI-assisted coding tools to work efficiently.

Job Responsibilities

• Maintain and improve billing-related data workflows that support Repair, Reverse, and Refurbish operations.
• Analyze, optimize, and document complex SQL stored procedures and core business logic.
• Build and maintain Python ETL pipelines for data ingestion, transformation, and synchronization across systems.
• Support the evolution of billing logic toward more granular repair-level or RMA-level data structures.
• Investigate data issues, reconcile cross-system inconsistencies, and improve data quality and traceability.
• Partner with business, operations, and finance stakeholders to translate process rules into maintainable data solutions.
• Produce clear technical documentation and structured handover materials for key jobs, procedures, and data sources.
• Use AI-assisted coding and rapid prototyping practices to accelerate analysis, documentation, and delivery.

Job Requirements：

• Bachelor's degree or above in Computer Science, Information Systems, Data Engineering, Mathematics, or a related field.
• 5+ years of experience in data engineering, analytics engineering, or backend data platform development.
• Strong SQL skills, including complex queries, aggregations, stored procedures, and performance tuning.
• Solid Python experience for ETL, automation, and data processing.
• Good understanding of data warehousing and layered data models.
• Experience supporting business-critical or legacy data systems with complex logic.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Comfortable using AI-assisted coding tools to improve development efficiency and code understanding.

Preferred Qualifications

• Experience in billing, finance data, supply chain, repair operations, or reverse logistics.
• Familiarity with Service Supply Chain workflows, especially Repair, Reverse, and Refurbish.
• Experience refactoring legacy data processes into more scalable and traceable designs.
• Exposure to reinforcement learning, optimization, or allocation-rule modeling is a plus, but not required.
• AI agent deployment experience.

What We Value

• Strong ownership of high-impact data and business logic.
• Practical problem-solving in complex and evolving system environments.
• Clear documentation habits and structured handover capability.
• A fast, iterative working style with effective use of AI-assisted coding.