Project description

Development of a sales planning and analytics platform for a premium German OEM in the Asia region, enabling data-driven business decisions through scalable data processing, integration, and API-based data consumption.
Responsibilities
- Design and develop scalable data processing solutions using Python and Databricks
- Build and maintain data pipelines for ingestion, transformation, and aggregation of business data
- Develop REST APIs using FastAPI to expose data and analytical services to consuming applications
- Design and optimize SQL queries and data models
- Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions
- Deploy and maintain solutions on Microsoft Azure
- Drive best practices in performance optimization, monitoring, testing, and code quality
- Mentor junior engineers and contribute to architectural decisions
Skills

Must have





5+ years of software/data engineering experience

Strong Python development experience

Hands-on experience with Databricks

Strong SQL and data modeling skills

Experience developing APIs with FastAPI

Experience with Azure cloud services

Understanding of ETL/ELT concepts and data pipeline design

Experience with Git and CI/CD pipelines

Nice to have

Experience with Azure Data Factory

Experience with Azure Synapse Analytics

Knowledge of Spark/PySpark

Experience building data products for Sales, Marketing, or Business Planning

Exposure to machine learning workflows
Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

Remote China, China

Req. VR-124161

BI Engineering

Automotive Industry

23/07/2026

Req. VR-124161

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