职位描述
- Work in an agile team and collaborate with colleagues all over the world to develop and operate reliable data pipelines from source to product to ensure compliant access and use of data related to the local Product Supply organization
- Collaborate closely with relevant stakeholders in China and beyond to capture data‑related business requirements and translate them into efficient technical solutions to ensure a fit‑for‑purpose technical implementation
- Work with architects and subject matter experts to capture and manage dependencies between data solutions to ensure a healthy data ecosystem
- Actively exchange with peers on best‑practices, technical patterns and solutions and apply them in the local context to build and maintain a consolidated and scalable data landscape for the Product Supply organization in China
- Mentor junior engineers and uphold high standards in code review, testing, and documentation of the implemented data solutions in China
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field
- 5+ years of experience in data engineering, data operations, or a similar role, delivering production‑grade data pipelines and services
- Strong ownership of deliverables, high standards for code review and peer mentorship, and a commitment to clear documentation, metadata and lineage publishing, and sustainable data engineering standards and practices
- Excellent analytical and problem‑solving skills
- Understanding of requirements related to product supply and manufacturing in the pharmaceutical industry
- Good communication and collaboration abilities to work independently in a self‑organized team
- Fluent in Chinese and English
- Willingness and ability to learn and integrate new tools and technologies to enhance work efficiency and effectiveness
- Understanding of Data Product concepts and lifecycle management, including data quality key dimensions and tools such as Great Expectations, dbt tests, or Elementary
- Hands‑on experience building Retrieval‑Augmented Generation (RAG) data pipelines, including automated document ingestion, preprocessing, chunking, embedding generation, and loading data into vector stores for efficient retrieval
- Familiarity with RAG architectures and components such as vector databases, embedding models, and LLMs; experience designing these systems is a plus
- Hands‑on proficiency in SQL, Python, PySpark, or Spark to build scalable data pipelines using modern data processing frameworks such as Databricks or Snowflake
- Proven experience with ETL/ELT tools such as Kettle/Pentaho, DataWorks, or similar
- Ability to integrate data from source systems using interface patterns such as ODBC, GraphQL, OData, REST, or event streaming
- Experience with cost and performance optimization and FinOps practices for cloud data platforms such as Snowflake or Databricks, ensuring reliable production operations
- Understanding of modern lakehouse table formats such as Apache Iceberg and Delta Lake, and ability to design, build, maintain and document conceptual, logical and physical data models
- Understanding of data architecture patterns such as data hub, data mesh, or data fabric
- Experience with GxP and computerized system validation is a plus
奖金绩效
工作地点

公司信息
公司介绍
拜耳是一家全球化创新型企业,在生命科学领域的健康与营养方面具有核心竞争力。拜耳致力于以创新的产品帮助解决当今人类社会所面临的一些重大挑战。随着人类预期寿命不断延长,人口不断增长,拜耳通过专注于预防、缓解和治疗疾病的研发活动来改善人们的生活质量。与此同时,拜耳通过突破性创新帮助农户、消费者得到健康、安全、可负担的食物,并且生产过程对社区、对环境友好。“拜耳:科技创造美好生活”是我们的使命,我们的目标是改善人们的生活质量。拜耳于1863年创立,迄今已有150多年的历史,公司总部位于德国勒沃库森,全球拥有超过10万名员工。2019年财富世界500强排行榜中拜耳排名240位。早在1882年拜耳公司进入中国市场,至今已经超过130年。随着中国成为世界上增长最快的市场之一,拜耳也逐步加大了在这里的投入。拜耳中国总部位于上海,截至2019年12月底,拥有超过9,000名员工。2019年拜耳在中国的销售额超过到37亿欧元。拜耳在中国有三大事业部:处方药、健康消费品和作物科学,并运营着多家工厂。早在1936年拜耳就开始在上海生产阿司匹林,目前本地生产在中国的销售额中所占比重越来越大。伴随着正在进行的一些重大投资项目,拜耳致力于成为在中国发展的主要引擎。多年以来,拜耳作为人们心目中的理想雇主屡获殊荣,2019年我们荣膺中国杰出雇主、中国典范雇主、非凡雇主101、中国大学生喜爱雇主等多个奖项。同时,拜耳也是提供均等机会的雇主。我们尊重并公平对待他人,不论其宗教、国籍、民族、文化、性别或性取向,我们重视并弘扬多元文化。“敢想|勇为”(Passion to innovate | Power to change)是拜耳的雇主品牌宣言,它概括了拜耳作为雇主的全部特点:其工作文化与公司对目前和未来员工的期望以及对他们的回报。

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