
Design, build, and maintain scalable data pipelines (batch & streaming) with a focus on time-series data from heating, refrigeration, and process equipment
Develop and operationalize advanced analytics workflows by integrating data from multiple industrial and enterprise sources
Work closely with Data Analysts and Digital Product teams to enable data-driven product features and insights
Contribute to and enhance the GEA Cloud Analytics Platform in collaboration with the Digital Hub
Ensure high data quality, reliability, and performance across pipelines and platforms
Apply modern software engineering practices (version control, CI/CD, code reviews)
Actively participate in the Data Engineering / Data Science Guild to drive knowledge sharing and standardization
Build reusable, modular, and efficient data solutions using state-of-the-art tools
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
2–5 years of experience in Data Engineering or related roles
Strong experience in building robust and scalable data pipelines
Hands-on experience with Spark / Databricks or similar big data frameworks
Strong programming skills in Python and SQL
Experience handling time-series data, industrial IoT, or real-time analytics (highly preferred)
Understanding of data modeling, ETL/ELT processes, and data architecture
Familiarity with Agile methodologies and collaborative development
Strong communication skills with fluency in English
GEA 是食品和饮料加工行业最大的供应商之一,它还为许多其他加工行业提供服务。超过 60 个国家/地区的大约 18,000 名员工都为 GEA 的成功做出了重要贡献 – 快来加入我们!我们提供充满趣味和挑战的任务、与国际团队共处的积极工作环境以及在全球性公司成长和发展的个人机遇。

GEA 职业
GEA 获得欧洲杰出雇主调研机构认证为杰出雇主。我们在领导力、道德与诚信以及可持续发展方面表现优异。

GEA 职业
我们是一家全球工业工程公司,也是世界上食品、饮料和制药等行业最大的系统供应商之一。GEA 在世界各地提供令人振奋且多样化的培训和职业机会。

GEA 职业
GEA 的历史可以追溯到 140 多年前。如今,我们在富有弹性的客户行业开展业务,拥有超过 18,000 名敬业的员工,并与 150 多个国家/地区开展业务。