Associate Data Engineering

Description

We are seeking a highly skilled Data Engineer with a passion for industrial data and analytics. This role focuses on developing robust data pipelines and analytics solutions for time-series data generated from heating, refrigeration, and process equipment. You will play a key role in transforming raw industrial data into actionable insights, supporting digital product development and operational excellence.

About GEA

• GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 60 countries contribute significantly to GEA’s success – come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company.

• Why join GEA

• GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities are welcome and will be given special consideration if they are equally qualified.

Your profile and qualifications

• 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

Your responsibilities and tasks

• 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