Associate Data Engineering

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.

Responsibilities / 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

Your Profile / 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

Did we spark your interest?

Then please click apply above to access our guided application process.