Associate Data Engineering

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.