Associate Data Engineering

Overview

Associate Data Engineering role focused on building time-series industrial data pipelines and analytics solutions, turning raw industrial data into actionable insights.

What you'll do

• Design, build, and maintain scalable batch and streaming data pipelines for time-series data.
• Integrate data from multiple industrial and enterprise sources to operationalize advanced analytics workflows.
• Collaborate with Data Analysts and Digital Product teams to enable data-driven features and insights.
• 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 including version control, CI/CD, and code reviews.

What you'll need

• Have a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
• Have 2–5 years of experience in data engineering or related roles.
• Build robust, scalable data pipelines.
• Have hands-on experience with Spark/Databricks or similar big data frameworks.
• Have programming skills in Python and SQL.
• Have understanding of data modeling, ETL/ELT processes, and data architecture.
• Have strong communication skills with fluency in English.