Build and maintain data pipelines (stream & batch) with a focus on time-series data from heating & refrigeration equipment Implement Advanced Analytics workflows leveraging data from different sources Collaborate closely with data analysts and Digital Product Development Teams Leverage the GEA Cloud Analytical Platform and collaborate with the GEA Digital Hub on its improvement Engage in the Data Engineering / Science Guild and establish a network across the organization Leverage state-of-the-art tools and techniques to develop clean, efficient, and reusable code Apply software engineering best practices (e.g., version control, CI/CD) Completed studies in Computer Science, Mathematics, Engineering or similar field Proven 2 years of experience in Data Engineering Experience in building robust and scalable data pipelines Experience in using analytics frameworks like Spark / Databricks Deep knowledge of data analysis languages (e.g. SQL, Python) Experience with industrial IoT, sensor data, or real-time analytics driven plant process control Agile mindset Optional: Knowledge of Infrastructure-as-Code tools like Terraform Optional: Experience in implementing AI workflows Fluent English language skills We Offer: The chance to contribute to a better world Tariff salary package An exciting task in a diverse, friendly and motivated team True ownership in your area of responsibility and the freedom to make a difference International and innovative environment JobRad Canteen Hybrid work model