Data Engineer (m/f/d)
At GEA, engineering for a better world is our purpose, and our mission is crystal clear: We safeguard future generations by providing sustainable engineering solutions in the food, beverage and other key industries.
In our HRT (Heating and Refrigeration Technologies) division, our proven comprehensive portfolio - including heat pumps - plays a crucial role towards the decarbonization of cities and the reduction of global CO₂ emissions.
In this role you report to the Head of Digital Infrastructure within Central Service Organization (CSO).
Responsibilities / Tasks
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)
Your Profile / Qualifications
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
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