GEA - Sustainable solutions for a world of applications

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

Develop Scalable Data Pipelines: Design and maintain robust data pipelines (stream & batch) focusing on time-series data from heating & refrigeration equipment, ensuring efficiency and scalability.
Implement Advanced Analytics Workflows: Build and deploy sophisticated analytics workflows integrating diverse data sources for actionable insights.
Collaborate with Data Teams: Work closely with data analysts and Digital Product Development Teams to understand needs and deliver quality data solutions.
Contribute to Central Data Platform: Utilize and contribute to the GEA Cloud Analytical Platform in collaboration with the GEA Digital Hub.
Engage in Data Engineering Community: Participate in the Data Engineering / Science Guild to share knowledge and build networks.
Develop High-Quality Code: Employ modern tools and techniques to create clean, efficient, and reusable code.
Apply Software Engineering Best Practices: Adhere to version control and CI/CD principles for robust software delivery.

Your Profile / Qualifications

Relevant Technical Degree: Completed studies in Computer Science, Mathematics, Engineering, or a related field.
Solid Data Engineering Experience: Proven experience (2+ years) in building and managing data pipelines and data processing solutions.
Pipeline Development Skills: Experience in constructing robust and scalable data pipelines for various data types.
Analytics Framework Proficiency: Practical experience with analytics frameworks like Spark / Databricks for large-scale data processing.
Strong Data Analysis Language Skills: Deep proficiency in data analysis languages such as SQL and Python.
Industrial Data Experience (Plus): Experience with industrial IoT, sensor data, or real-time analytics for plant process control is advantageous.
Agile Mindset: Comfortable working within Agile methodologies.
Infrastructure-as-Code (Optional): Knowledge of tools like Terraform for infrastructure automation is a plus.
AI Workflow Experience (Optional): Experience in implementing AI/ML workflows is a valuable addition.
Fluent English: Professional fluency in the English language.

We Offer:

Contribute to a Better World: Play a direct role in developing sustainable technologies that reduce emissions and benefit future generations.
Fair Tariff Salary Package: Receive a competitive and secure salary and benefits package governed by collective bargaining agreements.
Exciting Task in a Diverse Team: Join a dynamic and welcoming international team where your contributions are valued.
Real Ownership and Impact: Take ownership of your work and have the freedom to make a significant difference.
International and Innovative Environment: Work in a global, forward-thinking company that embraces new technologies.
JobRad for Sustainable Mobility: Lease a bike or e-bike at favorable conditions for a healthy and eco-friendly commute in Berlin.
Convenient On-Site Canteen: Enjoy affordable and varied meals in our company canteen.
Flexible Hybrid Work Model: Benefit from a modern hybrid work arrangement for better work-life balance.

Did we spark your interest?
Then please click apply above to access our guided application process.

Data Engineer (m/f/d)