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Data engineer (m/f/d)

GEA Group
Data Engineer
Inserat online seit: 25 Mai
Beschreibung

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. 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.

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