Working at Freudenberg: We will wow your world!
Responsibilities: Design and Build Data Pipelines: Construct and maintain robust, scalable data pipelines to seamlessly integrate data from multiple sources.
Data Acquisition and Storage: Develop efficient database solutions to collect, store, and secure data, ensuring accessibility and protection.
Data Transformation: Create algorithms to convert raw data into actionable insights, aligning with our business objectives.
Pipeline Optimization: Continuously evaluate and enhance existing data systems and processes for improved efficiency and reliability.
Quality Assurance: Implement systems to validate and ensure the accuracy and consistency of data sets.
Collaboration:



Work closely with machine learning engineers, data scientists, analysts, and other stakeholders to meet the organization's data-centric needs.
Qualifications: Educational Background: Bachelor's degree in Computer Science, Data Engineering, Information Systems, Business Informatics, or a related field (Master's degree preferred).
Proven Experience: Demonstrated experience as a Data Engineer or in a similar role.
SAP Data experience with Azure services and Infrastructure-as-Code concepts is a plus.
Business Analytics

📌 It Data Engineer (Las Palmas de Gran Canaria)
🏢 Freudenberg
📍 Las Palmas de Gran Canaria