IT Data Engineer, f/m/d

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🕒 May 9

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Freudenberg Group

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1849

🏢 Enterprise

🎯 Recruiter

👥 HR Tech

Enterprise • Recruitment • HR Tech

Freudenberg Group is a global company that has developed a specialized platform for job seekers to explore career opportunities within the company. The platform provides a job listing page with search and filter capabilities, and detailed job offer pages where users can learn more about open positions and start the application process. Freudenberg integrates third-party content such as YouTube videos and maps from Google Maps and Baidu Maps to enhance user experience on their job pages. They emphasize user privacy and session management with the use of necessary cookies to ensure security and maintain session consistency throughout the job application process.

📋 Description

• 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

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred) • Demonstrated experience as a Data Engineer or in a similar role • Proficiency in programming languages such as Python, strong knowledge of SQL, and experience with both relational and non-relational databases • Experience in building and optimizing data pipelines, architectures, and data sets • Familiarity with tools like Databricks, Azure Data Factory, and Microsoft Fabric • Knowledge of infrastructure as code (e.g., Terraform) and state-of-the-art cloud technologies, particularly the Azure platform • Strong communication skills in English (German is a plus)

🏖️ Benefits

• Equal opportunity employer committed to diversity and inclusion