Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments.
Freudenberg Sealing Technologies is a longstanding technology expert and market leader for sophisticated and novel applications in sealing technology and electric mobility solutions worldwide. Thanks to our unique materials and technology expertise, we are a proven supplier for demanding products and applications, as well as a development and service partner to customers in the automotive industries and in general industries. With our approximately 13,500 employees worldwide, we generate sales of about 2.5 billion euros.
Some of your Benefits Flexible Work Models: We allow for flexible work models to ensure both professional and personal success. International Opportunities: Grow in your career through international exchange and global job opportunities. Personal Development: We offer a variety of trainings to ensure you can develop in your career. Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement. Safe Environment: We strive to ensure safety remains a top priority, and provide a stable environment for our employees. Be part of a forward-thinking company where your contributions make a significant impact. Collaborate with a dynamic team and work on cutting-edge data projects that drive our business forward. If you are a data enthusiast with a passion for innovation, we want to hear from you!
Data Engineer (f/m/d) Responsibilities Your Impact: 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, or a related field (Master's degree preferred). Proven Experience: Demonstrated experience as a Data Engineer or in a similar role. Skills needed to be successful in this position: Programming and Database Expertise: Proficiency in programming languages such as Python, strong knowledge of SQL, and experience with both relational and non-relational databases. Pipeline and Data Tools: Experience in building and optimizing data pipelines, architectures, and data sets; familiarity with tools like Databricks, Azure Data Factory, and Microsoft Fabric. Cloud and Infrastructure: Knowledge of infrastructure as code (e.g., Terraform) and state-of-the-art cloud technologies, particularly the Azure platform. Team Player: Dedicate your creativity and motivation to the team's vision, and work well within a collaborative environment. Communication Skills: Strong communication skills in English (German is a plus). The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.
Additional Information Jessica Schmid
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