Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Design and Build Data Pipelines: Construct and maintain robust, scalable data pipelines to seamlessly integrate data from multiple sources.</li><li>Data Acquisition and Storage: Develop efficient database solutions to collect, store, and secure data, ensuring accessibility and protection.</li><li>Data Transformation: Create algorithms to convert raw data into actionable insights, aligning with our business objectives.</li><li>Pipeline Optimization: Continuously evaluate and enhance existing data systems and processes for improved efficiency and reliability.</li><li>Quality Assurance: Implement systems to validate and ensure the accuracy and consistency of data sets.</li><li>Collaboration: Work closely with machine learning engineers, data scientists, analysts, and other stakeholders to meet the organization's data-centric needs.</li></ul><h1>Qualifications:</h1><ul><li>Educational Background: Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred).</li><li>Proven Experience: Demonstrated experience as a Data Engineer or in a similar role.</li></ul>Skills needed to be successful in this position:<ul><li>Programming and Database Expertise: Proficiency in programming languages such as Python, strong knowledge of SQL, and experience with both relational and non-relational databases.</li><li>Pipeline and Data Tools: Experience in building and optimizing data pipelines, architectures, and data sets; familiarity with tools like Databricks, Azure Data Factory, Celonis.</li><li>Cloud and Infrastructure: Knowledge of infrastructure as code (e.g. Terraform) and state-of-the-art cloud technologies, particularly the Azure platform.</li><li>Team Player: Dedicate your creativity and motivation to the team’s vision, and work well within a collaborative environment.</li><li>Communication Skills: Strong communication skills in English (German is a plus).</li></ul>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.Freudenberg Sealing Technologies S.L.U.

Freudenberg e-Power Systems is one of the world's leading suppliers of emission-neutral energy systems for heavy-duty applications. With its experience and expertise in battery and fuel cell technology, the company offers tailor-made solutions, in particular combined systems, for sustainable and economical e-mobility. With over 800 employees, Freudenberg e-Power Systems supports its customers from application development through to production, commissioning and service.
The company is part of the global Freudenberg Group, which has four business areas: Seals and Vibration Control Technology, Nonwovens and Filtration, Household Products as well as Specialties and Others. In 2022 the Group generated sales of more than 11 billion euros and employed more than 50,000 associates in around 60 countries.

Data Engineer (f/m/d)

Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Design and Build Data Pipelines: Construct and maintain robust, scalable data pipelines to seamlessly integrate data from multiple sources.</li><li>Data Acquisition and Storage: Develop efficient database solutions to collect, store, and secure data, ensuring accessibility and protection.</li><li>Data Transformation: Create algorithms to convert raw data into actionable insights, aligning with our business objectives.</li><li>Pipeline Optimization: Continuously evaluate and enhance existing data systems and processes for improved efficiency and reliability.</li><li>Quality Assurance: Implement systems to validate and ensure the accuracy and consistency of data sets.</li><li>Collaboration: Work closely with machine learning engineers, data scientists, analysts, and other stakeholders to meet the organization's data-centric needs.</li></ul><h1>Qualifications:</h1><ul><li>Educational Background: Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred).</li><li>Proven Experience: Demonstrated experience as a Data Engineer or in a similar role.</li></ul>Skills needed to be successful in this position:<ul><li>Programming and Database Expertise: Proficiency in programming languages such as Python, strong knowledge of SQL, and experience with both relational and non-relational databases.</li><li>Pipeline and Data Tools: Experience in building and optimizing data pipelines, architectures, and data sets; familiarity with tools like Databricks, Azure Data Factory, Celonis.</li><li>Cloud and Infrastructure: Knowledge of infrastructure as code (e.g. Terraform) and state-of-the-art cloud technologies, particularly the Azure platform.</li><li>Team Player: Dedicate your creativity and motivation to the team’s vision, and work well within a collaborative environment.</li><li>Communication Skills: Strong communication skills in English (German is a plus).</li></ul>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.Freudenberg Sealing Technologies S.L.U.

Data Engineer (f/m/d)

About the Job

About the Company

Freudenberg

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