Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources.</li><li>Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics.</li><li>Data Transformation &amp; Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives.</li><li>Data Quality &amp; Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans.</li><li>Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing).</li><li>Migration &amp; Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing).</li><li>Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects</li></ul><h1>Qualifications:</h1><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</li><li>Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database).</li><li>Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools.</li><li>Familiarity with real-time data processing tools (e.g., Kafka, Flink) is a plus.</li><li>Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform).</li><li>Strong understanding of data security, backup, and recovery best practices.</li><li>Knowledge of cloud infrastructure management, particularly on the Azure platform.</li><li>Domain Knowledge: Experience in automotive and/or chemical data domains is a plus.</li></ul>Communication &amp; Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization. Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes. Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees. Drive &amp; Execution: Inspires and motivates self and others, while taking full accountability for actions and results.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-NOK General Partnership

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.

Azure Data Engineer

Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources.</li><li>Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics.</li><li>Data Transformation &amp; Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives.</li><li>Data Quality &amp; Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans.</li><li>Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing).</li><li>Migration &amp; Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing).</li><li>Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects</li></ul><h1>Qualifications:</h1><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</li><li>Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database).</li><li>Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools.</li><li>Familiarity with real-time data processing tools (e.g., Kafka, Flink) is a plus.</li><li>Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform).</li><li>Strong understanding of data security, backup, and recovery best practices.</li><li>Knowledge of cloud infrastructure management, particularly on the Azure platform.</li><li>Domain Knowledge: Experience in automotive and/or chemical data domains is a plus.</li></ul>Communication &amp; Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization. Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes. Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees. Drive &amp; Execution: Inspires and motivates self and others, while taking full accountability for actions and results.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-NOK General Partnership

Azure Data Engineer

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About the Company

Freudenberg

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