Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Enterprise Semantic Modeling: Develop and manage scalable enterprise data products and semantic models rather than building individual reports.</li><li>Business Logic &amp; KPI Implementation: Translate complex business processes and stakeholder requirements into reusable business logic and KPIs.</li><li>Cross-Functional Architecture Alignment: Ensure consistent reporting, analytics, and AI solutions by following data standards and architecture principles.</li><li>Performance Optimization: Continuously optimize semantic models and data products for scalability, performance, and fast query execution.</li><li>Governance &amp; Lifecycle Management: Maintain trust in data through high data quality, consistent naming, good documentation, and KPI certification.</li><li>Data &amp; AI Team Collaboration: Work closely with Data Engineers on data pipelines and with AI teams to create AI-ready semantic models.</li><li>Self-Service Enablement: Empower business users with reusable semantic assets for self-service analytics.</li></ul><h1>Qualifications:</h1><ul><li>Education &amp; Experience: Bachelor’s degree in an IT-related major (e.g., Computer Science, Data Science, Information Technology, or Information Systems) paired with 3 to 5 years of professional working experience in a data environment.</li><li>Core Modeling Expertise: Strong, proven experience in dimensional data modeling and designing enterprise-level semantic layers (e.g., Semantic Data Engineer, Analytics Engineer, or Modeling-focused BI Engineer).</li><li>Advanced Languages: Advanced knowledge of DAX (Measures, Evaluation Context, Performance tuning) and strong SQL skills for data manipulation and querying.</li><li>Microsoft Ecosystem Proficiency: Deep hands-on experience with Microsoft Fabric, Power BI Semantic Models, and modern Microsoft data technologies.</li><li>Modern Data Architecture: Strong understanding of Data Warehouse, Lakehouse, and Data Product architecture, with basic Python skills to support data engineering concepts.</li><li>Business &amp; KPI Acumen: Translates complex business requirements and data concepts into technical models.</li><li>Stakeholder Communication: Strong communication and collaboration skills, with the ability to connect business and technical teams.</li><li>Engineering Mindset: A structured and quality-focused professional dedicated to standardization, reusable solutions, and continuous learning.</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.Klüber Lubrication (Shanghai) Co. Ltd.

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.

IT Service Professional – Semantic Layer & Data Products

Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Enterprise Semantic Modeling: Develop and manage scalable enterprise data products and semantic models rather than building individual reports.</li><li>Business Logic &amp; KPI Implementation: Translate complex business processes and stakeholder requirements into reusable business logic and KPIs.</li><li>Cross-Functional Architecture Alignment: Ensure consistent reporting, analytics, and AI solutions by following data standards and architecture principles.</li><li>Performance Optimization: Continuously optimize semantic models and data products for scalability, performance, and fast query execution.</li><li>Governance &amp; Lifecycle Management: Maintain trust in data through high data quality, consistent naming, good documentation, and KPI certification.</li><li>Data &amp; AI Team Collaboration: Work closely with Data Engineers on data pipelines and with AI teams to create AI-ready semantic models.</li><li>Self-Service Enablement: Empower business users with reusable semantic assets for self-service analytics.</li></ul><h1>Qualifications:</h1><ul><li>Education &amp; Experience: Bachelor’s degree in an IT-related major (e.g., Computer Science, Data Science, Information Technology, or Information Systems) paired with 3 to 5 years of professional working experience in a data environment.</li><li>Core Modeling Expertise: Strong, proven experience in dimensional data modeling and designing enterprise-level semantic layers (e.g., Semantic Data Engineer, Analytics Engineer, or Modeling-focused BI Engineer).</li><li>Advanced Languages: Advanced knowledge of DAX (Measures, Evaluation Context, Performance tuning) and strong SQL skills for data manipulation and querying.</li><li>Microsoft Ecosystem Proficiency: Deep hands-on experience with Microsoft Fabric, Power BI Semantic Models, and modern Microsoft data technologies.</li><li>Modern Data Architecture: Strong understanding of Data Warehouse, Lakehouse, and Data Product architecture, with basic Python skills to support data engineering concepts.</li><li>Business &amp; KPI Acumen: Translates complex business requirements and data concepts into technical models.</li><li>Stakeholder Communication: Strong communication and collaboration skills, with the ability to connect business and technical teams.</li><li>Engineering Mindset: A structured and quality-focused professional dedicated to standardization, reusable solutions, and continuous learning.</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.Klüber Lubrication (Shanghai) Co. Ltd.

IT Service Professional – Semantic Layer & Data Products

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Freudenberg

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