Data EngineerFull-timeLegal Entity: Robert Bosch S.R.L.Company DescriptionAbout Bosch Cluj PlantFor over a decade, the Bosch Cluj Plant has become a strategic hub for innovation and production, making a significant impact on the technological landscape in Romania. Through our constant commitment to excellence in quality and innovation, we develop a diverse range of modern products for the mobility industry, focusing on delivering cutting-edge solutions to our international customers. Inspired by passion for technology, we have consistently evolved, solidifying our position as the most desired employer in Cluj for the engineering and business candidates. We pay special attention to the development of our community, inspiring future generations and governing our impact on the environment.Our promise to our colleagues is rock-solid: we grow together,we enjoy our work, and inspire each other. Join us and see the difference.Work LikeABoschJob DescriptionJoin the Manufacturing Data Technology & IT Systems team as aData Engineerfocused on Databricks and modern data engineering practices.• As we embrace Industry 4.0 and become a data-driven powerhouse, you'll play a critical role in designing and implementing scalable data pipelines and infrastructure that power smart decision-making.• You’ll work with Databricks, Python, and our centralized data warehouse, integrating data from systems like SAP and MES to deliver well-structured, high-quality datasets for analytics and reporting.• Collaborate with analysts, developers, and business stakeholders to understand data needs, define requirements, and enable reliable and structured data flows.• Develop and maintain efficient data pipelines usingDatabricksandPythonto support manufacturing data workflows.• Integrate and transform data from multiple sources, includingSAP ERP,MES, and local systems, into a centralizeddata warehouse.• Ensure data accuracy, consistency, and reliability by implementing validation, quality checks, and monitoring processes.• Optimize pipeline performance for scalability and timely data delivery.• Document pipeline logic, workflows, and data structures to support transparency, maintenance, and knowledge sharing.• Contribute to continuous improvement of data architecture, workflows, and best practices in anAgile developmentenvironment.QualificationsBachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.Hands-on experience in developing data pipelines usingDatabricksandPython.Strong understanding ofdata warehouse concepts, data modeling, and structured data workflows.Proficient inSQLand working with large, complex datasets.Experience integrating data fromERP systems including SAPandMES platforms.Familiarity with version control systems such asGit.Ability to work independently and collaboratively with technical and business teams.Strong attention to detail and a structured approach to problem solving.Nice to have skills:• Experience with BI tools such asTableauorPower BIto support downstream reporting use cases.• Understanding of data governance concepts, data validation tools, or metadata management practices.• Exposure to CI/CD practices or scripting using Databricks CLI or APIs.• Previous experience in amanufacturing environmentor with industrial data systems.By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyI'm interestedI'm interestedPrivacy NoticeImprint

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