Bosch Group
Data Engineer
Cluj, Jucu, RO
Role snapshot
Bosch Group is hiring a Data Engineer on a full-time basis. This is a role based in Cluj, Jucu, RO. The listing highlights Manufacturing and Automotive.
- Company
- Bosch Group
- Location
- Cluj, Jucu, RO
- Job type
- Full-time
- Posted
- Nov 6, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Check your résumé against the listed skills (Manufacturing and Automotive) and give each one a concrete example: what you built or achieved, not just that you used it.
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what Bosch Group publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Company Description
About Bosch Cluj Plant
For 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 LikeABosch
Job Description
- Join the Manufacturing Data Technology & IT Systems team as a Data Engineer focused 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 using Databricks and Python to support manufacturing data workflows.
- • Integrate and transform data from multiple sources, including SAP ERP, MES, and local systems, into a centralized data 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 an Agile development environment.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Hands-on experience in developing data pipelines using Databricks and Python.
- Strong understanding of data warehouse concepts, data modeling, and structured data workflows.
- Proficient in SQL and working with large, complex datasets.
- Experience integrating data from ERP systems including SAP and MES platforms.
- Familiarity with version control systems such as Git.
- 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 as Tableau or Power BI to 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 a manufacturing environment or with industrial data systems.