Data Engineer

• 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.
• 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.