Data Engineer (Manufacturing) | Databricks, Python & SQL

pbIndustry: /b High-Tech Manufacturing Engineering /ppAre you a Data Engineer who enjoys building reliable data pipelines, working with modern technologies and seeing the real-world impact of your work? /ppWe are supporting an established international engineering and manufacturing organisation in the Zurich region as they expand their Data Engineering capabilities. /ppThis is an opportunity to work at the intersection of bData Engineering, IT and Manufacturing /b, developing solutions that connect production systems, improve data accessibility and support smarter operational decisions. /ppYou will work with technologies including bDatabricks, Python, SQL and modern reporting platforms /b, while collaborating with technical and business teams across international manufacturing operations. /ph3What You will Be Doing /h3ullibData Pipeline Development: /b Design, build, optimise and maintain data pipelines that process and integrate manufacturing and operational data. /lilibData Platforms: /b Develop and support data solutions using Databricks, Python and Microsoft SQL Server. /lilibManufacturing Data Integration: /b Work with data originating from ERP, MES and other production-related systems. /lilibReporting Analytics: /b Enable effective reporting and data-driven decision-making using tools such as Power BI or Tableau. /lilibInternational Projects: /b Support data integration and information flows across multiple manufacturing locations. /lilibCross-Functional Collaboration: /b Work closely with IT, software engineering, production teams and business stakeholders to translate operational requirements into practical technical solutions. /lilibContinuous Improvement: /b Enhance existing data architectures, improve pipeline performance and contribute to the evolution of the organisation's data platforms. /lilibKnowledge Sharing: /b Support colleagues in understanding and using data models, reporting tools and data solutions effectively. /li /ulh3What We are Looking For /h3ullibDegree in Computer Science, Electrical Engineering, Software Engineering or a related technical discipline. /b /lilibStrong experience with Python and SQL, including Microsoft SQL Server. /b /lilibHands-on experience with Databricks and data pipeline development. /b /lilibExperience designing, implementing and maintaining ETL/ELT processes. /b /lilibExperience working with data in a manufacturing or industrial environment. /b /lilibFamiliarity with ERP and MES systems, their data structures and integration requirements. SAP experience would be particularly valuable. /b /lilibExperience with reporting or visualisation technologies such as Power BI or Tableau. /b /lilibGood communication skills in German and English, both written and spoken. /b /li /ulpYou will have the opportunity to apply modern Data Engineering technologies in a complex, real-world manufacturing environment, where your work directly supports production efficiency, data quality and operational decision-making. /ph3What You Can Expect: /h3ullibInteresting Technical Challenges: /b Work with modern data technologies and complex manufacturing data environments. /lilibInternational Collaboration: /b Contribute to projects involving engineering, IT and manufacturing teams across different locations. /lilibOwnership Impact: /b Help develop and improve data solutions that support important operational processes. /lilibFlexible Working: /b Flexible working hours and home-office arrangements. /lilibCollaborative Culture: /b Join a technically focused environment where knowledge sharing, initiative and continuous improvement are encouraged. /lilibProfessional Development: /b Expand your expertise in Data Engineering, industrial data integration and modern data platforms. /li /ul