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Manufacturing Data Engineer | Databricks, Python & SQL

TalentCloud Group149 open roles

Where
Zürich, Switzerland
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Your applicationOpen nowManufacturing Data Engineer | Databricks, Python & SQLTalentCloud Group · Zürich, Switzerland

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. TalentCloud Group postings stay open a median of 15 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: first seen 1 hour ago

TalentCloud Group median: 15 days open

The posting

Data Engineer (Manufacturing) | Databricks, Python & SQL

Location: Zurich Region, Switzerland (hybrid)

Employment: Permanent

Industry: High-Tech Manufacturing & Engineering

Are you a Data Engineer who enjoys building reliable data pipelines, working with modern technologies and seeing the real-world impact of your work?

We are supporting an established international engineering and manufacturing organisation in the Zurich region as they expand their Data Engineering capabilities.

This is an opportunity to work at the intersection of Data Engineering, IT and Manufacturing, developing solutions that connect production systems, improve data accessibility and support smarter operational decisions.

You will work with technologies including Databricks, Python, SQL and modern reporting platforms, while collaborating with technical and business teams across international manufacturing operations.

What You will Be Doing

  • Data Pipeline Development: Design, build, optimise and maintain data pipelines that process and integrate manufacturing and operational data.
  • Data Platforms: Develop and support data solutions using Databricks, Python and Microsoft SQL Server.
  • Manufacturing Data Integration: Work with data originating from ERP, MES and other production-related systems.
  • Reporting & Analytics: Enable effective reporting and data-driven decision-making using tools such as Power BI or Tableau.
  • International Projects: Support data integration and information flows across multiple manufacturing locations.
  • Cross-Functional Collaboration: Work closely with IT, software engineering, production teams and business stakeholders to translate operational requirements into practical technical solutions.
  • Continuous Improvement: Enhance existing data architectures, improve pipeline performance and contribute to the evolution of the organisation's data platforms.
  • Knowledge Sharing: Support colleagues in understanding and using data models, reporting tools and data solutions effectively.

What We are Looking For

Technical Experience:

  • Degree in Computer Science, Electrical Engineering, Software Engineering or a related technical discipline.
  • Strong experience with Python and SQL, including Microsoft SQL Server.
  • Hands-on experience with Databricks and data pipeline development.
  • Experience designing, implementing and maintaining ETL/ELT processes.
  • Experience working with data in a manufacturing or industrial environment.
  • Familiarity with ERP and MES systems, their data structures and integration requirements. SAP experience would be particularly valuable.
  • Experience with reporting or visualisation technologies such as Power BI or Tableau.
  • Good communication skills in German and English, both written and spoken.

Why Join?

You 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.

What You Can Expect:

  • Interesting Technical Challenges: Work with modern data technologies and complex manufacturing data environments.
  • International Collaboration: Contribute to projects involving engineering, IT and manufacturing teams across different locations.
  • Ownership & Impact: Help develop and improve data solutions that support important operational processes.
  • Flexible Working: Flexible working hours and home-office arrangements.
  • Strong Pension Benefits: Above-standard employer pension contributions.
  • Collaborative Culture: Join a technically focused environment where knowledge sharing, initiative and continuous improvement are encouraged.
  • Professional Development: Expand your expertise in Data Engineering, industrial data integration and modern data platforms.
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