job details
summary
- rotkreuz, zug
- temporary
- job categoryfinance & economics
job details
Do you have expertise in establishing and managing data pipelines (ETL) from diverse sources like SQL databases, CSVs, and machine logs, as well as the capacity to develop interactive dashboards and visualization tools?
If yes, this role is a great chance for you!
...
General Information:
Tasks & Responsibilities:
Must Haves:
We thank you for your application!
show more- Start Date: 01.05.2026
- Latest Possible Start Date: 01.08.2026
- Planned Duration of Employment: unlimited
- Workload: 100%
- Home Office: Yes, max. Once a week
- Team: 14 people
- Working Hours: Standard
Tasks & Responsibilities:
- Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensors
- Improve and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availability
- Act as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standards.
- Improve and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysis
- Support in defining and improving image analysis methods and tools to derive quantitative feature values from images
- Extend the data infrastructure with additional information, e.g. from sensor performance characterization
- Data driven improvements of manufacturing processes
Must Haves:
- Completed technical training in process engineering, data science, bioinformatics, or similar professional education
- Professional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environment
- Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files
- Ability to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teams
- Skills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunity
- Good communication skills in a multicultural and multidisciplinary environment
- A thorough way of working and documentation
- Motivated team player with passion in promoting and driving fast-paced and ambitious projects
- Aptitude to understand and improve the underlying technical processes
- Proficiency in both English and German
We thank you for your application!
Do you have expertise in establishing and managing data pipelines (ETL) from diverse sources like SQL databases, CSVs, and machine logs, as well as the capacity to develop interactive dashboards and visualization tools?
If yes, this role is a great chance for you!
General Information:
- Start Date: 01.05.2026
- Latest Possible Start Date: 01.08.2026
- Planned Duration of Employment: unlimited
- Workload: 100%
- Home Office: Yes, max. Once a week
- Team: 14 people
- Working Hours: Standard
Tasks & Responsibilities:
- Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensors
- Improve and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availability
- Act as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standards.
- Improve and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysis
- Support in defining and improving image analysis methods and tools to derive quantitative feature values from images
- Extend the data infrastructure with additional information, e.g. from sensor performance characterization
- Data driven improvements of manufacturing processes
Must Haves:
We thank you for your application!
show more- Completed technical training in process engineering, data science, bioinformatics, or similar professional education
- Professional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environment
- Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files
- Ability to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teams
- Skills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunity
- Good communication skills in a multicultural and multidisciplinary environment
- A thorough way of working and documentation
- Motivated team player with passion in promoting and driving fast-paced and ambitious projects
- Aptitude to understand and improve the underlying technical processes
- Proficiency in both English and German
We thank you for your application!
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