Data Engineer/Analyst / ro-831

Location
CH-5780 Rotkreuz
Start
01.06.2023
End
31.05.2024
Workload
100 %
All-in / Hour
rate negotiable
Total Hours
2.096

Deadline:

Deadline
05.05.2023

 

Data Engineer/Analyst / ro-831

Location
CH-5780 Rotkreuz
Workload
100 %

Start

01.06.2023

End

31.05.2024

DEADLINE

Deadline
05.05.2023

  • CH-5780 Rotkreuz
  • CH- 5780 Rotkreuz01.06.202331.05.2024100 % 2.096rate negotiableDeadline
    05.05.2023

For our customer located in Rotkreuz/Switzerland we are currently looking for a: Data Engineer/Analyst (m/f/d)

The perfect candidate:

As Data Engineer/Analyst you will provide scientific data support for our highly automated production. You build data pipelines and data repositories. You are ready to work in a dynamic manufacturing environment. Your experience, analytical approach, know-how and visualization skills will be crucial for identifying process improvements to ensure a stable manufacturing yield and an outstanding customer experience. You will be part of our data analytics team and will work in a dynamic environment at the pulse of our digital journey.

General Information:

    • Start date: ASAP
    • latest Start Date: 01.07.2023
    • End date: 12 months after start
    • Extension: is an option
    • Workplace: Rotkreuz
    • Workload: 100%
    • Home Office: partly possible after introduction

Tasks & Responsibilities

Main focus of the Job profile (60%) is Data Engineering (Making Data available for Data Analytics, Building Data Pipelines, Building/Maintaining Data Warehouses). The remaining 40% of the job are Data Analytics and Data Visualization.

  • Develop and implement data collection systems and develop a monitoring system to support the production teams to strategically steer and continuously improve quality improvement initiatives
  • Acquire data from primary and secondary (internal and external) sources and maintain a data warehouse. Optimize statistical efficiency and data quality in close collaboration with the production Teams
  • Provide statistical knowhow for the establishment, maintaining and continuously improving the processes in close collaboration with engineering specialists

Must Haves

  • Minimum a Bachelor Degree preferably in Computer Science or Data Science or Statistics, Mathematics
  • Min. 2 years working experience as a Data Engineer with focus on Developing and implementing and maintaining data pipelines
  • Min. 2 years experience working in an engineering environment or manufacturing environment
  • Advanced programming skills (R, Shiny, SQL, Python, git)
  • Ability to understand complexity of the issues of a manufacturing environment
  • Technical skills with data models, database design, data mining and segmentation techniques and experience using statistical packages
  • English fluent in written and spoken is mandatory, German is a strong advantage
  • Strong communicator with manufacturing interfaces experience
  • Strong analytical skills with the ability to collect, analyze and disseminate significant amounts of information with attention to detail and accuracy in big data sets
  • You have a passion for extracting conclusions out of big data sets and transform it into fact based decisions in an In-vitro Diagnostics production/operations environment
  • Ability to be proactive and take responsibility
  • Hands-on pragmatic person, problem solver, willing to go the extra mile

Nice to Haves

  • Experience with Cloud-based solutions (e.g. AWS, Snowflake)
  • DataOps.Live
  • Data Mesh
  • Data Vault 2.0
  • Supply Chain and SAP data extraction knowledge

Did we catch your interest?

The SimplyVision-Team is looking forward to receive your application (Word file is highly appreciated).

Kindly be informed that our customer is located in Switzerland. Therefore only applications from candidates within the EU or candidates holding Swiss work permission are required.

Files must be less than 5 MB.
Allowed file types: txt rtf pdf doc docx.
If not - no problem - we'll organize one.
More optional Information about your way of finding us
You agree that your data will be used to process your request. Further information and revocation instructions can be found in the privacy policy.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

  • CH-5780 Rotkreuz
  • CH- 5780 Rotkreuz01.06.202331.05.2024100 % 2.096rate negotiableDeadline
    05.05.2023

For our customer located in Rotkreuz/Switzerland we are currently looking for a: Data Engineer/Analyst (m/f/d)

The perfect candidate:

As Data Engineer/Analyst you will provide scientific data support for our highly automated production. You build data pipelines and data repositories. You are ready to work in a dynamic manufacturing environment. Your experience, analytical approach, know-how and visualization skills will be crucial for identifying process improvements to ensure a stable manufacturing yield and an outstanding customer experience. You will be part of our data analytics team and will work in a dynamic environment at the pulse of our digital journey.

General Information:

    • Start date: ASAP
    • latest Start Date: 01.07.2023
    • End date: 12 months after start
    • Extension: is an option
    • Workplace: Rotkreuz
    • Workload: 100%
    • Home Office: partly possible after introduction

Tasks & Responsibilities

Main focus of the Job profile (60%) is Data Engineering (Making Data available for Data Analytics, Building Data Pipelines, Building/Maintaining Data Warehouses). The remaining 40% of the job are Data Analytics and Data Visualization.

  • Develop and implement data collection systems and develop a monitoring system to support the production teams to strategically steer and continuously improve quality improvement initiatives
  • Acquire data from primary and secondary (internal and external) sources and maintain a data warehouse. Optimize statistical efficiency and data quality in close collaboration with the production Teams
  • Provide statistical knowhow for the establishment, maintaining and continuously improving the processes in close collaboration with engineering specialists

Must Haves

  • Minimum a Bachelor Degree preferably in Computer Science or Data Science or Statistics, Mathematics
  • Min. 2 years working experience as a Data Engineer with focus on Developing and implementing and maintaining data pipelines
  • Min. 2 years experience working in an engineering environment or manufacturing environment
  • Advanced programming skills (R, Shiny, SQL, Python, git)
  • Ability to understand complexity of the issues of a manufacturing environment
  • Technical skills with data models, database design, data mining and segmentation techniques and experience using statistical packages
  • English fluent in written and spoken is mandatory, German is a strong advantage
  • Strong communicator with manufacturing interfaces experience
  • Strong analytical skills with the ability to collect, analyze and disseminate significant amounts of information with attention to detail and accuracy in big data sets
  • You have a passion for extracting conclusions out of big data sets and transform it into fact based decisions in an In-vitro Diagnostics production/operations environment
  • Ability to be proactive and take responsibility
  • Hands-on pragmatic person, problem solver, willing to go the extra mile

Nice to Haves

  • Experience with Cloud-based solutions (e.g. AWS, Snowflake)
  • DataOps.Live
  • Data Mesh
  • Data Vault 2.0
  • Supply Chain and SAP data extraction knowledge

Did we catch your interest?

The SimplyVision-Team is looking forward to receive your application (Word file is highly appreciated).

Kindly be informed that our customer is located in Switzerland. Therefore only applications from candidates within the EU or candidates holding Swiss work permission are required.

Files must be less than 5 MB.
Allowed file types: txt rtf pdf doc docx.
If not - no problem - we'll organize one.
More optional Information about your way of finding us
You agree that your data will be used to process your request. Further information and revocation instructions can be found in the privacy policy.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

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