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Data Engineer

This is a unique opportunity to become part of the team that defines the future of Grundfos production globally. Taking offset in our factory of the future in Bjerringbro, you will analyse our data and take part in defining, developing and maturing projects that will determine our production methods for years to come.

 

Welcome to Grundfos and the factory of the future

You will join the AME Digital Development department. Here, you and 8 colleagues develop methodologies that we try out in our factory of the future, which is a dedicated factory in Bjerringbro dedicated to developing methods to increase our efficiency. Stepping into our team, you join 8 specialists as their data wizard.

 

The majority of your time you will spend on data visualisation, data analysis and defining machine learning algorithms to find patterns we can’t see today. Doing so, you will add value to our colleagues, customers and competitiveness,” explains Senior Manager Ulrich Brorson.

 

Perform data analysis and visualisation on big data projects

You will support our big data projects by working extensively on gaining knowledge and insights through the exploration and study of Grundfos production data. This includes working with data we already possess while also specifying and finding the data we need. Your ability to provide accurate conclusions makes you key in proving or rejecting various hypotheses based on data.

 

You will:

 

  • Gain knowledge and insight by exploring data and defining machine learning algorithms to support big data projects
  • Make decisions on own projects within the budget and scope of the project
  • Be responsible for finding and driving a network of external partners on a global scale within data analysis, data visualisation and big data management related to Operations
  • Apply MS Azure as your primary tool box, just like R and Python will be instrumental in your daily work

 

Apply the knowledge and ideas of your colleagues

Collaboration will be a great part of your day. In the team, you will work in sprints, which include methodologies being tested in the production. Also, you will collaborate with our IT department, Big Data IOT Lab, as well as specialists and managers in the organization. Doing so, your work will uncover new possibilities for big data projects, which you then mature together with your colleagues in the team.

 

Detail-oriented data wiz

It is not important whether you recently obtained your master’s degree or have several years of experience. More importantly, you manage to draw on the expertise and ideas of your colleagues to grow projects and analyse data to benefit our production. Furthermore, you thrive deep diving into the details of your analyses to make the right conclusions. And you:

 

  • Hold a master’s degree in computer science, data engineering, signal processing or similar
  • Know R and Python – it is an advantage, but not a prerequisite if you know MS Azure as well
  • Are familiar with machine learning
  • Speak and write English effortlessly

 

Additional information

If you have questions or want to know more about the position, please contact Senior Manager, AME Digital Development, Ulrich Brorson on +41 87 50 44 31.

 

If this job sounds appealing to you, please send your resume and cover letter today and no later than 10 February 2018 by clicking on “Apply”. We expect interviews to be held on the 20 February 2018.

We look forward to hearing from you.

 


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329747611Phoenix-d8e4194112018-01-25T20:08:32.787Data Engineer

This is a unique opportunity to become part of the team that defines the future of Grundfos production globally. Taking offset in our factory of the future in Bjerringbro, you will analyse our data and take part in defining, developing and maturing projects that will determine our production methods for years to come.

 

Welcome to Grundfos and the factory of the future

You will join the AME Digital Development department. Here, you and 8 colleagues develop methodologies that we try out in our factory of the future, which is a dedicated factory in Bjerringbro dedicated to developing methods to increase our efficiency. Stepping into our team, you join 8 specialists as their data wizard.

 

The majority of your time you will spend on data visualisation, data analysis and defining machine learning algorithms to find patterns we can’t see today. Doing so, you will add value to our colleagues, customers and competitiveness,” explains Senior Manager Ulrich Brorson.

 

Perform data analysis and visualisation on big data projects

You will support our big data projects by working extensively on gaining knowledge and insights through the exploration and study of Grundfos production data. This includes working with data we already possess while also specifying and finding the data we need. Your ability to provide accurate conclusions makes you key in proving or rejecting various hypotheses based on data.

 

You will:

 

  • Gain knowledge and insight by exploring data and defining machine learning algorithms to support big data projects
  • Make decisions on own projects within the budget and scope of the project
  • Be responsible for finding and driving a network of external partners on a global scale within data analysis, data visualisation and big data management related to Operations
  • Apply MS Azure as your primary tool box, just like R and Python will be instrumental in your daily work

 

Apply the knowledge and ideas of your colleagues

Collaboration will be a great part of your day. In the team, you will work in sprints, which include methodologies being tested in the production. Also, you will collaborate with our IT department, Big Data IOT Lab, as well as specialists and managers in the organization. Doing so, your work will uncover new possibilities for big data projects, which you then mature together with your colleagues in the team.

 

Detail-oriented data wiz

It is not important whether you recently obtained your master’s degree or have several years of experience. More importantly, you manage to draw on the expertise and ideas of your colleagues to grow projects and analyse data to benefit our production. Furthermore, you thrive deep diving into the details of your analyses to make the right conclusions. And you:

 

  • Hold a master’s degree in computer science, data engineering, signal processing or similar
  • Know R and Python – it is an advantage, but not a prerequisite if you know MS Azure as well
  • Are familiar with machine learning
  • Speak and write English effortlessly

 

Additional information

If you have questions or want to know more about the position, please contact Senior Manager, AME Digital Development, Ulrich Brorson on +41 87 50 44 31.

 

If this job sounds appealing to you, please send your resume and cover letter today and no later than 10 February 2018 by clicking on “Apply”. We expect interviews to be held on the 20 February 2018.

We look forward to hearing from you.

 

2018-02-11T01:57:13.373 This is a unique opportunity to become part of the team that defines the future of Grundfos production globally. Taking offset in our factory of the future in Bjerringbro, you will analyse our data and take part in defining, developing and maturing projects that will determine our production methods for years to come. Welcome to Grundfos and the factory of the future You will join the AME Digital Development department. Here, you and 8 colleagues develop methodologies that we try out in our factory of the future, which is a dedicated factory in Bjerringbro dedicated to developing methods to increase our efficiency. Stepping into our team, you join 8 specialists as their data wizard. The majority of your time you will spend on data visualisation, data analysis and defining machine learning algorithms to find patterns we can t see today. Doing so, you will add value to our colleagues, customers and competitiveness, explains Senior Manager Ulrich Brorson. Perform data analysis and visualisation on big data projects You will support our big data projects by working extensively on gaining knowledge and insights through the exploration and study of Grundfos production data. This includes working with data we already possess while also specifying and finding the data we need. Your ability to provide accurate conclusions makes you key in proving or rejecting various hypotheses based on data. You will: Gain knowledge and insight by exploring data and defining machine learning algorithms to support big data projectsMake decisions on own projects within the budget and scope of the projectBe responsible for finding and driving a network of external partners on a global scale within data analysis, data visualisation and big data management related to OperationsApply MS Azure as your primary tool box, just like R and Python will be instrumental in your daily work Apply the knowledge and ideas of your colleagues Collaboration will be a great part of your day. In the team, you will work in sprints, which include methodologies being tested in the production. Also, you will collaborate with our IT department, Big Data IOT Lab, as well as specialists and managers in the organization. Doing so, your work will uncover new possibilities for big data projects, which you then mature together with your colleagues in the team. Detail-oriented data wiz It is not important whether you recently obtained your master s degree or have several years of experience. More importantly, you manage to draw on the expertise and ideas of your colleagues to grow projects and analyse data to benefit our production. Furthermore, you thrive deep diving into the details of your analyses to make the right conclusions. And you: Hold a master s degree in computer science, data engineering, signal processing or similarKnow R and Python it is an advantage, but not a prerequisite if you know MS Azure as wellAre familiar with machine learningSpeak and write English effortlessly Additional information If you have questions or want to know more about the position, please contact Senior Manager, AME Digital Development, Ulrich Brorson on 41 87 50 44 31. If this job sounds appealing to you, please send your resume and cover letter today and no later than 10 February 2018 by clicking on Apply . We expect interviews to be held on the 20 February 2018. We look forward to hearing from you.11Jobnetd8e41941100000000000IDK_OFIR_02DKDanmark228DKK2018-02-10T00:00:000010http://dk.grundfos.com/karriere/jobs/job.html?jobid=133420EuropaDanmarkEuropaDanmarkJyllandØstjyllandFavrskovEuropaDanmarkJyllandMidtjyllandViborg3088015GRUNDFOS HOLDING A/S11Poul Due Jensens Vej 78850BjerringbroDKDanmark156.381054409.67348340
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