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Specialist, Plant Data Analytics. Dinamarca

Contratación en Dinamarca de Ingenieros electrónicos

Clasificación del trabajo: Profesionales científicos e intelectuales : Profesionales de las ciencias y de la ingeniería : Ingenieros no clasificados bajo otros epígrafes : Ingenieros electrónicos.

Arbejde, der forudsætter viden på højeste niveau inden for pågældende område : Arbejde inden for naturvidenskab og ingeniørvirksomhed : Ingeniørarbejde inden for elektroteknologi : Ingeniørarbejde inden for elektronik

Descripción de la oferta de trabajo:

DK, Aarhus N | Professional | Full-Time | ID: 10941 

Are you enthusiastic about designing Machine Learning solutions for Power Plant Products? Can you play a key technical role in propelling development in the Plant Performance Forecasting area? Are you a natural technical leader and motivated by setting the technical direction? Then you might be the right candidate we are hunting for!


Plant & Hybrid Solutions > Plant Hybrid Modelling & Analytics > Plant & Hybrid Data & Analytics

Plant Hybrid Modelling & Analytics, part of Vestas Power Solutions, is responsible for the products and services related to Vestas Plant Data Offerings. We have a strong and diverse team that consists of everything from Meteorologists and CFD Specialists to BI developers, Data engineers, Data Analysts, and Data Scientists. This ranges across real-time data collection from thousands of power plants, data storage, and data analytics on a combined Data warehouse and High-Performance Computing setup supporting multiple data applications for our customers. The goal is to bring down the cost of energy by leveraging the vast amount of data that Vestas collects and stores from power plants around the globe.


You need to be able to understand and address the mathematical modeling methods used Plant Data area and suggest alternatives from the Machine Learning world. You need to understand how to build robust software solutions that can be used in a production environment delivering data to customers all over the world.

Your primary responsibilities will cover:

  • Work with large, complex data sets and develop robust and scalable code to analyse it
  • Perform technical design, requirements analyses, and documentation in collaboration with the business
  • Design and build robust, maintainable solutions on Cloud or on our professional quality computing system


  • Relevant Masters' or Ph.D. degree in STEM (science, technology, engineering, and mathematics)
  • Work experience where data analytics was a major component of your work
  • Experience automating software deployments and following a continuous delivery and deployment model (Azure DevOps)
  • Experience with mathematical modeling
  • Experience building software solutions (e.g. Linux environment)
  • High proficiency in machine learning methods
  • Solid understanding of data modeling (Dataiku DSS experience is an advantage)


  • Ability to interface with diverse groups (scientific teams, developers, business users) and understand end-to-end requirements
  • Solid written and oral presentation/communication/visualisation skills
  • Knowledge within meteorology, atmospheric science, or flow modeling
  • Experience with containers and cloud architectures
  • Ability to plan, organise, prioritise tasks - and to complete assigned projects with minimal supervisions
  • Systematic problem-solving skills with a solid sense of ownership
  • Aptitude to separately and continuously learn new methods and technologies

What we offer

We offer you the opportunity to make a difference and to work in a multicultural and international company, where you have the possibility to improve your skills and develop professionally.

Additional information

Your primary work location will be Aarhus, Denmark. You can expect 10 days of travel per year.

We look forward to receiving your application no later than 23rd November 2020.

País del trabajo: Dinamarca.

Número de puestos: 1.

Empleador: Vestas Wind System A/S.

Instrucciones para solicitar:

Please apply using one of the specified channels

Forma de contacto:

  • Ciudad: Aarhus N; Código postal: 8200; Calle: Hedeager, Número: 42
  • Sitio web:

Identificador de la vacante:5229753.

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