Student Assistant in Energy Renewables - Hamburg, Deutschland - DNV

DNV
DNV
Geprüftes Unternehmen
Hamburg, Deutschland

vor 1 Monat

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

About us:

We are the independent expert in assurance and risk management.

Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.


As a trusted voice for many of the world's most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.


About the role:


You will be working in a modern, international and digitalized organisation that is driven by the purpose, to safeguard life, property and the environment.


As student assistant ("Werkstudent (m/w/div)") you will be part of our Energy Systems department specializing in Renewables for Wind Onshore sector.

You will report to directly to Senior Engineer, Analytics & Engineering Netherlands & Germany.


Your key activities will include:


  • Supporting the department in daily business, e.g. site visits, developing tools
  • Automation of data analysis related tasks in the field of meteorology and wind farm production
  • Working on service development improvements
  • The position is available in our offices in Oldenburg and Hamburg.

Availability:
approx. 20 hours per week


What we offer:


  • Professional work environment in the world's largest renewables consultancy company
  • An international, technologyoriented and open company culture with flat hierarchies
  • Flexible working hours


DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion.

Diversity is fundamental to our culture and we invite you to be part of this diversity.


About you:


  • Good knowledge of programming and data analysis tools (e.g. Excel, Power BI)
  • Programming skills in Python
  • Fluent English & German (fluency in German is a must)
  • Valid driver's license
  • Attention to details
  • Good technical understanding

Personal qualities:


  • Is capable of working independently as well as a part of a team
  • Brings a proactive and handson approach
  • Is reliable and organized

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