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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Working Student - Data Engineer

vaayutech
Found 1 month ago
Location
Remote, Germany
Time
Not disclosed
Work Mode
Remote
Salary
What are your salary expectations? (in euros) *
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Data Engineer
  • data transformation
  • data normalisation
  • data analysis

Soft Skills

  • knowledgeable about customer data
  • helping other members of the team
  • collaborate with a diverse, open-minded and international team
  • entrepreneurial

Job Description

Vaayu helps brands and retailers track and reduce their environmental footprint. We're hiring a working student Data Engineer to join our Data Engineering team, who is responsible for data transformation, normalisation and analysis of our customers data. Our Mission Your key responsibilities will include: * Transforming structured and unstructured customer data into our standardised data formats. * Contributing to the development of our transformation pipelines, as there always ways to improve how we do things! * Being knowledgeable about customer data, and helping other members of the team address data-related questions from our customers. What we can offer you * Opportunity to acquire equity in a fast growing business * Work at a mission-driven start-up with sustainability experts * Be flexible and remote-first, working from wherever you feel most inspired * Collaborate with a diverse, open-minded and international team * Grow and develop within an expanding team of entrepreneurial experts Vaayu is an equal opportunity employer. We do not believe in discrimination of any kind and are proud to have an international team from over 27+ different countries. We nurture an inclusive and collaborative environment for all and are committed to reflecting a diverse range of backgrounds, experience and thinking.

Requirements

  • Working student
  • Data Engineer
  • data transformation, normalisation and analysis of our customers data.
  • Transforming structured and unstructured customer data into our standardised data formats.
  • Contributing to the development of our transformation pipelines, as there always ways to improve how we do things!
  • Being knowledgeable about customer data, and helping other members of the team address data-related questions from our customers.

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering
▶Apply Now

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