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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

22Open Positions

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    efficy
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  • STAGE - Juriste Propriété Intellectuelle (F/H)

    LVMH
    Paris, France
    Found 1 month ago
  • Stagiaire IP/IT/Data

    Herbert Smith Freehills Kramer
    Paris, France
    Found 1 month ago
  • Alternance – Chargé de partenariats et brevets F/H

    Groupe Roullier
    Saint-Malo, France
    Found 1 month ago
  • Juriste Propriété Intellectuelle - H/F

    ADEO
    Ronchin, France
    Found 1 month ago
  • Assistant.e juriste F/H - stage

    Sony Music Entertainment France
    PARIS, France
    Found 2 months ago
  • Intellectual Property (IP) - intern

    cc
    Geneve, Switzerland
    Found 2 months ago

Data Engineer intern

efficy
Found 4 weeks ago
Location
Brussels, Belgium
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Data Management
  • Data Engineering
  • ETL pipeline
  • data architecture

Soft Skills

  • tech-savvy
  • research and analytical skills
  • translate business problems into actionable solutions

Job Description

We are seeking a motivated and tech-savvy Data Management or Data Engineering student to join our team as a Data Engineering Intern. This internship offers a unique opportunity to work closely with the Data & Analytics Manager and the Internal Operations team. You will explore our current data lake and contribute to the development of the silver and gold layers of our ETL pipeline. Throughout the internship, you will be involved in both research and hands-on implementation. By the end of your internship, you will have the opportunity to present your work directly to the C-level.

Requirements

  • Currently enrolled in a Data Management or Data Engineering program.
  • Available for a 6-month internship, with a requirement to work at the office 2 days per week.
  • Experience or strong interest in data management and data engineering.
  • Strong research and analytical skills, with the ability to translate business cases into data management solutions.
  • Fluent in English.
  • Available to start in April

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • English
▶Apply Now

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