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Paid Internship
Work Mode
Time Spent
Required Degree
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21Open Positions

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Digital Technology Student Worker - Data, CPH

the LEGO Group
Found 3 weeks ago
Location
Copenhagen, Denmark
Duration (Months)
6 Months
Time
Part-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • GitHub
  • SQL
  • Python
  • PySpark
  • Databricks
  • Power BI

Soft Skills

  • curious
  • willing to learn
  • positive
  • team-player attitude
  • passionate about digital technology
  • eager to contribute

Job Description

In the first half of 2026, we are excited to welcome a new student worker within data . Data Student Worker * We expect proficiency in standard software engineering practices, experience with GitHub, and familiarity with SQL, Python, or PySpark . An understanding of data lake and lakehouse concepts, along with experience using Databricks or Power BI, is essential. * Tasks include implementing a self-service PowerBI governance tool, supporting AI and data science use cases on Databricks, assisting with a proof of concept for data catalog implementation, and discovering new use cases for agentic AI on Databricks, all with senior support or through self-paced discovery.

Requirements

  • proficiency in standard software engineering practices
  • experience with GitHub
  • familiarity with SQL, Python, or PySpark
  • understanding of data lake and lakehouse concepts
  • experience using Databricks or Power BI
  • currently enrolled in Denmark in a Bachelor’s, Master’s, or Erhvervsakademi (professional academy) program in fields related to data
  • Preferably graduating summer 2028 or beyond
  • at least 2 years left of studies
  • curious and willing to learn
  • positive, team-player attitude
  • Can be present 15–20 hours per week
  • ideally with 1–2 days at our Copenhagen Hub
  • passionate about digital technology and eager to contribute to real projects
  • prepare your CV and cover letter in English

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • understanding of data lake and lakehouse concepts
  • experience using Databricks or Power BI
▶Apply Now

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