How do I apply for the Digital Technology Student Worker - Data, CPH position at the LEGO Group and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Digital Technology Student Worker - Data, CPH role?

This position is a part-time, structured as a hybrid role, with an expected duration of 6 months.

What educational background or degree level is required for the Digital Technology Student Worker - Data, CPH at the LEGO Group?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does the LEGO Group provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

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

Data & Analytics

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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