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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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  • Internship/Werkstudent Data Governance & Data Management (m/w/d)

    Liebherr Aerospace and Transportation
    Nussbaumen, Switzerland
    Found 1 week ago
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Internship/Werkstudent Data Governance & Data Management (m/w/d)

Liebherr Aerospace and Transportation
Found 1 week ago
Location
Nussbaumen, Switzerland
Time
Part-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • SQL
  • Python
  • R
  • SSIS
  • SSMS
  • Databricks
  • Azure Data Lake
  • Power BI
  • Neo4j

Soft Skills

  • Strong analytical mindset
  • Open-minded, outgoing, and proactive personality
  • Hands-on mentality
  • strong willingness to learn and explore new topics
  • Enjoys collaborating in an international environment
  • Self-driven work ethic
  • attention to detail
  • Demonstrated self-management and organisational skills

Job Description

High-quality information assets drive business performance, foster transparency, and spark innovation throughout our processes. By treating data as a product, we guarantee accurate insights for Liebherr products and services and support reliable, efficient, and compliant operations across our global business. This role is an exciting opportunity to dive deep into the world of enterprise data, learn hands on from seasoned professionals, contribute to global data governance initiatives, and help shape the way data is structured, controlled, and used across the Liebherr Group. We are looking for a keen graduate student/student who is interested in getting first experience on the job. This is a temporary engagement with a duration of 12 months and must be filled with a workload between 60% and 100%.

Requirements

  • Practical experience with SQL (queries, joins, transformations).
  • Experience with Python or R for data analysis.
  • Strong analytical mindset with the ability to structure complex information.
  • (Business) Fluency in English (written and spoken).
  • Initial exposure to data engineering or analytics tools (e.g., SSIS, SSMS, Databricks, Power BI).
  • Understanding of data governance, metadata, or master data management concepts would be an asset.
  • Experience with knowledge graph technology, especially open source (e.g. Neo4j).
  • Conversational German would be an asset.
  • Open-minded, outgoing, and proactive personality.
  • Hands-on mentality with a strong willingness to learn and explore new topics.
  • Enjoys collaborating in an international environment.
  • Self-driven work ethic, attention to detail
  • Demonstrated self-management and organisational skills to structure workday / week independently after briefing.

Related Field

  • Data & Analytics

Related Subfield

  • Data Management

Languages

  • English

Nice to Haves

  • Initial exposure to data engineering or analytics tools (e.g., SSIS, SSMS, Databricks, Power BI).
  • Understanding of data governance, metadata, or master data management concepts would be an asset.
  • Experience with knowledge graph technology, especially open source (e.g. Neo4j).
  • Conversational German would be an asset.
▶Apply Now

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