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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

14Open Positions

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Working Student Product Customer Engagement - Data

MediaMarktSaturn
Found 2 weeks ago
Location
Ingolstadt, Germany
Time
Part-time
Work Mode
Not disclosed
Salary
Good salary
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • SQL
  • Python
  • Google BigQuery
  • GCP
  • ETL/ELT
  • Airflow
  • dbt
  • AI/ML
  • analytics
  • event-based data

Soft Skills

  • analytical and structured thinking
  • Curiosity and willingness to learn
  • Ability to work independently with guidance
  • innovative approach
  • fresh ideas
  • agility
  • openness
  • respect

Job Description

We are looking for you as a Working Student (m/f/d) in our Product delivery team to drive our strategic data projects forward with your innovative approach and fresh ideas. Our interdisciplinary team is characterized by agility, openness and respect. With us, you have the opportunity to contribute new impulses, actively shape processes and shape the retail media world of MediaMarktSaturn in a forward-looking way. The best solutions come from bringing together diverse perspectives. Embracing diversity is key to achieving our vision of becoming the Experience Champion. We value inclusion, foster equal opportunity, and welcome you to be part of our team.

Requirements

  • Enrolled in a Master’s program (e.g., Computer Science, Data Engineering, Data Science, Information Systems)
  • Strong SQL skills (joins, aggregations, window functions)
  • Good knowledge of Python (data handling with pandas)
  • Hands-on experience with Google BigQuery
  • Querying large datasets
  • Basic understanding of partitioning and performance optimization
  • Understanding of data structures and data modeling basics
  • Exposure to GCP (Google Cloud Platform) ecosystem
  • Basic understanding of ETL/ELT pipelines
  • Familiarity with tools like Airflow, dbt, or similar
  • Initial experience with AI/ML workflows
  • Data preparation, feature engineering
  • Awareness of analytics or event-based data (e.g., tracking, CDP)
  • Strong analytical and structured thinking
  • Curiosity and willingness to learn
  • Ability to work independently with guidance
  • Fluent in English (German is a plus)

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • German is a plus
▶Apply Now

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