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Paid Internship
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Time Spent
Required Degree
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46173Open Positions

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Data Engineer Intern

Rakuten
Found 3 weeks ago
Location
Darmstadt, Germany
Duration (Months)
5 Months
Time
Not disclosed
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • ETL/ELT
  • Data pipelines
  • Data models
  • Google Cloud Platform (GCP)
  • BI tools (Domo, Tableau)
  • REST APIs
  • Pandas
  • NumPy
  • Airflow

Soft Skills

  • Pragmatic generalist
  • Self-motivated
  • Creative
  • Detail-oriented
  • Collaborates well
  • Learns fast
  • Thrives in a fast-paced environment
  • Eager to learn
  • Strong time management
  • Works independently
  • Structured approach

Job Description

Design, build, and document efficient ETL/ELT data pipelines and models. Write and optimize SQL and Python for large-scale datasets. Visualize data and deliver BI dashboards/reports using our BI tools (e.g., Domo, Tableau) for internal and external partners. Prepare and ingest data into Google Cloud Platform (GCP).

Requirements

  • Experience with Python and SQL.
  • Ability to prioritize competing requests and handle multiple tasks in a fast-paced environment.
  • Initiative in communicating, asking questions, and learning.
  • Excellent oral and written communication skills in German and English.
  • Proactive, creative problem solver with strong time management.
  • Works independently with a structured approach.
  • Comfortable working with very large datasets.
  • Currently enrolled in a relevant Bachelor's or Master's degree program (e.g., Computer Science, Data Science, Engineering).

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • German
  • English

Nice to Haves

  • Experience with CI/CD tools.
  • Experience with GCP and BI tools (Domo, Tableau).
  • Experience working with REST APIs and Python data libraries (Pandas, NumPy).
  • Experience building ETL/big data pipelines with workflow tools (e.g., Airflow).
▶Apply Now

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