How do I apply for the Data Engineer Intern position at Rakuten 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 Data Engineer Intern role?

This position is a not disclosed, structured as a hybrid role, with an expected duration of 5 months.

What educational background or degree level is required for the Data Engineer Intern at Rakuten?

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

Does Rakuten 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.

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).

Data & Analytics

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

2Open Positions