Data Engineering Intern - Hybrid, Mentorship & Growth

Bitpanda

Barcelona

Hybrid

EUR 10,000 - 16,000

Full time

10 hours ago
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Benefits offered by this job

Hybrid work model
Stock options
OpenUP coaching
Extra 3 days PTO
Udemy courses
New parent leave

Job summary

Bitpanda in Barcelona is seeking a Data Engineering Intern to help build and operate a modern data platform. You will work with seasoned data engineers to turn raw data into reliable data products, gaining hands-on experience with ETL pipelines and data modeling.

The 6-month, full-time internship starts February 1, 2027, with mentorship, best-in-class standards, and growth support. We offer a hybrid work model, exposure to cloud environments, and opportunities to learn via Udemy and other

Qualifications

  • Foundational background in Computer Science or completed a relevant coding bootcamp with a focus on data engineering.
  • Practical experience writing Python scripts and SQL queries.
  • Basic exposure to cloud environments (AWS, GCP, or Azure).
  • Fluent English with strong communication skills.
  • Willingness to learn and grow in a data engineering role.

Responsibilities

  • Build ETL pipelines using Python and SQL for data ingestion and transformation.
  • Create datasets and data models for analysts and stakeholders across Bitpanda.
  • Apply engineering practices: version control, automated testing, code reviews, and CI/CD.
  • Collaborate with Product, Operations and Finance to translate requirements into data solutions.
  • Own data engineering workflows and deliverables under guidance.

Skills

Python
SQL
Data pipelines
Data modelling
English communication

Education

BSc/CS or equivalent

Tools

AWS
GCP
Azure

Job description

Bitpanda in Barcelona is seeking a Data Engineering Intern to help build and operate a modern data platform. You will work with seasoned data engineers to turn raw data into reliable data products, gaining hands-on experience with ETL pipelines and data modeling.

The 6-month, full-time internship starts February 1, 2027, with mentorship, best-in-class standards, and growth support. We offer a hybrid work model, exposure to cloud environments, and opportunities to learn via Udemy and other

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