Data Engineer Intern: Build Pipelines & Data Models (Hybrid)

Bitpanda; United States; Hybride; USD 14 000 - 20 000; Plein temps

Avantages offerts par ce poste

Hybrid working model

Stock option plan

OpenUP coaching

3 extra days off after 6 months

Udemy courses access

Merchandise and events

Résumé du poste

Bitpanda invites a Data Engineering Intern to join the Data Hub team in Barcelona, building and operating a modern data platform with experienced engineers to turn raw data into reliable, high-quality data products.

This 6-month, full-time internship starts February 1, 2027, offering direct mentorship, engineering best practices, and cross-functional collaboration with Product, Operations and Finance to deliver pragmatic data solutions.

Qualifications

• Background in Computer Science or completed a relevant coding bootcamp with a strong focus on data engineering.
• Practical experience writing Python scripts and SQL queries.
• Exposure to cloud environments (AWS, GCP, or Azure).
• Curious and growth-minded with a collaborative mindset.
• Fluent in English and able to work with analysts and engineers.

Responsabilités

• Build reliable data pipelines: write Python and SQL to design, implement, and maintain ETL pipelines.
• Create data products by developing clean datasets and models for analysts and stakeholders.
• Apply engineering standards including version control, testing, reviews, and CI/CD workflows.
• Collaborate with Product, Operations, and Finance to translate requirements into data solutions.
• Take ownership of data engineering workflows and project deliverables.

Connaissances

Python

SQL

Data engineering basics

English communication

Formation

Computer Science background or coding bootcamp

Outils

AWS

GCP

Azure

Description du poste

Bitpanda invites a Data Engineering Intern to join the Data Hub team in Barcelona, building and operating a modern data platform with experienced engineers to turn raw data into reliable, high-quality data products.

This 6-month, full-time internship starts February 1, 2027, offering direct mentorship, engineering best practices, and cross-functional collaboration with Product, Operations and Finance to deliver pragmatic data solutions.