Intern, Data Engineering
Your Mission
As a Data Engineering Intern in our Data Hub team in Barcelona, you will build and operate a modern data platform that empowers teams across Bitpanda. Working alongside experienced data engineers, you will gain hands-on experience turning raw data into reliable, high-quality data products. This role provides direct mentorship, best-in-class engineering standards, and an environment where your growth is actively supported.
Hiring for these positions kicks off in October 2026 for a 6-month, full-time role, starting on February 1, 2027.
What you'll do
Build reliable data pipelines: Write clean Python and SQL code to design, implement, and maintain ETL pipelines for data ingestion and transformation.
Create impactful data products: Develop clean datasets and data models that empower analysts, business stakeholders, and decision-makers across Bitpanda.
Master engineering standards: Apply solid engineering practices, including version control, automated testing, code reviews, and CI/CD workflows.
Collaborate cross-functionally: Partner with teams across Product, Operations, and Finance to translate business requirements into pragmatic data solutions.
Manage projects: Take ownership of data engineering workflows and project deliverables under the guidance of experienced team members.
Who you are
Data enthusiast: You have a foundational background in Computer Science or completed a relevant coding bootcamp with a strong focus on data engineering.
Python & SQL skilled: You have practical experience writing Python scripts and SQL queries through personal projects, coursework, or practical training.
Cloud & data aware: You grasp core data engineering concepts and have basic exposure to cloud environments (preferably AWS, or GCP/Azure).
Curious & growth-minded: You are highly motivated, comfortable asking questions, eager to receive feedback, and excited to solve tough engineering problems.
Collaborative team player: You are fluent in English with strong communication skills and eager to work alongside analysts and engineers to build useful data tools.