Intern, Data Engineer

About the role

Who we are

We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we’re here to help people trust themselves enough to build their financial freedom — for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want — with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 7 million customers, making us one of Europe’s safest and most secure platforms that powers modern investing.

Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It’s these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let’s go!

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).