Working Student / Werkstudent (Data Engineering)

About TowerData

TowerData teams waste countless hours wrestling with infrastructure instead of solving their businesses’ most critical problem: How to get more value from their data. Tower changes that.

We're a Python-native serverless data stack built on Apache Iceberg with powerful ETL and Lakehouse management tools. We integrate seamlessly with enterprise systems and make companies more nimble by letting them choose the best engine for each job while maintaining full data ownership.

Backed by leading VCs, we're a team of industry veterans from Snowflake and Databricks on a mission to make data engineers superheroes 🦸.

Role overview

We’re looking for a Working Student (Intern) to join our Data Engineering team part-time while completing your studies. In this role, you’ll gain hands-on experience with modern data engineering tools and practices while directly contributing to Tower’s platform and customer projects. You’ll collaborate with our engineering team on building, testing, and improving data pipelines, workflows, and integrations while learning what it takes to design reliable, scalable, and maintainable data systems.

This is a unique opportunity for a student who is passionate about data, enjoys solving problems with Python and SQL, and wants to explore the future of the modern data stack.

What you’ll do

• Build and test data pipelines in Python that integrate with real-world data sources.
• Work with SQL and analytics tools to model, transform, and validate data.
• Support customer-facing demos, prototypes, and internal analytics needs.
• Collaborate with engineers to develop and improve Tower’s internal data workflows and examples.
• Document, test, and share learnings to improve developer experience for other data engineers using Tower.
• Experiment with tools in the modern data stack (e.g., dbt, SQLMesh, Iceberg) and contribute to internal and external projects.

What we’re looking for

• Enrolled in a Bachelor’s or Master’s program in Computer Science, Data Engineering, Data Science, or a related field.
• Solid programming skills in Python.
• Good knowledge of SQL and interest in working with relational and analytical databases.
• Curiosity and willingness to learn modern data tools and infrastructure.
• Ability to work independently and commit ~15–20 hours per week during the semester (flexible around exams).
• Excellent communication skills.

Nice to have

• Some familiarity with tools and technologies like dbt, dlt, Spark, and/or Apache Iceberg.
• Some experience working with cloud platforms (AWS, GCP, or Azure).
• Prior internship or project experience in data engineering or analytics.

Why should you join us?

• Learn data engineering best practices directly from experienced engineers and founders.
• Gain exposure to real-world data infrastructure challenges at a modern startup.
• Flexible working hours to fit around your studies.
• Competitive compensation and a chance to build the foundation of your career in data engineering.