Intern Data Engineering (all genders)

Holidu; München; Hybrid; EUR 13.000 - 20.000; Vollzeit

Benefits dieser Stelle

Urban Sports Club

Premium gym membership

Hybrid work policy

Zusammenfassung

Holidu invites you to join our Data Engineering internship in Munich for 6 months. You’ll build and support data pipelines, learn ETL/ELT workflows with Airflow and dbt, and collaborate with a growing BI team to impact real user experiences.

You’ll gain hands-on cloud experience in AWS, work on data migrations, and explore AI-assisted coding with cutting-edge tools, while developing in Python and SQL with a team-first culture.

Qualifikationen

• Currently studying or recently graduated in Computer Science, Data Engineering, or a related field.
• Solid foundations in Python and/or SQL: you've used them in projects or coursework and you're ready to level up.
• Curiosity about data systems: data pipelines, databases, and cloud computing are interesting to you.
• Team-first mindset: you ask questions, share what you learn, and aren't afraid to say "I don't know yet".
• Familiarity with Git: basic version control should be familiar.

Aufgaben

• Build and support data pipelines - develop, test, and maintain ETL/ELT workflows using Airflow and dbt.
• Dig into data quality - monitor pipeline performance, flag issues, and collaborate on smarter solutions.
• Get hands-on with cloud infrastructure - learn how AWS services store, query, and move data at scale.
• Support data migration efforts - help analysts transition from legacy SQL setups to modern dbt + Athena workflows.
• Explore AI-assisted development - use cutting-edge tools to boost productivity and learn how AI affects coding.

Kenntnisse

Python

SQL

Data pipelines

Git

Cloud basics

Ausbildung

Bachelors or Masters in CS/Data Eng/related

Tools

Airflow

dbt

Docker

AWS

Jobbeschreibung

Holidu is one of the world’s fastest-growing vacation rental technology companies. Our mission is to make booking and hosting holiday homes free of doubt and full of joy, by helping hosts generate more bookings with less work and helping guests find a holiday home they truly enjoy. Our team of 700 colleagues from 60+ nations shares a passion for tech, an ambition for constant improvement, and a relentless drive to bring the best experience to more than 40k vacation rental hosts and 4 million annual guests.

Your future team

You’ll be joining our Data Engineering team inside the Business Intelligence department — a crew of five experienced engineers and growing (3 Seniors, 1 Engineering Manager, and 1 Staff Engineer) who genuinely love what they do. We work hand in hand with our Data Analytics and Data Science colleagues to build the data foundation that powers Holidu’s growth.

We’re the team that keeps the data flowing - reliably, efficiently, and at scale. From building and maintaining core data pipelines to enabling other teams to do their best work, we’re always thinking about impact.

Duration: 6 months

Location: Munich, 2-3 office days per week

Our Tech Stack

• Data Pipelines: Airflow + dbt-core, powered by Python, for fast, reliable workflows.
• Data Storage & Querying: Redshift (with decentralized data sharing), Athena, and DuckDB.
• Cloud & DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.
• Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.
• Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.
• Automation & AI: Extensive use of AI tools like Claude, Copilot, and Codex.

Role

Your role in this journey

In this internship, you’ll get your hands on real problems with real impact. Here’s what your day-to-day might look like:

• Build and support data pipelines - develop, test, and maintain ETL/ELT workflows using tools like Airflow and dbt, making sure our data is always reliable and ready to use.
• Dig into data quality - monitor pipeline performance, flag issues, and work with the team to find smarter, more efficient solutions.
• Get hands-on with cloud infrastructure - learn how we use AWS services to store, query, and move data at scale.
• Support data migration efforts - help analysts transition from legacy SQL setups to modern dbt + Athena workflows.
• Explore AI-assisted development - use cutting-edge LLM tools to boost productivity and learn how AI is changing the way we write and review code.

Your Backpack Is Filled With You Don't Need To Know Everything, That's What The Internship Is For. But Here's What Will Set You Up For Success

• Currently studying or recently graduated in Computer Science, Data Engineering, or a related field
• Solid foundations in Python and/or SQL: you've used them in projects or coursework and you're ready to level up.
• Curiosity about data systems: you find topics like data pipelines, databases, and cloud computing genuinely interesting.
• A team-first mindset: you ask questions, share what you learn, and aren't afraid to say "I don't know yet".
• Familiarity with Git: basic version control shouldn't be new to you.
• Bonus points: if you've played around with tools like Airflow, dbt, Docker, or any cloud platform (AWS, GCP, etc.).
• Bonus points: if you've explored LLM tools or AI-assisted coding, we value people who experiment.

Our adventure includes

• Compensation: Get a fair salary.
• Impact: Make a difference for hundreds of thousands of monthly users.
• Growth: Take responsibility from day one and develop through regular feedback.
• Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.
• Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.
• Fitness: Get a Urban Sports Club corporate subscription or a premium gym membership at a discounted rate.

Need a sneak peek?

• Check out the adventure that awaits you on Instagram @lifeatholidu.
• See also what Life as an intern looks like at Holidu!

Want to travel with us?

We are committed to diversity in all aspects of our business. We encourage applications from all genders, all corners of the world and all individual backgrounds. You are welcome to submit your application without a photo and without stating your gender, date of birth, marital status, nationality or disability status (if applicable).

If you require any special assistance when arranging interviews, office visits or the recruitment process in general, please contact the relevant HR person responsible for this job and we will do our best to accommodate your needs.

Location Munich, Germany