Dein nächster Schritt. Dein neuer Job.

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 will be part of the Data Engineering team in the Business Intelligence department. This team is responsible for creating, maintaining, and refining the core data pipeline tools, as well as supporting several end-user pipelines. Your team will assist the organization in addressing all its data needs and, simultaneously, enhance the data platform with new capabilities and refactoring. Your team will consist of 5 data engineers (3 Seniors, 1 Tech Lead manager and 1 Staff Engineer). You will work closely with the data analytics and data science teams to enable them to leverage further the tools you have built, as well as develop and automate best practices for handling data on our platform.

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.

Your role in this journey

• Play a key role in a high-performing cross-functional team with a strong focus on data products, velocity, quality and engineering culture.
• Engage comprehensively in software development - from ideation to release and monitoring.
• Architect, design, and optimize robust data pipelines to extract, transform, and load diverse datasets efficiently and reliably.
• Devote efforts to crafting practical development toolchains to empower other teams in the organization to build high-quality datasets.
• Shape engineering objectives in tandem with engineering managers.
• Passionate about the latest data technologies? You'll research new solutions, optimize our existing stack, and pioneer innovations that push our platform forward.
• Seek cost-efficient solutions while maintaining high standards of quality (SLA).
• Proactively identify opportunities and drive initiatives to enhance data engineering processes, monitor pipeline performance, and identify opportunities for optimization and efficiency gains.
• Focus on the growth of your team by offering consistent and valuable feedback and recruiting new engineers.
• Apply best practices and continuously learn and share your thoughts with your peers.
• Support Data Analysts in migrating from Airflow PostgresOperator (Redshift) to DBT using Athena.
• Evaluating new implementations constantly with cost, productivity, and velocity in mind.
• Challenge the status quo, proposing solutions that will have a company impact.

Your backpack is filled with

• 5+ years of experience in Data Engineering, Software Engineering, or a similar role
• Experience building and implementing Lakehouse architectures in AWS or other similar setups.
• Effectively build batch and streaming data pipelines using technologies such as Airflow, DBT, Redshift, Athena/Presto, Firehose, Spark, SQL databases, and similar technologies.
• Strong knowledge of how distributed systems work.
• DataOps knowledge (e.g., Infrastructure as Code, CI/CD for data pipelines, automated testing, monitoring/observability implementation, data quality management methodologies).
• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.
• Strong programming skills in Python, SQL or similar languages.
• Experience with containerization and orchestration technologies (Docker, Kubernetes/EKS).
• Previous experience in Data Governance is highly desirable.
• Excellent communication skills with the ability to influence stakeholders and align technical solutions with business objectives.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

Need a sneak peek?

Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!

Want to travel with us?

Apply online on our careers page! Your first travel contact will be Katharina from HR.

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