(Senior) Analytics Engineer – Dynamic Pricing & Revenue Management (all genders)

Munich, Germany

Share 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’ll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic and data driven pricing strategy.

You’ll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together.

Our Tech Stack

Data Pipelines: Airflow + dbt-core, powered by Python, for fast, reliable workflows.
Data Storage & Querying: S3, 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

As an Analytics Engineer within Revenue Management you’ll focus on building and maintaining the analytical backbone that powers pricing insights and future dynamic pricing models. You will:

Build and own dynamic pricing and revenue management datasets by transforming and combining data from multiple sources.
Develop scalable data models and transformations that support pricing analyses, dashboards, and forecasting use cases.
Work closely with Data Scientists to create training datasets and features for pricing and demand models.
Advise and support the Data Scientist with Model deployment.
Ensure data quality, consistency, and documentation across revenue management metrics and datasets.
Collaborate with stakeholders to translate business questions into clear analytical and data requirements.
Contribute to improving pipelines, workflows, and analytical standards within Revenue Management.

Your backpack is filled with

4+ years of experience in a Data Engineer, Analytics Engineer, or similar role.
Strong hands-on skills in SQL and Python, working with complex data models.
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.
Good understanding 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.
A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

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.