Senior Analytics Engineer (Dynamic Pricing & Revenue Management)

TL;DR

Senior Analytics Engineer (Dynamic Pricing & Revenue Management): Building and maintaining the analytical backbone that powers pricing insights and future dynamic pricing models, with an accent on dynamic pricing and revenue management datasets, scalable data models, and transformations. Focus on creating training datasets and features for pricing and demand models, ensuring data quality, consistency, and documentation across revenue management metrics.

Location: Hybrid in Munich, Germany (50% in-office time required for collaboration, with up to 8 weeks per year available from other inspiring locations).

Company

hirify.global is one of the world’s fastest-growing vacation rental technology companies, helping hosts generate more bookings with less work and guests find a holiday home they truly enjoy.

What you will do

• 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.

Requirements

• 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.
• Ability to effectively build batch and streaming data pipelines using technologies such as Airflow, DBT, Redshift, Athena/Presto, Firehose, Spark, SQL databases, and similar.
• 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).

Nice to have

• Desire to learn and use cutting-edge LLM tools and agents to improve productivity.

Culture & Benefits

• Shape the future of travel with products used by millions of guests and thousands of hosts.
• Grow professionally with a strong focus on AI, mentorship, and personal learning budgets.
• Join a team of smart, motivated, and international colleagues from 60+ nations.
• Work in a modern tech environment with a scale-up pace and proven business model.
• Enjoy a hybrid setup with 50% in-office time and up to 8 weeks per year working from other locations.
• Receive travel benefits, gym discounts, and other perks.