Job Overview
Location
Remote Germany
Job Type
Full-time
Category
Data Engineer
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As a Remote Senior Data Engineer at RoomPriceGenie, you will play a critical role in powering pricing intelligence for over 3,000 hotels worldwide, directly impacting revenue optimization for independent hoteliers through scalable, reliable data infrastructure.
- • You will design, build, and own end-to-end data pipelines using Snowflake, Dagster, and dbt, modernizing legacy systems while ensuring data quality and enabling cross-functional teams to make data-driven decisions that affect real business outcomes.
- • You will join a mission-driven, remote-first engineering team recognized as a Best Place to Work in Hotel Tech (2026), where ownership, collaboration, and technical excellence are valued in a transparent, supportive culture.
- • In this role, you will deepen your expertise in modern data stack technologies, lead pipeline modernization efforts, and grow into a trusted technical partner who bridges engineering, product, and data science to deliver measurable impact on hotel revenue performance.
- • Your work will ensure the reliability and trustworthiness of data that powers pricing recommendations used daily by hoteliers across Europe, North America, Asia, and beyond—turning complex data into actionable insights that sustain small businesses in a competitive market.
- • You will collaborate closely with Product, Analytics, Data Science, and Backend/Frontend Engineering teams to translate business needs into robust technical solutions, ensuring that data products are usable, well-documented, and aligned with user goals.
- • You will champion data observability, testing, and documentation practices, establishing standards that maintain high data quality as the company scales globally.
- • You will contribute to a culture of continuous learning, with access to professional development resources and time allocated for skill growth, enabling you to stay at the forefront of data engineering innovation.
🎯 Requirements
- • 4+ years of professional Python experience in data engineering and/or backend systems
- • Strong experience building and maintaining ETL/ELT pipelines on modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
- • Strong experience in data modeling, including analytics-ready schema design, fact/dimension modeling, and performance optimization, along with data testing and documentation practices
- • Experience working with orchestrated data pipelines using Dagster, Airflow, or similar tools
- • Experience building backend or ingestion services using Python web frameworks such as Django, FastAPI, or Flask
- • Familiarity with background task processing and asynchronous workflows (e.g., Celery or similar systems)
- • Experience working with cloud infrastructure, preferably AWS (e.g., S3, RDS/Aurora)
- • Strong understanding of software design principles and data pipeline architecture
- • Experience working with large datasets using tools such as pandas, polars, or NumPy
- • Excellent communication skills—able to explain complex technical topics clearly to both technical and non-technical stakeholders
- • High ownership mentality—takes responsibility for reliability, quality, and long-term maintainability
- • Collaborative, egoless team player who thrives in cross-functional environments
- • Fluent in English and comfortable participating in technical discussions
- • Based in the European Time Zone (UTC+0 to UTC+2)
🏖️ Benefits
- • Remote-first model: work flexibly from anywhere in Europe, with optional access to offices in Mannheim, Berlin, or Sydney
- • Annual global team gatherings and regular in-office hangouts to foster connection and collaboration
- • Personal and professional development support, including up to three extra days off per year for learning
- • Five weeks of bonus vacation after five years of service
- • Birthday off, flexible working hours, and access to Headspace and BetterHelp for mental wellbeing
Skills & Technologies
Python
Django
Flask
FastAPI
PostgreSQL
Senior
Remote
About RoomPriceGenie AG
RoomPriceGenie AG, headquartered in Zurich, provides cloud-based dynamic-pricing software for independent hotels, B&Bs, hostels and serviced apartments. The platform automatically analyzes market demand, competitor rates, occupancy and historical data to update room prices multiple times daily, aiming to increase revenue and occupancy while reducing manual yield-management workload. Integrations with major PMS, channel managers and booking engines allow seamless deployment across properties of 5 to 200 rooms. Founded in 2017, the company serves thousands of properties worldwide and operates additional offices in Spain and the United Kingdom.
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