Senior Data Engineer, RoomPriceGenie

• 4+ years of professional Python experience, ideally in data engineering and/or backend systems
• Strong experience building and maintaining ETL/ELT pipelines in production environments on modern cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift)
• Strong experience in data modeling, including analytics-ready schema design, fact/dimension modeling, and performance optimization, along with data testing and documentation practices that ensure long-term data quality, trust, and maintainability
• Experience working with orchestrated data pipelines (e.g., 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
• An analytical mindset with an interest in data quality, KPIs, and data-driven decision-making
• Excellent communication skills—you can explain complex technical topics clearly to both technical and non-technical stakeholders
• High ownership mentality—you take responsibility for reliability, quality, and long-term maintainability
• A collaborative, egoless team player who thrives in cross-functional environments
• Fluent in English and comfortable participating in technical discussions
• Based in or able to work within the European Time Zone (UTC+0 to UTC+2)

Desirable

• As a Senior Data Engineer in the reservations data team, you will play a critical role in transforming raw reservation data from dozens of PMS systems into trusted, scalable, and high-quality KPI insights used across the company
• You’ll work on production-grade data pipelines that power booking curves, occupancy rates, pickup analytics, and other core reports relied on daily by multiple teams and customers
• You'll design, build, and maintain scalable and reliable data pipelines using our modern data stack (Snowflake, Dagster, and dbt)
• Own end-to-end data flows, from ingestion services (Django & Celery) to analytics-ready models in the data warehouse
• Contribute to the migration of legacy Django/Celery-based pipelines toward our modern data platform architecture
• Collaborate closely with a Product Manager, Data Engineers, and Backend Engineers to prioritize integrations and deliver high-impact data capabilities
• Ensure data quality, reliability, and observability through testing, monitoring, and clear documentation
• Support multiple internal teams by providing accurate, timely, and well-documented reservation data they can trust
• Continuously improve scalability, automation, and operational efficiency as data volume and integrations grow
• Take ownership of features and improvements from design to production, including post-deployment monitoring and iteration