Remote Senior Data Engineer; m​/f​/d

About Room Price Genie

Founded in 2017, Room Price Genie  is dedicated to helping hoteliers around the globe achieve optimal pricing. We understand that many small hotels face challenges with digitalization, making their operations increasingly complex and often resulting in lost revenue. This is where we come in!

We have developed a powerful solution that enables hotels to set the right prices in just seconds. Our state‑of‑the‑art algorithm analyzes both internal hotel data and market trends to recommend pricing strategies that enhance revenue and improve booking rates.

With customers spanning the globe—from the USA and Canada to Iceland, South Africa, China, Slovenia, Italy, and the UK—Room Price Genie  has made a meaningful impact in the hospitality industry, and our clients love the results.

Now, we are excited to expand our customer base and spread the word about how we can support hoteliers in optimizing their pricing strategies. We invite you to join us on this journey! We actively encourage applications from candidates with diverse backgrounds to enrich our team and drive innovation.

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.

• 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.

• 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, Big Query, 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 Num Py.
• 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).

• Hands‑on…