Remote Mid Data Engineer; m​/f​/d

Location:

Remote Germany, Remote UK, Remote Spain, Remote Austria, Remote Portugal, Remote Netherlands, Remote Romania

Employment Type:

Full time

Location Type:
Remote

Department:
Product & Engineering

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.

• Best Place to Work in Hotel Tech (2026)
• Best Revenue Management Software (2026)

We operate at real scale, powering pricing for thousands of hotels worldwide on a modern data stack (Snowflake, Databricks, Dagster, dbt, AWS). We give engineers real ownership and autonomy, with support always there when you need it. This role is fully remote within Europe, and you'll be helping disrupt a traditional industry while making a tangible impact on how hotels run their business.

We're looking for product-minded Data Engineers who care as much about why we build something as how we build it. At Room Price Genie , you'll work at the intersection of software engineering, data analytics, and business impact. You won't just build pipelines; you'll understand who relies on your work and what decisions it enables. Our data powers pricing recommendations for 3,000+ hotels worldwide, helping independent hoteliers set the right pricing.

When you ship something here, you'll see the direct impact on real businesses and the people who run them.

• Build and own design scalable data pipelines using our modern stack (Snowflake, Dagster, dbt) and take them from idea to production to monitoring. You'll own the full lifecycle.
• Modernize with purpose. Help us migrate legacy Django/Celery pipelines to our modern platform. This is an opportunity to reshape how data flows through our entire product.
• Bridge the gap. Work closely with Product, Analytics, and Engineering (Backend, Frontend, and Data Science). Translate business questions into technical designs. Ensure analysts and data scientists can actually use what you build.
• Care about quality. Champion data reliability through testing, observability, and documentation. Multiple teams depend on your work daily; accuracy and trust are non-negotiable.

• 2-4 years of professional Python experience, ideally in data engineering and/or backend systems.
• Experience building and maintaining ETL/ELT pipelines in production environments, preferably on modern cloud data warehouses (e.g., Snowflake, Databricks, Big Query, Redshift).
• Solid understanding of data modeling concepts, including analytics-ready schema design (fact/dimension modeling) and performance optimization.
• 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).
• Understanding of software design principles and data pipeline architecture fundamentals.
• Experience working with large datasets using tools such as pandas, polars, or Num Py.
• Analytical mindset…