RoomPriceGenie

Data Engineer

• 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.

Mid Data Engineer

Revenue Operations

• Conduct performance review sessions, identifying areas for improvement and proposing upselling opportunities to help clients achieve their business goals.
• Deliver tailored training sessions based on individual client needs, such as onboarding new teams, refresher training, or addressing specific knowledge gaps.
• Proactively monitor account health, identifying performance trends, addressing potential issues before they escalate, and ensuring client satisfaction.
• Serve as the primary point of contact for key clients within the BeNeLux region, guiding them through their revenue management strategies and maximising their success with our system.
• Work closely with the Product team to relay customer feedback, helping refine our platform to meet the real-world needs of our clients.

Mid Data Engineer

Revenue Manager – BeNeLux