Remote; Sr.) Data Engineer

Remote (Sr.) Data Engineer (m/f/d) – Room Price Genie

Location:

London, Remote Germany, Remote Netherlands, Remote United Kingdom, Remote Ireland, Remote Spain

Employment Type:

Full time

Location Type:
Hybrid

Department:
Data

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.

We are building the analytics function from the ground up at Room Price Genie , and we’re looking for a highly capable Data Engineer to design and deliver our end‑to‑end data infrastructure. This is a foundational role where you will architect the pipelines, schemas, and processes that power our data‑driven decision‑making.

• Serves as the first data engineer dedicated to analytics, redefining the data pipeline and architecture to strengthen the company’s analytics capabilities.
• Designs and owns a scalable analytics data architecture, including the implementation of a data lake, Iceberg tables, and a future Snowflake‑based lakehouse.
• Builds and maintains reliable data ingestion and transformation pipelines across product, sales, finance, and third‑party systems using tools such as AWS Glue, App Flow, Fivetran, and dbt.
• Develops robust data models and schemas that follow best practices and support analytics, BI, and reporting needs.
• Automates infrastructure and workflows using Python, Terraform, and AWS monitoring tools, ensuring scalability, stability, and reproducibility.
• Documents data flows, pipelines, and standards, and collaborates with analysts, product managers, and leadership to ensure data is accurate, accessible, and actionable.
• Continuously identifies opportunities to improve data quality, efficiency, and scalability.

• 4–5 years of professional experience in data engineering, with a proven track record of designing, building, and maintaining reliable data solutions in cloud environments.
• You are currently based in Europe or within a similar CET timezone.
• You have C2‑level proficiency in English.
• Strong experience with AWS services, including S3, Glue, Lambda, App Flow, Athena, and Cloud Watch, for building and monitoring scalable data pipelines.
• Hands‑on experience with Snowflake and dbt, and a solid understanding of modern ELT best practices and layered data architectures (bronze–silver–gold).
• Proficiency in Python and SQL for data ingestion, transformation, and workflow automation.
• Deep understanding of data architecture principles, including data lakes, lake houses, and warehouses, as well as schema design and data modeling best practices.
• Experience with ingestion tooling such as Fivetran or App Flow for integrating data from diverse sources.
• Familiarity with Terraform (or other infrastructure‑as‑code tools) to ensure reproducible and version‑controlled infrastructure management.
• Strong documentation and process discipline, capable of creating scalable, maintainable, and repeatable systems.
• Self‑driven and proactive, with the ability to work autonomously and take end‑to‑end ownership of data solutions.

• Based in Greater London (hybrid), with the flexibility to meet the team in London once a week.
• Familiarity with orchestration tools (e.g.…