Job Description

Location


Remote United Kingdom, Remote Austria, Remote Belgium, Remote Portugal, Remote Netherlands, Remote Spain, Remote Ireland, Remote Germany
Employment Type


Full time
Location Type


Remote
Department


Data

About RoomPriceGenie

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Founded in 2017, RoomPriceGenie 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--RoomPriceGenie 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 s from candidates with diverse backgrounds to enrich our team and drive innovation.

Your Role

We are building the analytics function from the ground up at RoomPriceGenie, 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, AppFlow, 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.

Your Profile

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.

Strong experience with AWS services

, including S3, Glue, Lambda, AppFlow, Athena, and CloudWatch, 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, lakehouses, and warehouses, as well as schema design and data modeling best practices.

Experience with ingestion tooling

such as Fivetran or AppFlow 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.

Nice to Have

Familiarity with

orchestration tools

(e.g. Dagster, Airflow). Experience working with

Iceberg tables

. Background in supporting

BI tools

or

analytics teams

. Knowledge of data governance, building and maintaining data dictionaries, lineage, and quality frameworks.

What We Offer at RoomPriceGenie

At RoomPriceGenie, we don't just offer jobs; we offer an adventure! Join us in an exciting startup atmosphere where you can grow your career while changing the world for tens of thousands of independent hoteliers. Our global and diverse team is fueled by passion and a shared mission. We thrive in a culture that's all about transparency, respect, and making a real impact together.


Here's what you can expect when you become part of our Genie family:

Hybrid Office Model:

Work your way! Whether you're a remote work ninja ?, love the hustle of the office , or enjoy a mix of both, we empower you to choose the setup that suits you best.

One Team, One Vision, One Goal:

We're in this together! Our Genies are laser-focused on our mission, collaborating to make magic happen. ? It's no wonder we score a stellar 9.3 from our team members!

Epic Team Gatherings:

Every year, we bring our global crew together for a week of networking, brainstorming, and fun. Plus, enjoy regular hangouts in our offices to keep the camaraderie alive.

Growth and Development:

We're all about lifelong learning! Level up your skills with personal and professional development opportunities. You'll even snag up to three extra days off each year to focus on your growth.

5 Years? 5 Weeks!

Stick with us, and we'll reward your loyalty. After five years, you'll earn an incredible five weeks of bonus vacation time ? to recharge and explore the world.

Birthday Celebrations:

It's your day, so take it off! Celebrate your birthday the way you want, guilt-free.

Flexible Hours:

We get it--life happens! We offer flexible working hours to help you balance your work and personal life seamlessly.

Wellbeing Matters:

Your mental health is a top priority. Every Genie gets access to Headspace, the leading meditation app, to help you cultivate a happier, healthier, and more zen life.
We kindly ask that recruitment agencies refrain from reaching out regarding this vacancy. Thank you for your understanding.