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- Tasks: Build and manage scalable data pipelines using modern tech to support hotel pricing strategies.
- Company: Join RoomPriceGenie, a leading innovator in hotel tech with a remote-first culture.
- Benefits: Enjoy flexible hours, competitive salary, and unique perks like birthday leave and extra vacation days.
- Other info: Collaborative team environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on the hospitality industry while working with cutting-edge data technologies.
- Qualifications: 2-4 years of Python experience and a passion for data engineering.
The predicted salary is between 36000 - 60000 £ per year.
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
About RoomPriceGenie
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 applications from candidates with diverse backgrounds to enrich our team and drive innovation.
Why RoomPriceGenie?
- 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.
Your Role
We're looking for product-minded Data Engineers who care as much about why we build something as how we build it. At RoomPriceGenie, 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.
Your Responsibilities
- 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.
Your Profile
- 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, BigQuery, 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 NumPy.
- Analytical mindset with an interest in data quality, KPIs, and data-driven decision-making.
- Ownership mentality—you care about writing reliable, maintainable code and improving what you touch.
- Familiarity with product-oriented data teams serving multiple stakeholders.
- Fluent in English and comfortable participating in technical discussions.
- Based within the European Time Zone (UTC+0 to UTC+2).
Nice to Have
- Hands-on experience with dbt (modeling, testing, documentation, performance tuning).
- Experience with or interest in modernizing legacy data pipelines.
- Hands-on experience with Celery & RabbitMQ, PostgreSQL, Django/FastAPI, Datadog and/or Sentry.
- Semantic layers/metrics modeling tools (e.g., Cube, Looker/LookML, dbt metrics, MetricFlow, or similar).
What We Offer at RoomPriceGenie
- Remote-First Model: You can work flexibly from anywhere. We support co-working and you’re welcome to work from our offices in Mannheim, Berlin, or Sydney whenever you like.
- 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.
- Birthday Celebrations: It’s your day, so take it off! Celebrate your birthday the way you want, guilt-free.
- Flexible Hours: 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.
- BetterHelp Support: We also offer BetterHelp, a professional online therapy and counseling platform, giving you additional support whenever you need it.
Remote Mid Data Engineer (m/f/d) in Dover employer: Founderful
Contact Detail:
Founderful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Mid Data Engineer (m/f/d) in Dover
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is a great way to demonstrate your expertise in data engineering and give hiring managers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by researching RoomPriceGenie and understanding our mission. Be ready to discuss how your experience aligns with our goals and how you can contribute to optimising pricing strategies for hotels.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at RoomPriceGenie.
We think you need these skills to ace Remote Mid Data Engineer (m/f/d) in Dover
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Mid Data Engineer role. Highlight your relevant experience with Python, ETL pipelines, and any tools mentioned in the job description. We want to see how your skills align with what we do at RoomPriceGenie!
Show Your Passion: Let us know why you're excited about this role and our mission. Share your thoughts on how data can transform the hospitality industry and why you want to be part of our journey. A little enthusiasm goes a long way!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point—just like our data pipelines!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy—just a few clicks and you’re done!
How to prepare for a job interview at Founderful
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Snowflake, Databricks, and Dagster. Be ready to discuss your experience with these tools and how you've used them to build scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially related to data engineering. Highlight your analytical mindset and how you’ve translated business questions into technical solutions.
✨Emphasise Collaboration
Since this role involves working closely with Product, Analytics, and Engineering teams, be prepared to discuss your experience in cross-functional collaboration. Share specific instances where your work has directly impacted other teams or stakeholders.
✨Demonstrate Your Ownership Mentality
Talk about your approach to writing reliable and maintainable code. Discuss how you ensure data quality through testing and documentation, and why you believe accuracy and trust are crucial in data engineering.