At a Glance
- Tasks: Design and deliver data infrastructure to enhance analytics capabilities.
- Company: Join RoomPriceGenie, a global leader in hotel pricing solutions.
- Benefits: Enjoy remote work, flexible hours, and personal development opportunities.
- Why this job: Make a real impact in the hospitality industry with cutting-edge data solutions.
- Qualifications: 4-5 years of data engineering experience and strong AWS skills required.
- Other info: Be part of a supportive team culture with epic gatherings and wellness benefits.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Location: London, Remote Germany, Remote Netherlands, Remote United Kingdom, Remote Ireland, Remote Spain
Employment Type: Full time
Location Type: Hybrid
Department: Data
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.
Responsibilities
- 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.
- 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, 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
- Based in Greater London (hybrid), with the flexibility to meet the team in London once a week.
- 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
- Remote‑First Model: You can work flexibly from anywhere. At the same time, we support co‑working and you’re of course 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 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.
- BetterHelp Support: We also offer BetterHelp, a professional online therapy and counseling platform, giving you additional support whenever you need it.
Remote (Sr.) Data Engineer (m/f/d) employer: Founderful
Contact Detail:
Founderful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote (Sr.) Data Engineer (m/f/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your data projects. It’s a great way to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We want to see how you think on your feet!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Remote (Sr.) Data Engineer (m/f/d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Data Engineer. Highlight your experience with AWS, Python, and data architecture principles. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission at RoomPriceGenie. Let us know why you’re excited about this opportunity!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in building data pipelines and using tools like Snowflake and dbt. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Founderful
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like AWS services, Snowflake, and dbt. Brush up on your Python and SQL skills too, as you'll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in designing and maintaining data solutions. Be ready to discuss how you've tackled challenges in data architecture and what impact your solutions had on the business.
✨Understand RoomPriceGenie's Mission
Familiarise yourself with RoomPriceGenie's goals and how they help hoteliers optimise pricing. This will not only show your interest in the company but also allow you to align your answers with their mission during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the analytics function, and future projects at RoomPriceGenie. This demonstrates your enthusiasm for the role and helps you gauge if the company culture aligns with your values.