NOTE: This is a FULLY remote role. The candidate will collaborate with their peers and internal customers in North America and Europe. You DO NOT have to be in the specific country or city shown in this listing.
Hostaway is the market-leading SaaS scale-up transforming the vacation rental industry. With innovative solutions and partnerships with giants like Airbnb, Expedia Group (Vrbo), and Booking.com, we're taking on the competition and winning. Leveraging our customer-centric core values, we consistently deliver results that encourage growth, learning, and innovation for our team, our customers, and the industry.
As a profitable and exponentially growing company, this role is necessitated by our continued growth.
We are seeking a skilled and detail-oriented Data Engineer to support our internal RevOps function. This role will be pivotal in managing and optimizing our data infrastructure, ensuring the smooth operation of revenue-related processes, and providing critical insights through data analysis. The ideal candidate will have a proven track record in managing and optimizing revenue operations data infrastructure in fast-growing scaleups.
Responsibilities:
Support and improve technical data-based revenue operations capabilities that drive efficiency across our GTM functions.
Ensure accurate and timely reporting and analytics to support decision-making.
Administer, iterate, and potentially implement various architectural components of our RevOps platform.
Build data structure and architecture which is required for reporting on business performance
Collaborate and consult with sales, marketing, finance, and customer success teams to align on revenue goals and reporting needs.
Previous experience in a B2B SaaS scaling-up product company
3-5 years of experience in data engineering in a B2B SaaS company
Proven proficiency with Google Cloud or AWS for data storage, processing, and management.
Advanced knowledge of Python for data analysis, scripting, and automation.
Experience with Google Big Query (or similar) for large-scale data warehousing and querying.
Proven experience in managing data pipelines and infrastructure in a rapidly scaling environment.
Demonstrated ability to work with cross-functional teams and deliver data-driven insights.
Experience supporting revenue operations, or a related field, especially in relation to commercial performance KPIs is a plus
What we offer
Competitive Compensation:We offer competitive pay based on market rates in the country of the applicant.
100% Remote:Enjoy the freedom to work from anywhere within your country of residence—be it a co-working space, your home office, or even your dining room table. The choice is yours. Just don’t ask to work in our office (we don’t have one).
Equity:Every role in our company comes with valuable stock options in a fast-growing and profitable company. This ensures we all share in the company’s success.
Values-Driven Leadership:Our Core Values are not just words we’ve written to make us feel good. We leverage them daily when making strategic and tactical decisions.
Professional Growth:Our rapid growth offers unparalleled learning and development opportunities, along with a multitude of career advancement opportunities.
Annual Paid Leave:The specific amounts vary by country and are aligned with country and/or contract-specific norms.
Geographic Specific Benefits:As an international employer, we offer different country-specific benefits such as Health Insurance and Pensions in countries where these perks are customary. The specifics very much depend on the country of the applicant.
Dynamic Team Culture:As a global company with team members in over 40 countries, our diverse and international culture fuels our innovation and creativity, providing a key pillar to our success (and making it a lot of fun to work here).
Thank you for your interest. If you apply for this role, you will receive an email from our Talent Acquisition team after your application has been reviewed alongside the qualifications for this role and the qualifications of others who have applied.