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Senior Sales Data Engineer - 100% Remote - Hiring Globally

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proven experience in data engineering, Expertise in revenue operations, Skilled in data infrastructure management, Background in SaaS or scale-up environments.

Key responsabilities:

  • Architect and build data warehouse
  • Ensure accurate and timely reporting
Hostaway logo
Hostaway Scaleup http://www.hostaway.com
201 - 500 Employees
See more Hostaway offers

Job description

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:

  • Architect and build our data warehouse, contributing to scalable data infrastructure and models that ensure reliable insights for our Revenue Operations function.

  • Ensure accurate and timely reporting and analytics to support Sales and Marketing decision-making.

  • Administer, iterate, and potentially implement various architectural components of our Revenue Operations platform.

  • Collaborate with cross-functional teams to define data requirements and ensure seamless integration of data sources.

  • Collaborate and consult with Sales, Marketing, Finance, and Customer Success teams to align on revenue goals and reporting needs.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Detail Oriented
  • Collaboration

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