NOTE: This is a FULLY remote role, but the candidate must be within the EMEA region to collaborate with their team, peers, and internal customers. You do not have to be in the specific country or city shown in this listing, but please only apply if you are physically based within the EMEA region.
Hostaway is the market-leading SaaS scale-up transforming the vacation rental industry. With innovative solutions and partnerships with giants like Airbnb, VRBO, and Booking, 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 growing company, this role is necessitated by our continued growth. Check out more about our recent funding round of $365 million here.
Hostaway is seeking a highly motivated Senior Data Engineer to join our team and drive our growth in the market.

REQUIREMENTS

• 5+ years of experience as a Data Engineer, with a strong track record of designing and implementing scalable data solutions.
• Expert-level SQL skills, with the ability to write, optimize, and debug complex queries.
• Extensive experience with dbt and the best-practices for building, structuring, and testing code-first transformations using Python
• Strong experience with operating in a git-first environment and automating workflows using CI/CD pipelines
• Proven experience building and maintaining production-grade DAG-based pipelines orchestration like Airflow or Dagster
• In-depth knowledge of building ETL and ELT pipelines using Fivetran
• Strong experience with streaming data architectures and (near) real-time data processing, using the Google Cloud data ecosystem
• Deep understanding of Google BigQuery services for big data

• Architect, build and maintain scalable data pipelines and ELT/ETL processes using modern DAG orchestration tools
• Building out and establishing our data transformation framework using dbt
• Ensuring a central data repository exists for consumption from our different analytics teams
• Be a proactive, communicative, and trustworthy partner to both analytics and engineering stakeholders
• Establish and enforce data governance standards to maintain high-quality, trustworthy data assets and ensure reporting consistency.
• Ability to independently design and deploy cloud infrastructure required for the Data domain