Senior Data Engineer - AI Products - 100% Remote - EMEA

NOTE: This is a FULLY remote role, but the candidate must be within EMEA 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 EMEA.

Hostaway is a SaaS scale-up that is 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. 🌟Exciting Recent News! We’ve raised $550M in the past 18 months, bringing us closer to unicorn status! It’s an incredible time to join us! Learn More.

About the role

As a Senior Data Engineer on our AI Team, you’ll lay the foundations of Hostaway’s data and AI stack. Your work will ensure that the right data, structured and unstructured, flows reliably into AI-powered features that directly improve how property managers and guests interact with our platform.

You’ll focus on Python-first data engineering, building pipelines, embeddings, and RAG systems, while also collaborating with product and platform teams to make sure your work connects seamlessly into existing services.

What you’ll do

• Build and maintain data pipelines and ETL/ELT processes to feed AI-powered features.

• Develop and optimize embeddings, vector databases, and RAG pipelines.

• Experiment with and implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.).

• Work closely with other product and platform teams to ensure smooth integration with existing systems and services.

• Establish best practices for data quality, observability, and performance in AI workflows.

• Support deployment of Python-based AI services into production.

• 5+ years in data or backend engineering, ideally in SaaS.

• Strong Python skills (FastAPI, Pandas, PyTorch/TensorFlow, optional but nice).

• Experience with SQL, relational databases, and data modeling.

• Familiarity with embeddings/vector DBs (Pinecone, Weaviate, FAISS).

• Exposure to AI frameworks for RAG or orchestration (LangChain, etc.).

• Comfort collaborating across teams and integrating data pipelines into larger systems.

• Bonus: cloud experience (AWS, GCP), workflow automation (Airflow, Dagster)

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 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.