Eterniti is the leading operator of vacation rentals in iconic holiday destinations, led by a passion for excellence, authentic adventures, and hospitality. With over €2 billion in assets under management, we operate 800+ chalets, villas and apartments under 3 consumer brands: Emerald Stay (our 4* brand), Bo House (our 5* brand) and Verbier Exclusive (our Palace brand). Our guests can discover our properties in more than 25 exceptional destinations across Europe and North America.

Eterniti is accelerating its data-driven strategy and strengthening its Data & Artificial Intelligence division. We are looking for a Data Engineer to structure, leverage, and maximize the value of our data for our web products and AI projects. You will be at the heart of the data value chain, from collection to delivery in our analytics tools and applications.

RESPONSIBILITIES:

Data Pipelines and Data Engineering:

Design and develop data collection, transformation, and loading pipelines (ETL/ELT)
Structure and model data to meet analytical and application needs
Ensure the quality, consistency,



and freshness of data across all systems
Automate data flows between various sources and destinations

Analytics and Reporting (Metabase):

Design and maintain dashboards, reports, and key performance indicators in Metabase
Create optimized queries to power business dashboards
Support internal teams in leveraging and understanding data
Be proactive in proposing KPIs and data visualization improvements

Databases (MongoDB):

Model NoSQL data schemas tailored to the group's use cases
Optimize queries, aggregations, and indexes to ensure performance
Ensure data consistency and implement migration strategies when necessary

Artificial Intelligence:

Prepare, clean, and structure datasets for AI applications
Collaborate with product teams to integrate AI components (LLM, NLP, etc.) into applications
Participate in technology watch on AI tools and frameworks

Web Projects (Node.js):

Contribute to the

📌 Data Engineer (Barcelona)
🏢 EMERALD STAY®
📍 Barcelona