Data Engineer

Posted 4 Days Ago
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Barcelona, Cataluña, ESP
In-Office
Mid level
Real Estate • Travel • Hospitality • PropTech
The Role
Design, build, and maintain ETL/ELT pipelines, model and optimize NoSQL data (MongoDB), create Metabase dashboards, prepare datasets for AI/LLM projects, support web back-end (Node.js), and collaborate with product teams to integrate AI components and ensure data quality and freshness.
Summary Generated by Built In

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 back-end of the group's web projects in collaboration with the development teams.
  • Take part in designing application-side data models.
 

KEY INFORMATION

  • Starting date: as soon as possible 
  • Permanent contract (Indefinite Spanish contract)
  • Full-time position: 40-hours / week
  • The recruitment process is the following:
    • Step 1: screening call for selected candidates
    • Step 2: case study
    • Step 3: 15-minutes talk with our Lead Dev
    • Step 4: video interview with our CTO and our Head of AI
    • Step 5: video interview with HR
    • Step 6: reference check

ABOUT YOU

The must-haves:

  • Master's degree (Bac+5) in Computer Science, Data Engineering, Statistics, or equivalent.
  • Minimum 3 years of experience in data engineering.
  • Significant experience with MongoDB and a BI tool (ideally Metabase)
  • Experience with NoSQL/MongoDB and a BI tool
  • Knowledge of dbt for data transformation.
  • Familiarity with the Node.js environment
  • Use of AI in service of data
  • Rigor and strong organizational skills in data handling.
  • Curiosity and interest in data valorization.
  • Team spirit and ability to explain technical topics in simple terms.
  • Autonomy, proactivity, and ability to propose solutions.
  • Professional English 
Technical Skills:
  • MongoDB: NoSQL modeling, aggregations, performance optimization.
  • Metabase: Dashboard creation, SQL/NoSQL queries, administration.
  • AWS: Strong knowledge of data services (S3, Lambda, Glue, Athena, Redshift).
  • Node.js: REST API development, server-side data manipulation.
  • Python and/or TypeScript for scripting and data processing.
  • AI/ML fundamentals: Understanding of core concepts, dataset preparation, LLM API integration.
  • Advanced SQL: Complex queries, optimization, CTEs, window functions
Nice to Have: 
  • Experience with workflow orchestration tools (Airflow, Prefect, n8n).
  • Experience with Metabase
  • Experience with vector databases (ChromaDB)
  • Familiarity with event-driven architectures (Kafka, SQS/SNS).
 

ABOUT US

We offer a work environment that values and empowers people while fostering personal development. In May 2026, Eterniti was honored with the Guest Impact Award by Mews, recognizing our commitment to outstanding guest experiences, and we are also proudly Happy at Work certified, reflecting our dedication to employee well-being and workplace culture. Our culture is dictated by the following values :

  • Make Mistakes - We foster a creative environment where the best ideas win, where it is okay to make mistakes and unacceptable not to learn from them.
  • Question - We don't accept the status quo and look for ways to leverage technology while empowering people.
  • Speak Up - We are true people who give honest feedback, who are not afraid to share opinions and who don't talk behind one's back.
  • Think Big - While staying humble, we aim for the stars and work towards established goals and metrics.
  • Don’t Compromise - We are obsessed with quality, like a Swiss watchmaker.
  • Care - We care about our team members, our partners and our clients, and make our passion and our work one and the same.

We are demanding - everyone really counts at Emerald Stay. But keep in mind that we value hard work and give growth opportunities to those who deserve it. We want you to grow with the company.

 

Oh, we’ve got perks...

  • Emerald Stay membership:
    • All-year-round discount of 10% off on Emerald stays
    • Discount of 50% off on Emerald stays during low season, on selected properties
    • Discount on services in all our destinations 
  • Birthday off
  • Flexible work environment : we have a flexible home office policy; you'll work at the office on Tuesdays and Wednesdays, the rest of the time, it's up to you. Feeling like working with another view? We offer 15 days yearly of remote work from wherever you'd like
  • Well-being program: we will contribute up to 300€ annually to your wellbeing expenses from 1st anniversary
  • Coaching program from 1st anniversary
  • Team member referral program 
  • Property referral program 
  • Yearly off-site
  • Regular optional team events 

Feeling aligned? Then we want you on the Emerald Stay team!

Skills Required

  • Master's degree in Computer Science, Data Engineering, Statistics or equivalent.
  • Minimum 3 years of experience in data engineering.
  • Significant experience with MongoDB (NoSQL modeling, aggregations, performance optimization).
  • Experience with a BI tool (ideally Metabase) and dashboard/report creation.
  • Knowledge of dbt for data transformation.
  • Strong knowledge of AWS data services (S3, Lambda, Glue, Athena, Redshift).
  • Familiarity with Node.js (REST API development, server-side data manipulation).
  • Python and/or TypeScript for scripting and data processing.
  • Advanced SQL (complex queries, CTEs, window functions) and query optimization.
  • AI/ML fundamentals, dataset preparation, and LLM/NLP integration experience.
  • Rigor, strong organizational skills, autonomy, proactivity, and team communication skills.
  • Professional English.
  • Experience with data quality, consistency, freshness, and data migration strategies.
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The Company
Year Founded: 2017

What We Do

Emerald Stay SA is a revolutionary prop-tech and hospitality firm specializing in the management of premium vacation rentals and second-homes in non-urban, high-end destinations. The company leverages a technology infrastructure to transform the fragmented vacation rental market, offering professional hotel-standard services to guests while optimizing profitability and passive income for property owners across mountain and coastal locations.

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