Data Engineer

Take part in designing application-side data modelsEterniti 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 aData Engineerto 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.RESPONSIBILITIESData Pipelines and Data EngineeringDesign and develop data collection, transformation, and loading pipelines (ETL/ELT)Structure and model data to meet analytical and application needsEnsure the quality, consistency, and freshness of data across all systemsAutomate data flows between various sources and destinationsAnalytics and Reporting (Metabase)Design and maintain dashboards, reports, and key performance indicators in MetabaseCreate optimized queries to power business dashboardsSupport internal teams in leveraging and understanding dataBe proactive in proposing KPIs and data visualization improvementsDatabases (MongoDB)Model NoSQL data schemas tailored to the group’s use casesOptimize queries, aggregations, and indexes to ensure performanceEnsure data consistency and implement migration strategies when necessaryArtificial IntelligencePrepare, clean, and structure datasets for AI applicationsCollaborate with product teams to integrate AI components (LLM, NLP, etc.) into applicationsParticipate in technology watch on AI tools and frameworksWeb Projects (Node.js)Contribute to the back-end of the group’s web projects in collaboration with the development teamsTake part in designing application-side data modelsKEY INFORMATIONStarting date: as soon as possiblePermanent contract (Indefinite Spanish contract)Full-time position: 40-hours / weekThe recruitment process is the following:Step 1: screening call for selected candidatesStep 2: case studyStep 3: 15-minutes talk with our Lead DevStep 4: video interview with our CTO and our Head of AIStep 5: video interview with HRStep 6: reference checkAbout YouMaster’s degree (Bac+5) in Computer Science, Data Engineering, Statistics, or equivalentMinimum 3 years of experience in data engineeringSignificant experience with MongoDB and a BI tool (ideally Metabase)Experience with NoSQL/MongoDB and a BI toolKnowledge of dbt for data transformationFamiliarity with the Node.js environmentUse of AI in service of dataRigor and strong organizational skills in data handlingCuriosity and interest in data valorizationTeam spirit and ability to explain technical topics in simple termsAutonomy, proactivity, and ability to propose solutionsProfessional EnglishTechnical SkillsMongoDB: NoSQL modeling, aggregations, performance optimizationMetabase: Dashboard creation, SQL/NoSQL queries, administrationAWS: Strong knowledge of data services (S3, Lambda, Glue, Athena, Redshift)Node.js: REST API development, server-side data manipulationPython and/or TypeScript for scripting and data processingAI/ML fundamentals: Understanding of core concepts, dataset preparation, LLM API integrationAdvanced SQL: Complex queries, optimization, CTEs, window functionsNice to HaveExperience with workflow orchestration tools (Airflow, Prefect, n8n)Experience with MetabaseExperience with vector databases (ChromaDB)Familiarity with event-driven architectures (Kafka, SQS/SNS)About UsWe offer a work environment that values and empowers people while fostering personal development.In May **, 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 themQuestion - We don’t accept the status quo and look for ways to leverage technology while empowering peopleSpeak Up - We are true people who give honest feedback, who are not afraid to share opinions and who don’t talk behind one’s backThink Big - While staying humble, we aim for the stars and work towards established goals and metricsDon’t Compromise - We are obsessed with quality, like a Swiss watchmakerCare - We care about our team members, our partners and our clients, and make our passion and our work one and the sameWe 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 staysDiscount of 50% off on Emerald stays during low season, on selected propertiesDiscount on services in all our destinationsBirthday offFlexible 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 likeWell-being program: we will contribute up to 300€ annually to your wellbeing expenses from 1st anniversaryCoaching program from 1st anniversaryTeam member referral programProperty referral programYearly off-siteRegular optional team events#J-***-Ljbffr

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)

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, We offer a work environment that values and empowers people while fostering personal development. In May **, 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 #J-***-Ljbffr

Barcelona, España

Take part in designing application-side data models 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