InterviewHack.ai
Start free
Jobs / Bookboost

Data Engineer

Bookboost·Germany - Munichmid

In short

  • →Construyes infraestructura de datos a gran escala para un plataforma hotelera que une datos de huéspedes.
  • →Trabajas con PySpark, AWS, streaming y pipelines de ML/AI en un entorno de alta escalabilidad y autonomía.
  • →Destaca la exigencia real de fluidez en IA: usas herramientas de IA para escribir código y diseñar pipelines diariamente.

Proficiency in English (written and spoken) is required.

Apply on company site ↗Share on WhatsApp
✓ Free to start✓ Runs in your browser✓ First dossier, no card✓ Ready in ~1 minute

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

The questions they'll ask you

1. ¿Cómo diseñarías un pipeline de streaming de datos de reservas en tiempo real usando PySpark y AWS Kinesis?

2. ¿Qué consideraciones técnicas aplicarías para escalar un sistema de almacenamiento de datos a varios terabytes sin perder consistencia?

3. ¿Cómo usarías herramientas de IA para automatizar la documentación de un pipeline de transformación de datos en PySpark?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

💵 USD · Remote · No visa

Not finding what you want? Try Micro1

Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.

Get matched by Micro1 →
📬Jobs picked for YOUR resume, every morning on WhatsApp. Free: text “vacantes” and the bot sends your daily matches. Subscribe →

What they ask for

  • ✓4+ años de experiencia en ingeniería de datos con sistemas de producción que has liderado.
  • ✓Excelentes habilidades de programación y procesamiento distribuido (especialmente AWS y PySpark).
  • ✓Experiencia comprobada en escalar infraestructura de datos a terabytes de volumen.
  • ✓Conocimiento práctico de sistemas de nube (AWS, RDS), contenedores (Docker, ECS) y movimiento de datos.
  • ✓Capacidad para diseñar y operar pipelines de streaming y batch (CDC incluido).
  • ✓Uso diario y comprobado de herramientas de IA para desarrollo, documentación y lógica de pipelines.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AWSPySparkDockerECSRDSCDCbatch processingstreaming pipelinesML pipelinesAI-native stack

Who should you write to at Bookboost?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Your mission Bookboost is the Hospitality Engagement Platform that empowers hotels to understand and engage their guests like never before. We unify guest data, automate personalised communication, and deliver experiences that drive revenue, loyalty, and operational excellence. We have customers across more than 20 countries and a platform that wins on depth. As we scale, the volume and importance of our data is growing fast, and we're looking for a Data Engineer to build the infrastructure that keeps up. Your profile You'll design and build the data infrastructure that carries Bookboost from hundreds of gigabytes to terabytes of guest data, moving, transforming and making it available to our frontend application and our machine learning and AI pipelines. This is a role with real scope. You'll work with the latest technologies on hospitality-industry-first use cases spanning both analytics and machine learning, and you'll have genuine ownership of how our data platform is designed rather than implementing someone else's blueprint. If you want to be handed narrow tickets and left alone, this is not that job. If you want to shape the data foundation the whole product runs on, it's a good one. What you'll own and deliver Scalable data pipelines and infrastructure, designed and built alongside Product and Engineering Data pipelines for ingestion, transformation and storage at high scale, deployed and monitored end to end Tools and abstractions on top of the data infrastructure for analytics, recommendations and machine learning Data orchestration and streaming pipelines Reusable data resources and design patterns, built in close collaboration with product teams What makes you a great fit? Data engineering depth: 4+ years of industry experience, with production systems you have owned rather than contributed to Programming and processing: strong engineering skills, ideally with distributed data processing (AWS, PySpark) Scale: strong quantitative skills and experience estimating performance at high scale Cloud and infrastructure: familiarity with cloud-based data services (AWS, RDS), containerised infrastructure (ECS, Docker), and data movement (batch, CDC, streamed and batch transformations) AI fluency: our engineering team runs on an AI-native stack. You use AI tools day to day for writing code, documentation and pipeline logic, and you're comfortable building the data infrastructure that powers our ML and AI features. This is a genuine requirement, not a bonus line. Ownership: self-motivated, with a strong sense of ownership over the systems and designs you build. What's in it for you? Remote and flexible working, from home or one of our hubs Real influence over the data foundation the whole product depends on An engineering team building new ways of working with AI rather than bolting it on A work environment that values your ideas, with real room for creativity and impact Regular team events and socials Why us? Bookboost gives hotel groups ownership of their guest relationships. We unify guest data across the PMS, booking engine and every communication channel, then orchestrate the guest journey pre-stay, in-stay and post-stay. Based in Malmö, Sweden, with hubs in Amsterdam and Barcelona, we work in a hybrid, remote-friendly way. Diversity and innovation go hand in hand, and we are committed to an inclusive environment where everyone can do their best work. Everyone is welcome at Bookboost We value individuality and creativity, and we are building a team that reflects the world we serve. If you are passionate about making a difference, apply even if you do not meet every criterion. Ready to join us? Send us your application today. We interview on a rolling basis, so apply early.

More jobs like this

Remote Data Engineer jobs

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.

InterviewHack.ai

Prepare for the exact interview: who's interviewing you, a tailored CV, and a real coach.

Product

JobsCompanies hiringAll free toolsResume verdict (Jev)Free cover letterInterview questions by roleTechnical assessment simulator"Tell me about yourself" answerFree ATS checkerInterview-English checkSalary checkSalary negotiation scriptFree STAR answerLinkedIn headline + AboutLATAM salary reportFree coursesBlogTailored CVSpoken practicePricingAffiliates — 30%

Remote jobs

ReactPythonFull-StackLATAMArgentinaMexicoSee all →

Prepare

Spoken practiceFrontendBackendAI EngineerBy companySell with your CV

Company

For employersAboutContactPrivacyTerms

© 2026 InterviewHack.ai · Your CV is yours. Never used to train anything. · A product of IA-PTY

Similar open roles

Full Stack Developer

Bookboost · Germany - Munich

→

Full Stack Developer

Bookboost · Germany - Munich

→

Data Engineer

Bookboost · Germany - Munich

→

Data Engineer, Billing & Payments

Anthropic · San Francisco, CA | New York City, NY

→