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Data Engineer

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Offer summary

Qualifications:

4+ years of industry experience in data engineering., Strong programming skills with proficiency in distributed data processing (AWS, PySpark)., Experience with cloud-based data services and containerized infrastructure., Strong quantitative skills for performance estimation at high scale..

Key responsabilities:

  • Designing and implementing scalable data pipelines and infrastructure.
  • Developing, deploying, and monitoring data pipelines for ingestion and transformation.
  • Creating tools for analytics and machine learning use cases on top of data infrastructure.
  • Collaborating with product teams to develop reusable data resources and design patterns.

Bookboost logo
Bookboost
11 - 50 Employees
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Job description

Data Engineer

Engineering

Ready to help us shape the future of hospitality?

At Bookboost, we believe in pushing boundaries. We’re not just a CRM platform; we’re transforming the way hospitality brands connect with their guests. By centralizing guest data and simplifying communication, we empower teams to create meaningful interactions and build lasting relationships throughout the guest journey.

As a fast-growing company with a presence in more than 20 countries, we’re redefining what’s possible in hospitality tech. If you’re ambitious, creative, and ready to make an impact, we’d love for you to join us. Excited? Keep reading to know more.

About the role

Let’s start with the basics: what will your role actually involve? While it’s tough to detail every single aspect – particularly in a growing company like Bookboost – here’s a snapshot:

As the first Data Engineering hire at Bookboost, you will play a key role in designing and implementing our infrastructure as we scale from 100s of GBs to TBs of data which needs to be moved, transformed and made available to our frontend application and machine learning pipelines.

In this role, you will have the opportunity to learn, grow and experiment with the latest technologies to serve hospitality industry-first use cases spanning both the analytical and machine learning domains.

What you’ll own and deliver:
  • Collaborating closely with Product and Engineering teams to design, build, and maintain scalable data pipelines and infrastructure.
  • Developing, deploying, and monitoring data pipelines for ingestion, transformation, and storage at high scale.
  • Designing and implementing tools and abstractions on top of data infrastructure for a variety of analytics, recommendations, and machine learning use cases.
  • Designing and maintaining data orchestration and streaming pipelines.
  • Working closely with product teams to develop reusable data resources and design patterns.
What makes you a great fit?

We’re looking for someone who brings the following to the table:

  • 4+ years of industry experience in data engineering.
  • Strong programming and data engineering skills, with proficiency in distributed data processing preferred (AWS, PySpark).
  • Strong quantitative skills with experience in estimating performance at high scale.
  • Familiarity with cloud-based data services (e.g., AWS, RDS), containerized infrastructure (e.g., ECS, Docker), and data movement (Batch, CDC, Streamed/Batch Transformations).
  • Self-motivated with a strong sense of ownership of systems and designs.
What’s in it for you?

Joining Bookboost means more than just a job. Here’s what you can expect:

  • Remote/flexible working (we're 100% hybrid-proof,) with the option to work from home or from one of our hubs, close to where you live.
  • A work environment that values your ideas and contributions, with room for creativity and impact.
  • Opportunities to grow and develop professionally in a fast-paced, innovative industry.
  • Regular team events and socials to foster collaboration and connection.
  • Be part of a dynamic company shaping the future of hospitality.
Who is Bookboost?

We are a pioneering B2B SaaS provider in the hospitality engagement space. Our platform empowers hotels to design personalised guest journeys, automate communications, and gain full visibility over their customer touchpoints. With deep integrations into hotel CRMs, multi-channel marketing, and real-time data analytics, we set a new standard for digital guest engagement. Our approach has earned us a reputation as a premium solution that delivers measurable ROI and sustained competitive advantage in the European market.

Based in Malmö, Sweden, with hubs in Amsterdam, Barcelona, Munich, and London, we embrace a hybrid, remote-friendly culture. We believe that diversity and innovation go hand-in-hand, and we’re committed to creating an inclusive environment where everyone can thrive.

Everyone is welcome at Bookboost

At Bookboost, we value individuality and creativity. We’re building a global team that reflects the diverse world we serve. If you’re passionate about making a difference and eager to contribute your unique perspective, we encourage you to apply – even if you don’t meet 100% of the criteria.

Ready to join us?

Send us your application today and start your journey with Bookboost! Interviews will be conducted on an ongoing basis, so we encourage you to apply as soon as possible.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Self-Motivation

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