Data Engineer

🔥 12 hours ago

🇸🇪 Sweden – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bookboost

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🏨 Hospitality

📣 Marketing

📦 Logistics

💰 $3.8M Venture Round - Bookboost on 2025-03

Hospitality • Marketing • Logistics

Bookboost is a SaaS platform for the hospitality industry that centralizes guest communication, CRM, and marketing automation to help hotels, hostels, serviced apartments, and small-to-mid hotel groups deliver personalized guest journeys. The product bundle includes a multi-channel CRM, unified inbox, guest web app, customer data platform (CDP), and integrations with PMS/channel managers and smart locks to streamline check-in/out, messaging, loyalty, and direct bookings. Bookboost is positioned for hospitality teams (guest experience managers, front desk, marketing) who want to automate messaging, increase direct revenue, and improve operational efficiency.

📋 Description

• Design and build scalable data infrastructure for hundreds of gigabytes to terabytes of guest data • Move, transform and make data available to the frontend application and machine learning and AI pipelines • Design and build scalable data pipelines alongside Product and Engineering • Build and deploy ingestion, transformation and storage pipelines at high scale • Monitor data pipelines end to end • Build tools and abstractions for analytics, recommendations and machine learning • Develop data orchestration and streaming pipelines • Create reusable data resources and design patterns in close collaboration with product teams • Shape the data foundation for Bookboost’s hospitality engagement platform

🎯 Requirements

• 4+ years of industry experience in data engineering • Production systems you have owned rather than contributed to • Strong engineering skills, ideally with distributed data processing • Experience with AWS and PySpark • Strong quantitative skills and experience estimating performance at high scale • Familiarity with cloud-based data services, including AWS and RDS • Familiarity with containerised infrastructure, including ECS and Docker • Familiarity with data movement including batch, CDC, streamed and batch transformations • Daily use of AI tools for writing code, documentation and pipeline logic • Comfortable building data infrastructure that powers ML and AI features • Self-motivated, with a strong sense of ownership over systems and designs • Passion, ambition and growth mindset

🏖️ Benefits

• 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 • Inclusive environment where everyone can do their best work