About us Entravel is a member’s club for discounted luxury travel and whitelabel hotel platform provider focusing on the crypto industry, backed by VCs and prominent European founders. Our hotel product is incredibly strong; we offer more than one million properties, and our rates are amongst the lowest in the world. In fact, on most 5* hotels you won’t find a platform with lower rates than Entravel. Your role We are looking for a Data Engineer to automate and scale high-volume data workflows, with a strong focus on hotel and room mapping across multiple data sources. This is an ownership-heavy role: you will take full responsibility for turning a manual, repetitive process into a reliable, scalable system and ensuring it runs correctly in production.
What you’ll do: * Own the end-to-end automation of hotel and room mapping workflows; * Take responsibility for delivery, correctness, and reliability of the mapping outputs; * Design and build data pipelines (ingestion → transformation → output); * Translate manual mapping logic into scalable systems; * Implement rule-based and fuzzy matching techniques for entity resolution; * Leverage LLMs to improve mapping accuracy, classification, and edge-case handling; * Normalize and clean inconsistent, messy real-world data; * Build monitoring, validation, and retry mechanisms; * Continuously improve pipeline performance and mapping accuracy.
Ownership & responsibility: * You own the mapping system in production; * You are responsible for data quality, accuracy, and failure handling; * You proactively identify gaps, edge cases, and inefficiencies; * You define and evolve the mapping logic and data model; * You ensure issues are detected, debugged, and resolved quickly; * You drive the reduction of manual work and operational overhead.
What we’re looking for: * 3–6 years of experience in data engineering or similar roles; * Strong Python and SQL; * Experience building pipelines from scratch; * Experience working with messy, third-party, or unstructured data; * Experience with entity matching / deduplication / normalization; * Hands-on experience using LLMs in production workflows; * Strong sense of ownership: you take responsibility for outcomes.
Nice to have: * Experience with Rust for performance-critical components; * Familiarity with workflow orchestration tools (e.g. Airflow or similar); * Experience with embeddings, vector search, or semantic matching; * Background in travel, hospitality, or similar domains.
What success looks like: * Clear ownership of the mapping domain from day one; * Significant reduction in manual work within the first 1–2 months; * Stable, reliable pipelines running in production; * Measurable improvement in mapping accuracy over time; * Fast resolution of issues and continuous system improvements.
We offer * Work schedule: full-time; * Duration of the cooperation: Long-term; * Flexible Start: Set your own comfortable working hours that accommodate your individual needs; * Competitive Salary: High standards of remuneration reflecting your contribution and skills; * Vacation: Enjoy 22 days of vacation for full rejuvenation and life enjoyment; * Sick Leave: Ensure your health with 15 days of sick leave per year; * Special Leave Cases: Support for significant life events such as weddings, childbirth, or the loss of a close family member.
