Mews is building the operating system for modern hotels. Thousands of properties run their entire business on Mews – from reservations and revenue to payments and guest experience – all connected through a unified, guest-first data model.
The role
Finance is at the centre of Mews' next phase of growth. As the company scales toward IPO and expands internationally, Finance needs to shift from reactive, manual processes to strategic, data-driven operations. You'd build the analytical infrastructure that makes that possible. You'd design and develop data pipelines, models and features that give Finance leaders visibility into what's happening across the business right now and what comes next. Your work unlocks month-end closes in five days instead of eight, automates manual GL and AR reconciliation, and gives the company the financial foundations it needs for IPO compliance and scale. This is greenfield work. Modern stack (DBT, Databricks, Python). High impact. Genuine autonomy.
What you 'll be doing
Build production-ready ETL/ELT pipelines and analytical solutions using DBT, Databricks and SQL
Design scalable data models that surface real-time insights for Finance leadership and operations




Champion data quality and testing practices;
validate work before itreaches decision-makers
Work directly with Finance leadership to translate priorities into technical solutions
Shape the technical roadmap and advocate for modern data practices as the domain scales
What we 're looking for
3+ years building and optimising ETL/ELT pipelines in production
Proficiency in SQL, Python and DBT (or equivalent modern data transformation tools)
Experience with Databricks, Snowflake or similar cloud data platforms
Strong grasp of data modelling, analytics architecture and the trade-offs between approaches
Comfort working autonomously, breaking down ambiguity, and managing priorities without constant direction
Why now
Finance is underinvested in systems. That 's changing. The team is growing, the stack is modern, and the work is genuinely high-impact – directly supporting IPO readiness and international expansion. You 'd be building from foundations rather than inheriting legacy systems.
Location
EU-based (Czech Republic, UK, Spain or France)
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📌 Analytics Engineer - Finance (Madrid)
🏢 Mews
📍 Madrid