Help Us Build The Future of TravelAt Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely general, and united by a shared mission to make travel simpler for everyone.
Your Next DestinationLocation: Remote, anywhere in Spain or the UK.
Contract:Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain)UK: Full-time, permanentBenefits: Learn more about our benefits here in this link
- https://airalo-public.
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Site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most:Life at Airalo
· España : https://airalo-public.
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Site/life-at-airalo-espanaLife at Airalo
· United Kingdom : https://airalo-public.
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Site/life-at-airalo-united-kingdomWe’re looking for a Senior Analytics Engineer to help shape how data is modeled and governed at Airalo, transforming first
- and third-party data into clean, trusted, well-documented datasets that power decisions across product, marketing, finance, and commercial teams, serving 30+ million users and growing.



This role carries particular weight in our finance and revenue domain: you’ll steward the models finance relies on directly, including order-to-revenue flows and reconciliation against third-party systems such as our ERP, where precision and auditability matter as much as scalability.
Our analytics engineering function is still maturing, so you’ll have real ownership in establishing standards, defining our semantic layer, and shaping how data is structured as we scale globally, working closely with the rest of the data team to build a production-grade analytics platform on LightDash and beyond.

What You'll Do
Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logicBuild and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecastingOwn the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion,



and edge casesCollaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reportingPartner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platformImplement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.
G., revenue, finance)Collaborate cross-functionally to translate complex business questions into scalable, production-ready data artifactsPartner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you buildContribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approachesMust Haves:Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience)Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar)5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilitiesStrong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional modelsExceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosureSignificant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentationFamiliarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar

📌 Senior Analytics Engineer, Finance (Barcelona)
🏢 Airalo
📍 Barcelona