Senior Analytics Engineer, Finance

At 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 global, and united by a shared mission to make travel simpler for everyone.

• Location: 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, permanent
• Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74 
• Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.

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 logic

Build 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 forecasting

Own 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 cases

Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting

Partner 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 platform

Implement 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 artifacts

Partner 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 build

Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches

Must 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 responsibilities

Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models

Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure

Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation

Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar)

Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus

Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products

Strong communication skills, with the ability to explain complex data concepts to diverse audiences

Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production

Nice to Have:

Experience in marketplace, telecom, or travel/mobility businesses

Background in B2C product companies with high-volume event data

Experience building analytics engineering capabilities in low-maturity data environments

Previous experience at a scale-up that went through hypergrowth

Experience defining and governing company-wide KPIs and metric frameworks

Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability

Why People Join Us🇪🇸 Why people join us in Spain

We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.

Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact.

For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home.

We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers.

Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.

As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane.