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Airalo is the world's first eSIM store, helping millions of travelers access affordable mobile data in 200+ countries. The company is fully remote, with 400+ people across 60+ countries, and is looking for a Senior Analytics Engineer to own the finance and revenue data infrastructure.
In this role, you will design, implement, and maintain data models using dbt within the cloud data warehouse, with a focus on finance and revenue pipelines. You'll own the order-to-revenue pipeline end-to-end, ensuring every order correctly resolves into recognized revenue with proper handling of refunds, adjustments, currency conversion, and edge cases. You'll collaborate with analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting.
Key responsibilities include partnering with Finance and the ERP systems integrator to validate data models during platform migrations, implementing robust testing and documentation practices to maintain data quality and governance, and translating complex business questions into scalable, production-ready data artifacts. You'll also drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the models you build, and contribute to the evolution of the modern data stack.
This is a fully remote role based in Spain or the UK, offered as a full-time, permanent position (contrato indefinido via Deel in Spain; standard employment in the UK).
REQUIREMENTS:
- Bachelor's or Master's degree in a quantitative field (statistics, economics, mathematics, computer science) or equivalent work experience
- 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities
- Hands-on experience building finance and/or revenue data models, including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms, or similar)
- Strong SQL and data modeling skills with demonstrated experience designing robust, scalable dimensional models
- 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)
- Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure
- 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
- Fluent in English for day-to-day communication in meetings and async work
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 (FP&A, revenue accounting, audit processes) on data accuracy and traceability
