Senior Analytics Engineer, Finance

Airalo is the world's first eSIM store, helping travelers access affordable mobile data in 200+ countries and regions. The company is fully remote by design and genuinely global. This role is remote, anywhere in Spain or the UK, and is full-time and permanent (contrato indefinido via Deel in Spain; permanent in the UK).

Responsibilities

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; Own the order-to-revenue pipeline, ensuring every order correctly and traceably resolves into recognized revenue, including handling of refunds, adjustments, currency conversion, and edge cases; Collaborate with analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability; 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; Collaborate cross-functionally to translate complex business questions into scalable, production-ready data artifacts; Partner with data analysts and domain leadership to drive the rollout and adoption of self-service analytics; Contribute to the evolution of the modern data stack

Requirements

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; Comfortable communicating in English in meetings and async

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

Benefits

Benefits described at the company's public Notion benefits page (link provided in the offer)