Senior Analytics Engineer, Finance

Airalo; España; Remote; EUR 89,000 - 133,000; Full time

Job summary

Airalo is seeking a Senior Analytics Engineer to shape data modeling and governance, transforming first- and third-party data into trusted datasets powering product, marketing, finance, and commercial decisions for 30+ million users. You’ll own finance-revenue data models and collaborate across teams to ensure production-grade analytics on a scalable platform.

You will define standards, semantic layer, and data structures while partnering with ERP and analytics teams to ensure data quality,

Qualifications

• 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
• Strong SQL and data modeling skills with robust, scalable dimensional models
• Familiarity with cloud data platforms (BigQuery) and data orchestration tools like Airflow or Dagster
• Experience collaborating with analysts and stakeholders to translate requirements into data products
• Experience with modern BI platforms and semantic layers (LightDash a plus)
• Proactive, detail-oriented and able to own end-to-end production work

Responsibilities

• Design, implement, and maintain data models using dbt in a cloud data warehouse
• Build and maintain finance and revenue data models including order-to-revenue workflows and revenue recognition logic
• Own the order-to-revenue pipeline with handling of refunds, currency conversion and edge cases
• Collaborate with analytics engineers and data engineers to scale ELT workflows for reliable reporting
• Partner with Finance and ERP integrator to validate data models across legacy and new ERP/EPM platforms
• Implement testing, documentation, and monitoring for data quality and governance
• Translate complex business questions into scalable data artifacts
• Drive adoption of self-service analytics with business users
• Contribute to evolving the modern data stack with new tools and approaches

Skills

SQL

Data modeling

dbt

BigQuery

Airflow

Dagster

LightDash

Finance data modeling

Revenue recognition

Communication

Education

Bachelor's/Master's degree in a quantitative field

Tools

dbt Core/Cloud

BigQuery

Airflow

Dagster

LightDash

Job description

Help Us Build The Future of Travel

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.

Your Next Destination

• 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.

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.notion.site/life-at-airalo-espana
• Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom

We’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 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

£74,800 - £112,200 a year

At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates.

This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: UK: £74,800 – £112,200
Spain: €77,600 – €116,400
Germany: €76,000 - €114,000
Your Home Destination: Local market rates and cost of living vary. Your specific range within this band depends on where you're based, and there's room to discuss what's right for the person and the role. We'll walk through your range together on your first call with our Talent team so we're aligned for takeoff!

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.

Why people join us in the UK

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.

Before You Hit Apply

By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy,available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy

We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.