Remote opportunity at
AiraloSenior Analytics Engineer, Finance
Airalo operates an eSIM platform designed to provide travelers with mobile data options across more than two hundred countries and regions. The company employs over four…
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About This Role
Airalo operates an eSIM platform designed to provide travelers with mobile data options across more than two hundred countries and regions. The company employs over four hundred team members distributed across more than sixty countries and functions as a fully remote organization. Airalo is currently hiring a Senior Analytics Engineer, Finance to join the team based in the United Kingdom or Spain. In this role, the selected candidate will focus…
Job Description
Airalo operates an eSIM platform designed to provide travelers with mobile data options across more than two hundred countries and regions. The company employs over four hundred team members distributed across more than sixty countries and functions as a fully remote organization. Airalo is currently hiring a Senior Analytics Engineer, Finance to join the team based in the United Kingdom or Spain.
In this role, the selected candidate will focus on shaping data modeling and governance, specifically managing financial and revenue domains. Key responsibilities include creating and maintaining order-to-revenue pipelines, handling recognition logic, and executing reconciliations with source-of-truth financial systems such as an ERP. The professional will help establish semantic layers and standards while working alongside other data engineers and analysts to deliver production-ready analytics using tools such as dbt and LightDash.
This position suits an experienced data professional with a background in finance or revenue modeling who thrives in an autonomous, globally distributed environment. Candidates must communicate comfortably in English for daily synchronous and asynchronous collaboration.
Responsibilities
- Design, implement, and maintain dbt data models within a cloud data warehouse for cost efficiency, performance, and business logic alignment
- Build and maintain finance and revenue data models including order-to-revenue flows and recognition logic for reporting and forecasting
- Own the order-to-revenue pipeline to ensure traceable revenue recognition with accurate handling of refunds, adjustments, and currency conversions
- Collaborate with data and analytics engineers to build and scale ELT workflows that guarantee data freshness and reliability
- Partner with Finance and ERP systems integrators to validate that data models carry over correctly from legacy setups to new platforms
- Execute rigorous testing, documentation, and monitoring to maintain data quality and governance standards
- Translate complex business questions into scalable, production-ready data artifacts through cross-functional collaboration
- Partner with data analysts and domain leaders to roll out and support self-service analytics adoption
- Contribute to the ongoing evolution of the modern data stack by evaluating new tools
Requirements
- Over 5 years of professional experience in analytics engineering, data engineering, or analytics roles with heavy modeling responsibilities
- Hands-on experience building finance or revenue data models, including billing-to-revenue pipelines, revenue recognition, or financial reconciliation
- Strong SQL expertise and proven proficiency in designing scalable dimensional models
- Exceptional attention to detail regarding data accuracy for financial reporting and external disclosures
- Significant practical experience utilizing dbt Core or dbt Cloud for transformation logic, testing, and documentation
- Familiarity with cloud data platforms like BigQuery and orchestration tools such as Airflow or Dagster
- Experience working with modern BI platforms and semantic layers, with LightDash experience considered a strong advantage
- Demonstrated ability to partner with business stakeholders to translate needs into structured data products
- Strong English communication skills for both meeting participation and asynchronous collaboration
- Proactive self-starter attitude capable of navigating ambiguous problems and taking ownership from concept to production
Qualifications
- Bachelor or Master degree in a quantitative discipline like statistics, economics, mathematics, computer science, or equivalent professional experience
- Experience working within marketplace, telecom, travel, or mobility businesses
- Background in business-to-consumer product companies handling high-volume event data
- Experience building analytics engineering capabilities within low-maturity data environments
- Previous employment at a scale-up that underwent hypergrowth
- Experience defining and governing company-wide key performance indicators and metric frameworks
- Prior experience working alongside or inside a finance function supporting forecasting, accounting, or audits
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
This position is fully remote, with candidates required to be based anywhere in the United Kingdom or Spain.
What is the employment type?
The role is a full-time, permanent contract.
What is the salary for this position?
The posting does not specify a salary.
What primary tools are used in this role?
The role utilizes dbt Core or dbt Cloud, BigQuery for the cloud data warehouse, orchestration tools like Airflow or Dagster, and LightDash for modern BI and semantic layers.
Sample Interview Questions
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