Senior Analytics Engineer, Finance
A
AiraloTravel technology
Remote, anywhere in Spain or the UK.Full-TimeSenior
Salary74,800 - 112,200 GBP per year
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Job Details
- 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.
- Experience
- 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities
- Required Skills
- SQLAirflowData modelingBigQuerydbt
Requirements
- Have a bachelor's or master's degree in a quantitative field, or equivalent work experience.
- Have 5+ years of experience in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities.
- Bring hands-on experience building finance or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition, or financial reconciliation.
- Demonstrate strong SQL and data modeling skills, including designing scalable dimensional models.
- Have significant hands-on experience with dbt Core or Cloud for transformation logic, testing, and documentation.
- Be familiar with BigQuery and orchestration tools such as Airflow, Dagster, or similar.
- Have experience with modern BI platforms and semantic layers; LightDash experience is a plus.
- Show attention to detail in financial reporting, reconciliation, and data accuracy.
- Have a track record of working with analysts and business stakeholders to translate requirements into structured data products.
- Be comfortable explaining complex data concepts to diverse audiences and taking ownership of ambiguous work through production.
Responsibilities
- Design, implement, and maintain dbt data models in the cloud data warehouse, aligning performance, cost efficiency, and business logic.
- Build and maintain finance and revenue models, including order-to-revenue flows, recognition logic, and reconciliation against financial source systems.
- Own the order-to-revenue pipeline, including refunds, adjustments, currency conversion, and edge cases.
- Collaborate with analytics and data engineers to build and scale reliable ELT workflows.
- Partner with Finance and the ERP systems integrator to validate models and definitions during migration to the new ERP/EPM platform.
- Implement testing, documentation, and monitoring practices to support data quality and governance.
- Translate complex business questions into scalable, production-ready data artifacts with cross-functional partners.
- Support adoption of self-service analytics with data analysts and domain leaders.
- Contribute to the evolution of the data stack, semantic layer, and analytics platform.
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