Experteer Overview
As Analytics Engineer at Ebury in Madrid, you own your domain’s data warehouse and set standards for data modelling, structuring, and consumption. You will build a semantic layer to empower AI agents and business stakeholders with trusted, reusable data assets. Working within a Domain-Driven Design framework, you’ll align Product, Engineering and Data to ensure architectural coherence. This hybrid role combines strategic roadmap work with hands-on data engineering, in a fast-growing fintech environment that values collaboration and impact.

Compensaciones / Incentivos
• Own domain data warehouse standards, patterns and governance
• Design and deliver robust data products from definition to delivery with stakeholder impact and testing in mind
• Balance strategic roadmap planning with hands-on implementation and critical fixes
• Proactively monitor data products and propose alerting frameworks to catch anomalies




• Develop data models with modern software practices (version control, testing, CI/CD)
• Promote best practices for query development, code review, documentation and testing
• Manage data pipeline orchestration using Airflow in Cloud Composer
• Collaborate to reinforce platform-wide quality and best practices

Responsabilidades
• 2+ years in analytics engineering or similar roles
• Strong SQL skills for building, testing and optimizing complex models
• Knowledge of data products that are trustworthy, maintainable and valuable to end users
• Finance domain knowledge (Pu0026L, FX, exposure, reconciliation)
• Experience with Domain-Driven Design or strong curiosity about it
• English proficiency; Spanish is a plus

Requisitos principales
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📌 Analytics Engineer - Fintech (Madrid)
🏢 Ebury
📍 Madrid