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 / Ventajas
- 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 practicesResponsabilidades
- 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 plusRequisitos principales
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📌 Analytics Engineer - Fintech (Madrid)
🏢 Ebury
📍 Madrid