Experteer Overview

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As an Analytics Engineer at Ebury, you own your domain's data warehouse and set standards for modeling, structuring, and consumption. You build a semantic layer that enables AI agents and stakeholders to access trusted, reusable data assets. Working within a Domain-Driven Design environment, you align Product, Engineering, and Data to ensure coherent architecture and reduce bottlenecks.

You will collaborate across teams to deliver robust data products that scale globally and impact decision-making.

Compensaciones / Beneficios

- Partner with the business to gather requirements and define technical action plans for data products
- Lead projects from definition to delivery, including stakeholder impact and testing strategies
- Balance strategic roadmap work with hands-on technical execution
- Proactively monitor and govern data products with alerting frameworks to catch anomalies




- Deliver hands-on data models using modern software engineering practices (version control, testing, CI/CD)
- Collaborate to reinforce best practices across the platform and promote quality
- Manage overall pipeline orchestration using Airflow (Cloud Composer)
- Contribute to and promote best practices for query development, version control, documentation, and testing

Responsabilidades

- 2+ years in analytics engineering roles
- Strong xugodme SQL skills for building, testing, and optimizing complex models
- Experience with dbt and data modeling
- Finance domain knowledge (Pu0026L, FX, exposure, reconciliation)
- Familiarity with Domain-Driven Design concepts
- English fluency (Spanish a plus)

Requisitos principales

- hybrid work arrangement (4 days in office / 1 day WFH)
- opportunity to work in a fast-growing fintech
- general impact and collaboration across teams

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