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# Analytics Engineer - Fintech

- **Company:** Ebury
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Code Review, Continuous Integration, Information Engineering, Data Warehousing, Database Queries, Domain Driven Design, Software Version Control, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://www.buscojobs.com.es/analytics-engineer-fintech-en-madrid-ID-366201943

## About the Role

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 / Beneficios - 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 (Pu****L, FX, exposure, reconciliation) - Experience with Domain-Driven Design or strong curiosity about it - English proficiency; Spanish is a plusRequisitos principales -

## Description

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 / Beneficios - 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 (Pu****L, FX, exposure, reconciliation) - Experience with Domain-Driven Design or strong curiosity about it - English proficiency; Spanish is a plusRequisitos principales -


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