Experteer Overview
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In this Analytics Engineer role, you own the domain's data warehouse and set standards for modeling, structuring, and consumption. You’ll build a semantic layer to enable AI agents and stakeholders to access trusted data assets. Working within a Domain-Driven Design approach, you’ll align Product, Engineering, and Data to deliver robust data products and maintain architectural coherence. You’ll collaborate cross-functionally to drive data quality, reliability, and scalable analytics that support global business growth.
Compensaciones / Incentivos
• 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
• Split between strategic roadmap and hands-on delivery, architecting multi-domain solutions and fixes




• Proactively monitor and govern data products; design alerting to catch anomalies
• Deliver hands-on data models using modern software practices (version control, testing, CI/CD)
• Reinforce best practices across the platform through collaboration
• Manage overall pipeline orchestration using Airflow (Cloud Composer)
• Promote best practices for query development, version control, code review, documentation, and testing xqbhyrx
Responsabilidades
• 2+ years in analytics engineering with dbt, SQL, data modeling; able to create trustworthy data products
• High proficiency in SQL; build, test, and optimize complex models
• Finance domain knowledge (Pu0026L, FX, exposure, reconciliation)
• Experience with or curiosity for Domain-Driven Design and its impact on data structure
• Fluency in English; Spanish is a plus
Requisitos principales
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📌 Analytics Engineer - Fintech (Madrid)
🏢 Ebury
📍 Madrid