Analytics Engineer: Data Warehouse & Semantic Layer (Madrid)

Ebury; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Ebury in Madrid (Hybrid: 4 days in office, 1 day WFH) is looking for an Analytics Engineer to own your domain's data warehouse and set standards for modelling, structuring and consumption of data.

You will build the semantic layer that provides context and structure for AI agents and business stakeholders to leverage data effectively, turning raw domain data into trusted, reusable assets for the wider organisation.

Formación

• 2+ years of analytics engineering or data platform experience.
• Strong SQL skills with complex modeling and testing.
• Experience with dbt and data warehouse design.
• Finance domain knowledge and English fluency preferred.

Responsabilidades

• Partner with business teams to gather requirements for data products.
• Lead projects from definition to delivery with stakeholder testing.
• Balance strategic roadmap with hands-on data modeling work.
• Monitor data products for reliability and propose alerts.
• Build data models using modern software engineering practices.
• Collaborate to promote best practices across the platform.
• Manage data pipelines orchestration using Airflow.

Conocimientos

SQL

dbt

data modeling

data products

Analytics engineering

Herramientas

Airflow

Cloud Composer

Git / version control

Descripción del empleo

Ebury in Madrid (Hybrid: 4 days in office, 1 day WFH) is looking for an Analytics Engineer to own your domain's data warehouse and set standards for modelling, structuring and consumption of data.

You will build the semantic layer that provides context and structure for AI agents and business stakeholders to leverage data effectively, turning raw domain data into trusted, reusable assets for the wider organisation.