Senior Analytics Engineer

About the role

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Senior Analytics Engineer

Location: Madrid or Málaga, Spain (Hybrid: 4 days in office / 1 day remote)

About the Role

As a Senior Analytics Engineer, you will be embedded directly within our domain structure. Operating under a Domain-Driven Design (DDD) model, you will bridge data and product engineering to build high-impact data products.

This is an opportunity for an engineer who wants to move beyond "just coding." Sitting at the precise intersection of Product, Tech, and Finance, you will translate complex business needs into trustworthy data products. In the AI era, context is everything—we are looking for someone who speaks both "data" and "finance."

What You Will Do

- Own Data Product Strategy & Delivery: Partner with stakeholders to define requirements, design technical roadmaps, and lead data products from discovery through testing and final delivery.

- Balance Architecture & Execution: Seamlessly shift between high-level domain strategy and hands-on technical execution—equally comfortable architecting multi-domain models as you are shipping critical code in your IDE.

- Model with Engineering Excellence: Deliver reliable, scalable data models using modern practices including version control, automated testing, and CI/CD pipelines.

- Proactive Monitoring & Governance: Design alerting frameworks and monitoring practices to detect anomalies and enforce data quality before outputs reach business decision-makers.

- Orchestration & Performance: Manage workflow orchestration using Apache Airflow (Cloud Composer) and continuously optimize SQL models for high performance.

- Champion Best Practices: Promote team-wide standards across dbt development, documentation, testing, and code reviews.

What We Are Looking For

- 4+ years in Analytics Engineering, Analytics/Data Engineering, or Data Platform roles with a strong focus on modeling and dbt workflows.

- Advanced proficiency in SQL (building, testing, and optimizing complex transformations) and a deep understanding of dbt.

- Practical knowledge of financial mechanisms—you understand concepts like P&L, FX exposure, reconciliation, and cash management.

- Experience with (or a genuine curiosity for) DDD principles and how they shape team ownership and data architecture.

- A strong instinct for what makes a data product trustworthy, maintainable, and directly valuable to business users.