Senior Analytics Engineer

<div class="content-intro"><p>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.</p> <p>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.</p></div><h2><strong>Senior Analytics Engineer&nbsp;</strong></h2> <p><strong>Location:</strong> Madrid or Málaga, Spain (Hybrid: 4 days in office / 1 day remote)</p> <h3><strong>About the Role</strong></h3> <p>As a <strong>Senior Analytics Engineer</strong>, 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.</p> <p>This is an opportunity for an engineer who wants to move beyond "just coding." Sitting at the precise intersection of <strong>Product, Tech, and Finance</strong>, 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 <em>"data"</em> and <em>"finance."</em></p> <h3><strong>What You Will Do</strong></h3> <ul> <li><strong>Own Data Product Strategy &amp; Delivery:</strong> Partner with stakeholders to define requirements, design technical roadmaps, and lead data products from discovery through testing and final delivery.</li> <li><strong>Balance Architecture &amp; Execution:</strong> 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.</li> <li><strong>Model with Engineering Excellence:</strong> Deliver reliable, scalable data models using modern practices including version control, automated testing, and CI/CD pipelines.</li> <li><strong>Proactive Monitoring &amp; Governance:</strong> Design alerting frameworks and monitoring practices to detect anomalies and enforce data quality before outputs reach business decision-makers.</li> <li><strong>Orchestration &amp; Performance:</strong> Manage workflow orchestration using Apache Airflow (Cloud Composer) and continuously optimize SQL models for high performance.</li> <li><strong>Champion Best Practices:</strong> Promote team-wide standards across dbt development, documentation, testing, and code reviews.</li> </ul&g