Ebury helps ambitious businesses unlock integral 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 Treasury 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 A
📌 Senior Analytics Engineer (Madrid)
🏢 Ebury
📍 Madrid