Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we´ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You´ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.

Senior Data Engineer

Madrid Office - Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid Office.

Ebury´s strategic growth plan would not be possible without our Data team and we are seeking a Senior Data Engineer to join our Data Engineering team!
Our data mission is to develop and maintain Ebury´s Data Platform and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively.

As a Senior Data Engineer, you will work closely with the rest of the team to help model and maintain the Data Platform.

What we offer:
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities:
- Be mentored by one of our outstanding performance team member along a 30/60/90 plan designed only for you
- Participate in data modelling reviews and discussions to validate the model´s accuracy, completeness, and alignment with business objectives
- Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints)
- Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer), as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE
- Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs
- Collaborate with team members to reinforce best practices across the platform

About you:
- 5+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
- Proficiency in Python and SQL
- Knowledge of software engineering practices in data (SDLC, RFC...)
- Stay informed about the latest developments and industry standards in Data
- Fluency in English
- As a plus:
• Experience with our modern Data stack tools
• Dimensional modelling/data warehousing concepts knowledge
• Spanish language

If you´re excited about this job opportunity but your background doesn´t match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.