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 Platform 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 Platform team!
Our mission is to develop maintain and improve Ebury´s Data Platform with a focus on building scalable, robust, and innovative frameworks.

As a Senior Data Platform Engineer, you will work closely with the rest of the team to help develop and improve 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:
- Oversee the design, development, and maintenance of a robust data platform to be consumed across the company
- Collaborate with stakeholders to understand their data needs and deliver actionable insights
- Drive innovation and explore emerging technologies to enhance our data capabilities
- Establish and enforce data governance policies and standards to ensure data quality and security

About you:
- Proficiency in Python for data transformation and validation
- Proficiency in SQL for querying and managing large datasets, as well as experience working with structured and unstructured data sources
- Data engineering and modelling skills such as slowly changing dimensions and dimensional modelling
- Graph database modelling encouraged
- Hands-on experience with data warehousing, data lakes, and cloud platforms, including designing and implementing data solutions at scale
- Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
- Experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, Cloud Run, and Cloud Functions
- Fluency in English (Spanish, a plus)