Staff Data Engineer at Ebury

Málaga, Andalusia, Spain -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Engineering, Data Modelling, Graph Database Modelling, Event Driven Architecture, Data Warehousing, Data Lakes, Cloud Platforms, GCP, BigQuery, Cloud Run, Cloud Functions, Mentoring, Data Governance, Technical Leadership

Industry

Financial Services

Description

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. Staff Data Engineer Málaga Office - Hybrid: 4 days in the office, 1 day working from home Join Our Data Team at Ebury Málaga Office. Ebury’s strategic growth plan would not be possible without our Data team and we are seeking a 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 Staff 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: Lead the architectural design, development, and maintenance of a robust and scalable data platform, setting the highest technical standards for solutions consumed across the company. Align with senior stakeholders and leadership to define the technical strategy for data, articulating complex technical trade-offs and ensuring platform roadmaps meet defined business requirements. Serve as a recognized expert and the go-to person for complex problem-solving within the data domain, overseeing multiple workstreams and delivering impactful projects. Proactively seek to enhance our data stack with industry trends and champion innovation within the team to elevate our data capabilities. Technically lead large-scale data initiatives, identifying opportunities to reduce complexity, improve reliability, and enhance efficiency. Establish and enforce data governance policies, setting the standard for data quality and security while mentoring other engineers to uphold these best practices. Mentor other engineers within the domain, unblocking their delivery through technical support and contributing to a positive team culture. About you: Proficiency in Python for data transformation and validation Proficiency in SQL for querying and managing large datasets, as well as extensive experience working with structured and unstructured data sources. Deep expertise in data engineering and modelling skills such as slowly changing dimensions and dimensional modelling. Graph database modelling encouraged. Event driven architecture data modelling encouraged. Extensive, hands-on experience with data warehousing, data lakes, and cloud platforms, including leading the architectural design and strategic implementation of data solutions at scale. Demonstrated ability to technically lead large-scale projects, align senior stakeholders on technical strategy, and present complex proposals to leadership. Proven track record of mentoring engineers and setting technical standards within a team. Deep experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, Cloud Run, and Cloud Functions. Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills. Fluency in English (Spanish, a plus). 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. #LI-CG1 About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 29 markets worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Vancouver to Auckland, we enjoy sharing team experiences and celebrating success across the Ebury family. Hard work pays off: in 2019, Ebury received a £350 million investment from Banco Santander and has won internationally recognised awards including Financial Times: 1000 Europe's Fastest-Growing Companies. None of this would have been possible without our proudest achievement: our great people. Enthusiastic, innovative and collaborative teams, always ready to disrupt and revolutionise the fast-paced FinTech sector. At Ebury, we’re committed to building a workplace where everyone feels valued, supported, and empowered to thrive. We’re proud to have active employee networks and ESG initiatives that reflect our inclusive culture, including our Women’s Network, LGBTQIA+ Network, and Veterans Network. These communities provide spaces for connection, mentorship, advocacy, and collaboration across our global teams. We believe in inclusion. We stand against discrimination in all forms and have no tolerance for the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story because we want you and your uniqueness to help write our future. Please submit your application on the careers website directly, uploading your CV / resume in English.

Responsibilities

Lead the architectural design, development, and maintenance of a robust and scalable data platform. Serve as a recognized expert and the go-to person for complex problem-solving within the data domain.