Senior Data Engineer at Ebury

Málaga, Andalusia, Spain -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Data Pipelines, ETL, Data Modelling, Software Engineering, Airflow, GCP, Cloud Composer, Container Registry, Artifact Registry, Cloud Run, Cloud Functions, GKE

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. Senior 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 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. You can also connect with me on LinkedIn - Gabriella Cheston #LI-GC2 #LI-HYBRID 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

As a Data Engineer, you will work closely with the team to help model and maintain the Data Platform. You will design, develop, deploy, and maintain ELT/ETL data pipelines from various data sources.