Empresa: Ebury
Provincia: hibrido
Población:
Descripción:
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
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 Staff 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.
Tecnologías: Python, SQL
Tipo de Contrato:
Indefinido
Salario: Sin especificar
Experiencia: 3 años
Funciones: Big Data
Descubre más: https://www.tecnoempleo.com/staff-data-engineer-ebury/python-sql/rf-86d11f33a203037ad644
