Senior Data Engineer - Fintech
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 Warehouse and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively to:
- Build ETLs and data pipelines to serve data in our platform
- Provide clean, transformed data ready for analysis and used by our BI tool
- Develop department and project specific data models and serve these to teams across the company to drive decision making
- Automate end solutions so we can all spend time on high-value analysis rather than running data extracts
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- Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.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, encouraging a shared commitment to quality.
- Help to implement data governance policies, including data quality standards, data access control, and data classification.
- Identify opportunities to optimise and refine existing processes.
About you:
- 5+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
- Proficiency in Python, SQL and Airflow
- Knowledge of software engineering practices in data (SDLC, RFC...)
- Stay informed about the latest developments and industry standards in Data
- Fluency in English
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 25 countries worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Bucharest to Toronto, 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.
Ver más
¡No te pierdas nada!
Únete a la comunidad de wijobs y recibe por email las mejores ofertas de empleo
Nunca compartiremos tu email con nadie y no te vamos a enviar spam
Suscríbete AhoraÚltimas ofertas de empleo de Ingeniero/a de Datos en Madrid
Data Engineer
17 mar.rebAI
Madrid, ES
Second Window
Grupo Digital
Data Engineer Scala
14 mar.CMV Consultores
DevOps Engineer Kubernetes/AWS
14 mar.Grupo NS
DevOps - Freelance
7 mar.Akkodis
DevOps SysOps Senior
7 mar.Plexus
Senior Data Engineer
7 mar.Affirm
DATA ENGINEER con GCP
7 mar.Michael Page
Madrid, ES
Data Engineer
7 mar.BASF
Madrid, ES