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hace 2 meses
Ebury is a hyper-growth FinTech firm, named as one of the top 15 European Fintechs to work for by AltFi. We offer a range of products including FX risk management, trade finance, currency accounts, international payments, and API integration.
About the RoleWe are seeking a Data Engineer to join our Data Engineering team. As a Data Engineer, you will work closely with the rest of the team to help model and maintain the Data Platform. Your main responsibilities will be:
- 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 (e.g., 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- Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.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.
Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in, we are headquartered in London and have more than staff with a presence in more than 25 countries worldwide. Cultural diversity is part of what makes Ebury a special place to be. We believe in inclusion and stand against discrimination in all forms.