Senior Data Engineer
hace 5 días
Ebury is a leading FinTech company, recognized as one of the fastest-growing international companies in its sector. With a presence in over 25 countries, we have a diverse team of over 1,700 staff from various nationalities.
About the RoleWe are seeking a Senior Data Engineer to join our Data Engineering team, responsible for developing and maintaining Ebury's Data Platform. The successful candidate will work closely with the team to model and maintain the Data Platform, ensuring it serves the needs of the entire company.
Key Responsibilities- Design, develop, deploy, and maintain ELT/ETL data pipelines from various data sources, including transactional databases, REST APIs, and file-based endpoints.
- Serve as a hands-on delivery of data models using solid software engineering practices, such as version control, testing, and CI/CD.
- Manage overall pipeline orchestration using Airflow, as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE.
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
- Help implement data governance policies, including data quality standards, data access control, and data classification.
- Identify opportunities to optimize and refine existing processes.
- At least 4+ years of data/analytics engineering experience building, maintaining, and optimizing data pipelines and 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 Senior Data Engineer at Ebury, you will have the opportunity to work with a talented team, develop your skills, and contribute to the growth of a leading FinTech company. We offer a competitive salary, a dynamic work environment, and opportunities for professional growth and development.
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