AI & Data Engineer | Finance & Banking Industry
Summary
Build and maintain ETL/data pipelines, migrate legacy systems to a cloud-enabled data ecosystem, and support data quality and analytics for a finance & banking client using SQL and cloud platforms.
We're looking for a data engineer to join a global team responsible for modernizing enterprise data platforms and enabling a unified customer view across multiple markets worldwide.
This role offers the opportunity to work on large-scale data migration and integration initiatives, helping transform legacy systems into a modern, cloud-enabled data ecosystem. You'll build and maintain data pipelines, improve data quality, and contribute to reporting and analytics that support key business decisions.
The ideal candidate has strong SQL and cloud experience (Azure, AWS, or GCP).
Responsibilities:Design, develop, and support ETL/data pipelines for enterprise data platforms.
Migrate and transform data from legacy applications into a modern data model.
Partner with business and technical teams to understand data requirements and integration needs.
Perform data analysis, validation, reconciliation, and troubleshooting activities.
Support data quality initiatives by identifying issues and implementing improvements.
Participate in ongoing enhancements, support, and optimization of data integration processes.
Key Skills:Cloud platforms (Azure, AWS, or GCP)
Data migration and integration
Data quality analysis and monitoring
Data warehousing and data modeling