Data Engineer
Core
Design, develop, and optimize enterprise data platforms and data warehouse solutions to enable trusted, accessible, and high-quality information for strategic decision-making in Personal and Private Banking.
Role type
Senior Data Engineer
Builds
Enterprise data platforms, data warehouse environments, and scalable data integration solutions
Domain
Banking / Financial Services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL development, query optimization, data modeling, ETL/ELT processes, data governance, metadata management, data quality management, cloud data platforms, Agile delivery
Preferred skills
Cloud frameworks (Azure, AWS, GCP), Ab Initio, SSIS, SAS ETL, CI/CD practices
Technologies
Azure Data Factory, PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB, Python, SQL, Azure, AWS, Google Cloud
Responsibilities
Build and maintain robust data pipelines and ETL processes; Support and enhance enterprise data warehouse environments; Ensure data quality, integrity, and availability; Monitor, troubleshoot, and resolve data-related incidents; Translate business requirements into scalable data solutions; Participate in Agile delivery activities including planning, development, testing, and deployment.
Seniority
Senior, hands-on IC