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Software Development
Data Engineering
Job Description & How to Apply Below
1 Year View to extend
Start DateASAP
Key Responsibilities- Develop data marts stored procedures and scheduled data transformation workflows
- Design data models and customer 360 views to support analytics ML and AI use cases
- Build reusable data products using banking datasets
- Support the planned transition from the existing Microsoft database environment to Amazon Redshift
- Some resources should also have strong Data Architecture or advanced Data Modelling capabilities
- Strong hands-on SQL development including complex queries and stored procedures
- Experience in data mart development data warehousing and data modelling
- Working knowledge of Python
- Experience with Microsoft SQL Server or similar databases
- Amazon Redshift knowledge is preferred
- Familiarity with AI-assisted development tools such as Copilot or Claude is an advantage
Accounts deposits loans cards transactions and customer data
SME Business BankingSME lending credit facilities and business customer data
Corporate BankingCorporate lending credit limits risk exposure letters of credit and trade finance
Expected Resource Split- Approximately 3 Data Engineers with Retail Banking experience
- Approximately 2-3 Data Engineers with SME Corporate Banking experience
- They should have additional Data Architecture and advanced Data Modelling capabilities
Candidates must have hands-on experience working with banking data not just general data engineering experience
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