Data Engineer

Contract Length: 1 Year (View to extend) Start Date: ASAP

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
• Required

Technical Skills

• 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
• Mandatory Banking Domain

Experience

Retail Banking: Accounts, deposits, loans, cards, transactions, and customer data. SME / Business Banking: SME lending, credit facilities, and business customer data. Corporate Banking: Corporate 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. Banking domain experience is mandatory. Candidates must have hands-on experience working with banking data, not just general data engineering experience. Salt is acting as an Employment Business in relation to this vacancy.