Data Engineer

Responsabilities:

• Take ownership and responsibility for allocated client area
• Action the business requirement
• Develop and maintain data models
• Develop and maintain data code
• Develop and support code to load and transform data across technology platforms
• Manage the data estate databases, and data loader tools
• Ensure adherence to best practice principles and processes
• Interaction & engagement with team
• Continuous personal development

Min:

• Must have detailed knowledge of:
  • IT systems development processes (SDLC)
  • Application development
  • ETL processes
  • Relational database technologies
  • Dimensional modelling
  • Standards and governance
  • Agile development life cycle
  • Testing practices

Ideal:

• Knowledge of:
  • Data analysis and design
  • Data architecture (technical design and implementation processes)
  • Data Product Lifecycle
  • Solid understanding of:
    • Banking systems environment
    • Banking business model
    • Best practices for Quality Assurance (QA)

Technical Skills

• Minimum:
• Strong SQL and T-SQL
• SSIS
• Basic SQL Server and / or business intelligence tools (SSRS, SSAS)
• Data Warehousing
• Ideal:
• PowerBI
• .Net Development
• AWS Cloud services

Education:

A relevant post-graduate qualification (Hons / Masters) with majors in Statistics, Operational Research, Mathematics, Actuarial Science or Computer Science

Should you not receive a response from us within one week of your application, your application has unfortunately not been successful.