Data Engineer III

The Data Engineer III role involves designing and implementing scalable data models, ensuring effective data movement, collection, integration, storage, and provisioning to meet business objectives. The role requires strong analytical skills, innovative thinking, and collaboration with stakeholders to deliver customer experience excellence and ensure compliance with regulatory requirements.

Requirements

• Provide input into the budget and manage and report on budget usage
• Control expenditure and identify process improvements
• Build working relationships across teams and functional lines
• Deliver customer experience excellence in own service delivery
• Conduct hands-on work related to profiling, documenting and validating clients
• Execute remediation actions as agreed with client
• Implement necessary components and frameworks for automated deployments and task scheduling
• Build unit and systems tests to ensure successful delivery of components into production
• Manage user acceptance testing UAT and associated signoff through change control
• Ensure compliance with relevant statutory, legislative, policy and governance requirements
• Develops an understanding of risks and risk management approaches
• Implement and provide input into the development of governance and compliance procedures and processes
• Test relevant data coming from database to ensure it is not corrupted
• Perform data quality assessments and introduce monitors and alerts
• Confer with end users, clients, or senior management to understand business requirements
• Assist with gap analysis and business cases including cost and effort analysis
• Work with team and stakeholders to continually assess and redefine data technology stack
• Take ownership of data delivery end-to-end for specific business use cases
• Tackle complex, intricate production-scale problems
• Work closely with Information Architecture Head and the Data Architect
• Build and/or propose infrastructure to automate extremely high volumes of data delivery
• Contribute to the design and architecture of innovative solutions
• Create change scripts and set up scripts to be ready and implemented in production
• Contribute and add value to architecture forums and solutions design
• Utilise various components and tools which make up the data platform for enhanced service delivery
• Create requirements and design of the technical architecture
• Present technology solutions to senior leadership
• Conduct research on emerging technologies and provide expertise on technical environment or tools
• Recommend and implement technologies that improve cost effectiveness and systems flexibility
• Provide Analytic infrastructure or big data technologies related support
• Grow online technical knowledge platform, identify best practices and develop guidelines
• Provide required support for project roll out and support team members
• Design, implement, quality assure and deploy ETL transformations to enhance the Data Eco System
• Train relevant employees on accessing Data Eco System
• Design, build, and evolve custom ETL processes for feeding consumer systems
• Acquire and collect data via ETL processes from source systems into the Reservoir and Enterprise Data warehouse
• Integrate data from multiple sources through the enterprise data platform architecture
• Develop and maintain the physical data marts and databases
• Automate tasks related to data pipelines for the deployment of operational analytics
• Prepare and provision data for advanced analytical modelling
• Perform data quality assessments and introduce monitors and alerts
• Participate in planned activities that are appropriate for own development

Benefits

• Banking domain experience
• Cloud exposure (AWS or Azure)
• Performance optimisation
• Data quality & governance