Data Engineer

• Contribute to cost efficiencies through responsible utilisation of work-related resources
• Establish relationships with relevant individuals and departments to deliver on work expectations
• Adhere to relevant service level agreements to build trust in the relationship
• Produce high-quality work by adhering to predefined standards and procedures, and by complying with and enforcing governance standards
• Work with enhanced processes and procedures to maintain operational efficiencies
• accurately deliver work to ensure consistent results
• Draw on knowledge and experience to identify and develop solutions that lead to improved service delivery and quality
• Adhere to quality standards, turnaround times, and company policies and procedures
• Complete relevant administration, reporting, and updating of information accurately and on time
• Research emerging technologies
• Recommend and implement technologies that improve cost effectiveness and system flexibility
• Confer with end users, clients, or senior management to understand business requirements for complex development or enhancements under guidance
• Assist with gap analysis and business cases, including cost and effort analysis
• Conduct hands-on work related to profiling, documenting, and validating the clients
• Execute remediation actions as agreed with the client. Install or update required system components
• Implement the necessary components and frameworks required for automated deployments and task scheduling
• Build unit and systems tests to ensure the successful delivery of components into production
• Manage the user acceptance testing UAT and associated signoff through change control
• Create change scripts and set scripts up to be ready and implemented in production
• Participate in solutions design
• Utilise various components and tools that make up the data platform for enhanced service delivery
• Create requirements and design of the technical architecture, design and development, testing, and deployment of the proposed solution
• Under guidance and supervision, work with the Senior Engineer to present technology solutions to senior leadership and influence architectures that will lead the transformation of the data analytics platform
• Learn from the Subject Matter Expert on the technical environment or tools for own area of expertise
• Provide Analytic infrastructure or big data technologies-related support to Data operations and Analytic teams
• Grow an online technical knowledge platform, identify best practices, and develop guidelines for optimum usage of tools
• Assist and work on projects to roll out and support team members
• Identify and utilize opportunities to assess and improve own performance
• Contribute to teamwork and inclusivity within own team

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