As a Data Engineer, you will be part of FNB's talented team, working on designing and delivering products and services that meet business objectives through sound understanding of business unit requirements and frequent collaboration with stakeholders.
Requirements
- Control expenditure and identify process improvements to contain and reduce costs.
- Build working relationships across teams and functional lines to enhance work delivery, collaboration, and innovation.
- Conduct research on emerging technologies and recommend and implement technologies that improve cost effectiveness and systems flexibility.
- Assist with gap analysis and business cases including cost and effort analysis.
- Conduct hands-on work related to profiling, documenting, and validating clients.
- Execute remediation actions as agreed with clients.
- Implement 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.
- 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 to meet the business objective.
- Develop and maintain 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 by data scientists (as and when applicable).
- Perform data quality assessments and introduce monitors and alerts to ensure data quality is maintained throughout all managed systems.
- Create change scripts and set up scripts to be ready and implemented in production.
- Participate in architecture forum (as and when required).
- Utilise various components and tools which 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.
- Work with Senior Engineer to present technology solutions to senior leadership and influence architectures that will lead the transformation of our IT data analytics platform.
- Learn from the Subject Matter Expert on 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 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 to team members.
- Participate in planned activities that are appropriate for own development.
- Develop, encourage, and nurture collaborative relationships across area of specialisation.
Benefits
- Inspiring work environment
- Work that is challenging
- Space to make a difference
- Opportunities to innovate
- Focus on health and wellbeing (onsite wellness center, gym and crèche at our main campus to innovative employee wellbeing and financial fitness programmes)
- Resources to help you with your professional development
- Generous leave policy
- Preferential employee banking rates
