Data Engineer

Overview

Hello future Data Engineer! RMB is a place where exceptional people create their own opportunities by challenging the conventional and driving sustainable impact. United by our proud heritage, strong ethics and philosophy of Traditional values. Innovative ideas, it’s the magic of our people and culture that sets us apart. Now, is the time to imagine your next move with South Africa’s number one employer in Financial Services for 2025, where you can embrace the power of collective thinking to unlock unique opportunities for our clients and society.

The Data Provisioning team is responsible for managing the process of providing access to data, ensuring that the right data is available to the right users or systems in a timely and secure manner. The team is tasked with provisioning, delivering, and maintaining data assets to meet the needs of various business stakeholders within RMB. Some of our functions involve Data Catalog and Metadata Management, Data Provisioning Automation, Data Integration and ETL Processes, and Data Access Management.

As a Data Engineer you will plan, design and implement scalable and robust data models and physical data models and ensure effective movement, collection, integration, storage and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.).

• Provide input into the budget and manage and report on budget usage that reflects delivery of planned work within agreed parameters
• 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
• Deliver customer experience excellence in own service delivery aligned to Organisational values and service standards
• Conduct hands-on work related to profiling, documenting and validating the clients
• Execute remediation actions as agreed with 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 successful delivery of components into production
• Manage the user acceptance testing UAT and associated signoff through change control
• Ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability
• Ensure implementation of relevant policies, governance and practice standards across the business
• Maintain knowledge on relevant legislative amendments, industry best practices and internal compliance procedures and requirements
• Ensure compliance is adopted in terms of systems and procedures as laid out by organisation and review in response to audit findings and changes
• Develops an understanding of risks and risk management approaches
• Implement and provide input into the development of governance and compliance procedures and processes within area of specialisation and identify risks
• Educates others and makes suggestions for improvements
• Networks and participates in specialist risk forums where required
• Test relevant data coming from database to ensure it is not corrupted to ensure use of best practices and technologies
• Perform data quality assessments and introduce monitors and alerts to ensure data quality is maintained throughout all managed systems
• Confer with end users, clients, or senior management to understand and translate business requirements for complex development or into technical requirements enhancements
• 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 to support changing data patterns and business use cases and to bridge the gaps between Data Engineering, Business and Product by constantly collaborating with all parties to understand data needs
• Take ownership of data delivery end-to-end for specific business use cases, as well as set and manage SLAs (Service Level Agreements)
• Tackle complex, intricate production-scale problems with tenacity, following them wherever they may go throughout the technology stack
• Work closely with Data Head/Manager and the Data Architect to meet business area relevant objectives and ensure delivery of effective solutions
• Build and/ or propose infrastructure to automate extremely high volumes of data delivery and creatively solve data volume and scaling challenges within area of accountability
• Contribute to the design and architecture of innovative solutions to difficult problems
• 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…