Job Description

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 involves 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.)

Are you someone who can:

Provide input into the budget and manage and report on budget usage that reflects delivery of planned work within agreed parametersControl expenditure and identify process improvements to contain and reduce costsBuild working relationships across teams and functional lines to enhance work delivery, collaboration and innovationDeliver customer experience excellence in own service delivery aligned to Organisational values and service standardsConduct hands-on work related to profiling, documenting and validating the clientsExecute remediation actions as agreed with client Install or update required system componentsImplement the necessary components and frameworks required for automated deployments and task schedulingBuild unit and systems tests to ensure successful delivery of components into productionManage the user acceptance testing UAT and associated signoff through change controlEnsure compliance with relevant statutory, legislative, policy and governance requirements in area of accountabilityEnsure implementation of relevant policies, governance and practice standards across the businessMaintain knowledge on relevant legislative amendments, industry best practices and internal compliance procedures and requirementsEnsure compliance is adopted in terms of systems and procedures as laid out by organisation and review in response to audit findings and changesDevelops an understanding of risks and risk management approachesImplement and provide input into the development of governance and compliance procedures and processes within area of specialisation and identify risksEducates others and makes suggestions for improvementsNetworks and participates in specialist risk forums where requiredTest relevant data coming from database to ensure it is not corrupted to ensure use of best practices and technologiesPerform data quality assessments and introduce monitors and alerts to ensure data quality is maintained throughout all managed systemsConfer with end users, clients, or senior management to understand and translate business requirements for complex development or into technical requirements enhancementsAssist with gap analysis and business cases including cost and effort analysisWork 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 needsTake 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 stackWork closely with Data Head/Manager and the Data Architect to meet business area relevant objectives and ensure delivery of effective solutionsBuild and/ or propose infrastructure to automate extremely high volumes of data delivery and creatively solve data volume and scaling challenges within area of accountabilityContribute to the design and architecture of innovative solutions to difficult problemsCreate change scripts and set up scripts to be ready and implemented in productionContribute and add value to architecture forums and solutions designUtilise various components and tools which make up the data platform for enhanced service deliveryCreate requirements and design of the technical architecture, Design and development, testing, and deployment of the proposed solutionPresent technology solutions to senior leadership and influence architectures that will lead the transformation of our data analytics platformConduct research on emerging technologies and provide expertise on technical environment or toolsRecommend and implement technologies that improve cost effectiveness and systems flexibility for own areaProvide Analytic infrastructure or big data technologies related support to Data operations and Analytic teamsGrow online technical knowledge platform, identify best practices and develop guidelines for optimum usage of toolsProvide required support for project roll out and support team membersDesign, implement, quality assure and deploy ETL (Extract, Transform and Load) transformations to enhance the Data Eco System and workflows that load, analyse and archive customer transactional dataTrain relevant employees on accessing Data Eco System and how to make the best use of its contentsDesign, build, and evolve custom ETL processes for feeding consumer systemsAcquire and collect data via ETL processes from source systems into the Reservoir and Enterprise Data warehouse, adhering to the appropriate data platform standardsIntegrate data from multiple sources through the enterprise data platform architecture to meet the business objectiveDevelop and maintain the physical data marts and databasesAutomate tasks related to data pipelines for the deployment of operational analyticsPrepare 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

You will be an ideal candidate if you have:

BSc in Computer and Information Science4 to 5 years’ experience in Data Management, Maintenance and SecurityHave a relevant Degree in Computer Science, Engineering, IT, Mathematics or equivalent or related fieldMinimum of 3 years experience within ETL tools such as Ab Initio and InformaticaAre proficient with programming languages (SQL, XML, Java, Python).Are familiar with data platforms (Oracle, Teradata, Hadoop, SQL).Have worked on Big Data platforms (Vanilla Hadoop, Cloudera, or Hortonworks).Have experience in designing and setting up large data systems.Have knowledge of large data architectures.Have experience with Scala or other functional languages.Have experience with reporting tools like PowerBi.

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You will have access to:

A dynamic and innovative work environment.Opportunities for professional growth and development.Collaborative and supportive team culture.Cutting-edge technologies and tools.

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We can be a match if you are:

Passionate about data engineering and technology.A proactive and innovative thinker.A strong communicator and collaborator.

Are you interested to take the step? We look forward to engaging with you further. Apply now!

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Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

03/10/25

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.