Data Engineer

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.

To 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:

• 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. Recommend and implement technologies that improve cost effectiveness and systems flexibility.
• Confer with end users, clients, or senior management to understand business requirements for complex development or enhancements
• 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 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.
• Acquire and collect data via ETL (Extract, Transform and Load) processes from source systems into the Reservoir and Enterprise Data warehouse, adhering to the appropriate data platform standards.
• Integrate data from multiple sources through the enterprise data platform architecture to meet the business objective.
• 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 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 sets scripts up 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.

You Will Be an Ideal Candidate If You:

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field. Post grad preferred.

Technical Skills:

• Proficiency in data engineering tools and technologies such as Ab Initio, SSIS, Informatica and SQL databases.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Strong Knowledge of ETL (Extract, Transform, Load) processes and data pipeline design and implementation.
• Expertise in data warehousing solutions.
• Understanding of data modeling, schema design, and data architecture best practices.
• Minimum of 5-7 years of experience in data engineering or a related field.
• Proven experience in designing, building, and maintaining scalable and robust data pipelines.
• Experience with real-time data processing and stream processing frameworks.
• Experience with data governance, data quality, and data security best practices.

Certifications (Optional)

• Professional Microsoft Certified: Data Engineer can be advantageous.

​You Will Have Access To:

• Opportunities to network and collaborate
• Challenging Working
• Opportunities to innovate
   

We Can Be a Match If You Are

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to work independently and take ownership of projects.
• Attention to detail and a commitment to delivering high-quality work.

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.

18/03/25

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.