Risk Data Engineering and Optimization Specialist: Hybrid, High-Paying & Growth Role

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Risk Data Engineering and Optimization Specialist

Hybrid setup, competitive salary, drive automation and optimisation in a major bank’s data team. Power BI, Power Apps and Python skills required. Strong career prospects await.




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Looking for a career-defining move? The Risk Data Engineering and Optimization Specialist role might be a perfect fit, offering a salary range of R61,600 to R113,900. This is a full-time, hybrid job—expect to work onsite for at least three days a week. Besides a competitive salary, you’ll also benefit from health insurance, tuition reimbursement, and a rewarding retirement plan.

Day-to-day Responsibilities

This position predominantly focuses on developing modern data infrastructure. You’ll extract, transform and visualise data using Power BI, Power Apps, and Python.

Automation is a big part, using Power Platform to streamline risk processes. Building Power Apps and workflows also falls under your remit, as does providing training in M365 tools.

Expect documentation duties to enhance process design and management. You’ll also be responsible for dashboard development and workflow automation using Power Automate.

Collaboration matters; success depends on working well with cross-functional teams and sharing knowledge for collective achievements.

Broader accountabilities may be assigned, demanding both autonomy and teamwork to deliver on varied risk data needs.

Pros

This role offers significant room for career growth due to its central placement in a high-performing technology environment. There’s ample opportunity to innovate, thanks to the bank’s Ambition 2030 vision.

Generous benefits and the hybrid work model provide an excellent work-life balance. You’ll be part of a culture that encourages winning together and continuous learning.

Cons

The hybrid working requirement may not suit everyone, especially those preferring fully remote work. The role’s technical breadth means you must stay up-to-date and multitask across several platforms and programming languages.

There’s a steep learning curve for those not familiar with automation tools or who haven’t worked extensively in banking risk environments.

Our Verdict

If you’re driven, tech-savvy, and enthusiastic about advancing your development and data skills, this job is a standout opportunity. The hybrid nature, competitive salary, and culture of innovation make it compelling for ambitious professionals aiming to make an impact in risk data and automation.

Recommended for you

Risk Data Engineering and Optimization Specialist

Hybrid setup, competitive salary, drive automation and optimisation in a major bank’s data team. Power BI, Power Apps and Python skills required. Strong career prospects await.




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