Maintenance Engineer – Data Science Projects Jobs in Sandton

A leading data-driven technology company is seeking a skilled Maintenance Engineer – Data Science Projects to join their growing team. This is a fantastic opportunity for a technically strong individual with a background in software engineering or computer science to support and enhance advanced analytics systems.

Location:

Sandton

Responsibilities:

• Monitor and maintain data-driven systems, including predictive models, pipelines, dashboards, and APIs in production.
• Identify and resolve issues related to performance degradation, data inconsistencies, or infrastructure stability.
• Implement automated checks and alerts to track system health, accuracy, and data quality.
• Perform regular updates and patches to tools, dependencies, and environments.
• Collaborate with engineering and analytics teams to improve code structure and maintainability.
• Document changes, maintenance procedures, and troubleshooting guides for transparency and team knowledge-sharing.
• Participate in incident response and root cause analysis to minimize system downtime.
• Ensure maintained systems align with security, privacy, and regulatory standards.
• Continuously evaluate and enhance reliability, efficiency, and performance of deployed solutions.

Requirements:

• A completed degree in Computer Science, Engineering, Applied Mathematics, or a related technical field.
• At least 4 years of experience in a relevant role such as data engineering, machine learning operations, or software system maintenance.
• Strong proficiency in scripting and programming languages commonly used in data workflows (e.g., Python, R).
• Solid experience with SQL and working with large, complex datasets.
• Familiarity with production environments and maintaining live analytics or data-driven applications.
• Knowledge of CI/CD practices, version control systems (e.g., Git), and containerization technologies (e.g., Docker).
• Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and understanding of cloud-native tools and practices.

What’s Offered:

• A highly competitive salary based on experience.