Maintenance Engineer – Data Science Projects at Hire Resolve

Job Description

• A leading consulting company and a forward-thinking team is looking for a Maintenance Engineer to join their team in Johannesburg, GP. Your main mission will be to ensure the continued reliability, performance, and evolution of advanced data science systems. You’ll play a critical role in supporting the long-term value of deployed models, data pipelines, dashboards, and APIs — keeping them accurate, stable, and aligned to business needs. This position blends technical vigilance with continuous improvement and stakeholder collaboration. 

Key Responsibilities:

• Monitor the health and performance of production data science systems, including predictive models, dashboards, and data pipelines.
• Diagnose issues such as data drift, performance degradation, or infrastructure instability, and implement timely fixes.
• Automate monitoring tasks and health checks related to data quality, forecast accuracy, and pipeline execution.
• Update and patch environments and applications, ensuring smooth operation across versions and dependencies.
• Collaborate with engineers and data scientists to refactor and optimize code for long-term maintainability.
• Maintain detailed documentation and change logs to ensure knowledge sharing and traceability.
• Support incident response, including root cause analysis and post-incident improvements.
• Ensure compliance with all applicable data privacy, security, and regulatory standards.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum 2 years’ experience in a data engineering, MLOps, or system maintenance role.
• Solid understanding of data science production workflows, including pipelines and model lifecycle.
• Proficient in Python and R with strong debugging and refactoring capabilities.
• Confident in SQL and managing large-scale datasets in production.
• Experience with CI/CD, Git, and containerization tools like Docker.
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and DevOps best practices.
• Strong analytical, problem-solving, and communication skills.