Job Summary
A company that develops, owns, and operates utility-scale power generation and energy storage plants across the African continent is seeking a Data & ML Engineer who will execute the technical implementation of the company's initiative under the direction of the Data Engineering Manager.Responsibilities:
Pipeline Design: Build and maintain modular, reusable ingestion and orchestration (APIs, SQL stored procedures, ETL/ELT) connecting sources such as CAMs, ERP, OT/IoT, and SharePoint into the SSOT.
Modeling & Optimization: Design coherent data models and feature pipelines supporting analytics and ML; execute advanced SQL performance and index tuning.
Operations: Maintain domain operational health, including active monitoring, alerting, performance tuning, and incident resolution.
Model Development: Build, evaluate, and integrate ML algorithms (forecasting, anomaly detection, neural networks) into active data workflows using standard Python libraries.
MLOps Implementation: Manage data/model versioning, CI/CD, drift monitoring, overfitting controls, and automated retraining pipelines for owned use cases.
Platform Configuration: Own AVEVA PI and CAMs for assigned sites/domains, designing Asset Framework (AF) element templates, hierarchies, event frames, and notifications.
Lifecycle Management: Oversee asset onboarding/offboarding, ensuring proper registration, interface maintenance, and data alignment with SSOT dashboards.
Standards & Security: Enforce data governance, IT security standards, and structured change management (approvals and rollback procedures).
Architectural Decisions: Autonomously make scalable design choices for owned domains, seeking alignment on major structural decisions.
Communication: Translate complex technical decisions and trade-offs for non-technical business stakeholders.
Mentorship & Delivery: Review peer code, mentor associates, drive cross-divisional alignment to meet timelines, and introduce new ML/data capabilities to the team.
Minimum Requirements:
Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative field.
Experience: 5–7 years in data engineering or platform development (5+ years acceptable with a demonstrated track record of independent delivery ownership).
Technical Experience: Hands-on experience with API integrations, ETL/ELT orchestration, data modeling, production operations, and deploying ML models.
Skills & Competencies
Programming & Querying: Strong Python and advanced SQL (schema design, index tuning, performance optimization). C# is an advantage.
Data & ML Engineering: Proven ability to build end-to-end ingestion frameworks, data models, and feature pipelines alongside solid MLOps discipline.
Industrial Platforms: Practical experience managing AVEVA PI (AF modeling, interfaces, event frames) and CAMs.
Core Behaviors: High degree of self-direction, strong engineering discipline, and clear stakeholder communication skills.
Advantageous
OT / Industrial Integration: Direct configuration of AVEVA PI tools (e.g., PI Integrator, APIs) and hands-on experience with energy/industrial IoT data.
Advanced ML: Production experience with MLOps frameworks and deep learning libraries (TensorFlow, PyTorch).
Cloud & Big Data: Experience with data lake architectures and orchestration tools (Azure Data Factory, Airflow, or Prefect).
Low-Code Automation: Working knowledge of Power Apps and Power Automate.
Benefits:
Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com
About
Specialists in Civil, Structural, Mechanical Engineering, Information Technology, Mining, Manufacturing and Finance Careers! Hire Resolve is one of the larger and more agile South African recruitment companies that focus on placing professionals and skilled people in permanent employment and contract employment. We prefer and focus on working with top quality professionals and candidates in South Africa and Africa. Hire Resolve has successfully placed Engineering, Mining, IT, Manufacturing and Finance professionals with top firms across the Western Cape, Eastern Cape, KwaZulu Natal, Gauteng and in Africa. Hire Resolve has assisted candidates to find jobs at over 100 JSE listed companies of which many are global companies with offices and operations in South Africa and Africa. It is for this reason that we are well respected in the industries we operate in and in the recruitment industry.
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