Data Engineer – Renewable Energy

1 day ago

Cape Town, South Africa Smart4 Energy Full time

About the Company Our Client Is a rapidly expanding renewable power platform and EPC technical partner delivering utility‑scale solar, hydro, and storage assets across emerging markets. They are investing strategically in plant automation, remote monitoring, predictive analytics, and cybersecurity‑aligned asset intelligence systems to scale operational excellence continent‑wide. About the Role Do you want to build the digital backbone behind Africa's next wave of renewable energy assets? We're recruiting a Data Engineer to join a high‑performing technical team driving centralised monitoring, plant automation, and asset‑level performance intelligence across a growing portfolio of power generation and storage sites. This is a role for someone who loves solving real‑world engineering problems using clean, reliable, well‑structured industrial data. Responsibilities Centralised Monitoring & Data Infrastructure: Design, deploy, and maintain a unified platform for operational and control data. Support real‑time plant visibility via a central monitoring hub. Ensure secure, standardised data exchange from SCADA, PLCs, sensors, and plant instrumentation. Automation & Control System Integration: Plan and oversee control system upgrades. Coordinate SCADA / PLC enhancement initiatives with technical vendors and maintenance partners. Define technical scope, implementation logic, and quality standards for automation deployments. Asset Performance Intelligence & Predictive Analytics: Build, optimise, and govern data pipelines. Identify operational inefficiencies using structured industrial datasets. Support failure analysis, predictive maintenance frameworks, and performance dashboards. Integrate external data sources (weather, irradiance, hydrology, market inputs) to strengthen asset insight. Cybersecurity, Backup & Data Integrity: Ensure secure access governance across automation environments. Maintain redundancy, backups, and recovery planning to protect asset data integrity at scale. Documentation & Continuous Improvement: Standardise data structures, dashboards, templates and taxonomies. Capture lessons learned for future automation and analytics rollouts. Evaluate and recommend new tools for monitoring, IoT and plant analytics. Qualifications Degree in Electrical, Control Systems, Mechatronics, or Computer Engineering. 3+ years practical experience in industrial data systems, SCADA / PLC environments, or plant automation. Required Skills Strong foundation in SQL, Python, MATLAB (or similar). Power BI, Grafana (or similar dashboards). APIs and Cloud‑connected IoT hubs (AWS, Azure, GCP, or equivalent). Industrial communication protocols. Ability to translate complex data into practical engineering insight. Comfortable driving multiple digital initiatives independently. Strong communicator with stakeholder‑level credibility. Willing to travel up to 50% across Africa and international project sites. #J-18808-Ljbffr

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