Job Description

The Role

To enhance the operational efficiency and strategic decision-making of Seriti Green's renewable energy portfolio by managing, analysing, and visualising data from multiple systems (e.g. SCADA/Master SCADA, and market feeds). The role ensures high-quality data management, develops predictive models, develops renewable energy generation profiles and provides actionable insights that optimise plant performance, asset reliability, and sustainability across multiple sites, including hybrid assets.

Key Responsibilities Include:

Data Management & Integration

Collect, clean, validate, and integrate data from SCADA systems, weather stations, market feeds, and other [operational] sources. Develop and maintain secure databases, cloud-based data lakes, and automated data pipelines. Manage real-time data streams and historian systems (e.g. OSIsoft PI/ PI Aveva, Wonderware). Implement and maintain ETL automation and data-governance frameworks to ensure integrity, accuracy, and compliance with internal and external standards. Support the integration of new or hybrid assets into the analytics environment as the portfolio expands.

Analytics & Reporting

Perform statistical analysis and predictive modelling to identify performance anomalies and forecast energy production. Expand analytics capability to include forecasting future production, scenario analysis, asset-degradation modelling, and maintenance-cost optimisation. Define, monitor, and drive key performance indicators (KPI's) including performance ratio (PR), availability, energy availability factor (EAF), unplanned downtime, soiling loss, and O&M cost per MW, translating insights into actionable business recommendations. Develop and maintain dashboards and visualisations using Power BI or Python-based tools for operational and management reporting. Develop use cases to improve operational plant's efficiency Generate regular and ad-hoc reports for internal teams, management, and external stakeholders. Leverage AI and LLMs, as this technology improves, to enhances decision making

Systems Optimisation

Collaborate with engineering, operations, finance and maintenance teams to identify inefficiencies and implement data-driven improvements. Lead or support root-cause analysis for system faults and under-performance events. Coordinate with contractors and vendors to ensure compliance, performance reporting, and corrective-action tracking. Contribute to digitalisation initiatives such as IoT integration, predictive-maintenance algorithms, and advanced performance-monitoring systems.

Project & Stakeholder Support

+ Implement and optimise analytics and AI platforms, digital systems, and data-management tools. + Collaborate with internal teams (engineering, finance, and operations) and external partners (OEMs, regulators, auditors) on data quality, compliance, and reporting.
+ Provide data-driven insights to inform strategic planning, investment decisions, and asset-lifecycle optimisation.
Support the expansion of Seriti Green's renewable portfolio by enabling data integration across multiple plants and hybrid technologies.

Education & Experience

Bachelor's degree in Data Science, Engineering, Computer Science, Renewable Energy, or a related field. Mega-Tronic's engineering would be advantageous. A Masters degree or certification in data analytics, energy systems, or machine learning will be advantageous. Minimum 5 years of experience in data analytics within the renewable energy, industrial, or manufacturing sectors. Proven experience with SCADA/historian systems (e.g. OSI PI, Wonderware), cloud-based data lakes, real-time data streams, ETL automation, Machine Learning and AI application tools. Experience in renewable energy operations, particularly within solar, wind, or hybrid power environments.

Technical & Soft Skills

Proficiency in SQL, Python, etc, with strong skills in data visualisation tools such as Power BI or Tableau. Understanding of machine-learning and statistical-modelling techniques. Knowledge of data-governance, IoT data integration, and cloud platforms (Azure, AWS). Ability to design and manage time-series datasets and real-time monitoring architectures. Strong analytical and problem-solving abilities with attention to detail. Excellent written and verbal communication skills, able to translate technical information into actionable insights. Collaborative, organised, and effective in cross-functional environments. Self-motivated, adaptable, and capable of managing multiple priorities.

Character & Attributes

Passion for sustainability and the renewable-energy sector. Experience in energy forecasting, asset-performance benchmarking, and predictive-maintenance analytics. Knowledge of regulatory frameworks and environmental-reporting standards relevant to renewable energy operations. Commitment to continuous improvement, innovation, and high-quality data-driven decision-making.

Employment Package Outline:

Salary:

Market Related

Benefits:

Employee Assistant Programme


Group Risk Insurance Cover


Medical Aid


Professional Development Opportunities


Retirement Contribution

Rewards:

Short Term Incentive

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All applicants are thanked for their interest.


Applications that have not been responded to within 30 days of the closing date should be regarded as unsuccessful.


Communication will be with shortlisted candidates only.