Job Description

Are you passionate about building digital infrastructure that powers smarter, more efficient renewable energy assets?
This is an exciting opportunity for a technically strong Data Engineer to join a growing renewable energy organisation and take ownership of the systems that enable advanced monitoring, automation, and data-driven performance optimisation across a diverse portfolio of power plants.
Our Client Is
A fast-growing renewable energy company operating across Africa, committed to delivering clean, reliable power through strong engineering, operational excellence, and digital innovation. They are investing heavily in automation, asset intelligence, and centralised performance monitoring - and are looking for a Data Engineer who can help build the platforms that support their future growth.
The Role
As Data Engineer, you will design, implement, and maintain the digital ecosystem that powers asset performance, remote monitoring, and data automation across the company's portfolio.
Working closely with engineering, operations, and asset management teams, you will ensure that high-quality data flows seamlessly from plant SCADA and control systems into central platforms where it can be transformed into actionable insight.
Key Responsibilities
1. Build & Maintain Centralised Monitoring & Data Systems
Design and manage a unified platform for performance, operational, and control data
Support a Central Monitoring Station (CMS) delivering real-time plant visibility
Ensure secure, reliable communication between plant-level systems (SCADA, PLC, sensors) and corporate databases
2. Lead Automation & Control System Integration
Plan and oversee automation upgrades to improve responsiveness and reliability
Coordinate SCADA, PLC, and instrumentation projects with O&M teams and vendors
Support scoping, commissioning, and QA of automation initiatives
3. Support Performance Improvement & Analytics
Analyse operational data to identify trends, inefficiencies, and optimisation opportunities
Help develop predictive maintenance and performance models
Convert data insights into engineering recommendations
4. Implement Cybersecurity & Data Integrity Protocols
Enforce cybersecurity best practices across control and automation systems
Manage data backups, redundancy, and recovery procedures
5. Develop Market & Resource Intelligence Platforms
Build datasets and dashboards for market prices, weather, irradiance, hydrology, and yield correlation
Strengthen forecasting and business intelligence capabilities
6. Partner Across Teams & External Vendors
Work with engineering, asset management, operations, and leadership teams
Coordinate with consultants, integrators, and technology partners
7. Standardise Documentation & Continuous Improvement
Create system architecture documentation, data taxonomies, and templates
Capture lessons learned and implement scalable standards
Qualifications & Experience
Degree in Electrical, Mechatronic, Computer, or Control Systems Engineering
3+ years' experience in automation, controls, or industrial data systems
Background in renewables, power plants, or industrial processes is ideal
Experience with dashboarding and performance analytics
Solid working knowledge of:
SCADA/PLC architecture & communication protocols
SQL / Python / MATLAB
Power BI, Grafana
APIs & cloud platforms (Azure IoT, AWS IoT, etc.)
Strong troubleshooting and systems-thinking mindset
Competencies
Analytical, structured, and detail-oriented
Strong communicator with ability to collaborate across teams
Proactive, hands-on problem solver
High integrity and ownership of data quality
Willingness to travel up to 50%
Why Apply?
Shape the digital & automation foundation of a fast-growing renewable energy portfolio
Work at the intersection of engineering, data, IoT, and plant performance
Have a direct impact on efficiency, reliability, and clean energy delivery
Competitive package, international exposure, and strong career growth opportunities

Skills Required