Graduate – Technology Team

_About NOA_

Established in 2022, NOA (Net Zero Africa) is a fully integrated energy company that generates, procures, aggregates and delivers clean, competitively priced electricity to commercial and industrial businesses across South Africa. Licensed as a trader by the National Energy Regulator of South Africa (approved 31 January 2025), we exist to REpower the African economy — helping customers reach net-zero while securing long-term energy savings.

Backed by $245 million in equity capital from Old Mutual's African Infrastructure Investment Managers (AIIM), we have 1.5 GW of generation capacity under construction, from NOA-owned wind, solar PV and battery storage sites alongside trusted independent power producers (IPPs).

South Africa is at a once-in-a-generation moment in its energy journey. We step up where others hesitate, absorbing the complexity of a young market and turning it into simple, credible solutions our customers and partners can trust — guided by The NOA Way, our intentionally crafted culture of all-in problem solvers who speak simply and truthfully, act big, and own the changes our nation needs.

_About the role _

NOA's Technology team is seeking Graduate Technology Analysts to join our 12-month graduate programme across Software Engineering, Product Design & Data Science. We are looking for individuals who are curious, technically minded and genuinely excited about building the digital backbone of a fast-scaling renewable energy business.

This is a rare opportunity to build a career in technology within a purpose-driven business. Our Graduate Technology Analysts contribute to the systems, tools and products that power how NOA generates, trades and delivers clean energy — whether that's writing code, designing user experiences, or building the data models that drive decision-making.

Whichever specialisation you join, you will work alongside experienced engineers, designers and analysts, solving genuinely novel problems as NOA's technology platform scales alongside the business.

Key accountabilities

• Support the design, development and testing of software applications and platform features (Software Engineering track).

• Contribute to UI/UX design and business intelligence dashboards that make complex data usable for internal teams and customers (Product Design track).

• Build and maintain data pipelines, models and analytics that support decision-making across the business (Data Science track).

• Collaborate with engineers, product managers and business stakeholders to translate requirements into working solutions.

• Participate in code reviews, design reviews and data quality checks, learning best practice from senior team members.

• Contribute to documentation, testing and continuous improvement of NOA's technology tools and platforms.

• Continuously learn new tools, languages and platforms as NOA's technology stack evolves.

Role requirements

Qualifications:

• Software Engineering & Data Science: a Bachelor's degree (or equivalent) in Computer Science, Engineering or a related technical discipline.

• Product Design: a relevant qualification in UI/UX design, Business Intelligence or a related design/technical discipline (specific qualification requirements to be confirmed based on specialisation).

• A strong academic record, with a demonstrated aptitude for logical, structured thinking.

Experience:

• No formal work experience is required — this is a graduate-entry role.

• Personal or academic projects, internships, hackathons, open-source contributions or a design portfolio (for Product Design applicants) are advantageous.

Who we are looking for

Behavioural competencies:

• Genuine curiosity & a self-driven approach to learning new tools & technologies.

• Comfort working with ambiguity & evolving requirements.

• Strong collaboration skills, with the ability to work across engineering, design & business teams.

• Clear communication, including the ability to translate technical concepts for non-technical stakeholders.

• Strong attention to detail

Technical & functional competencies:

• Solid programming fundamentals in at least one language, with an understanding of data structures & algorithms

• Familiarity with SQL &/or Python is advantageous.

• Product Design: familiarity with design tools (such as Figma) & UI/UX or business intelligence principles.
• Data Science applicants: a foundational understanding of statistics & data analysis techniques.