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Asset Intelligence Engineer Intern ZA

Confidential

Magaliessig, Sandton Hybrid internship

Posted: March 6, 2026

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Quick Summary

We are looking for an Asset Intelligence Engineer Intern to join our team in Magaliessig, Sandton, South Africa as an entry-level position.

Job Description

Company Profile:
Candi is a dedicated solar partner for businesses across Asia and Africa. Combining the international capital of our Swiss-based platform with local expertise in these regions, we’re able to provide a unique offering to this underserved sector. In doing so, we aim to have a big social impact, reduce carbon emissions, create jobs, increase energy access, and save money for businesses of all sizes in emerging markets.

Our approach is to take the risk so our partners don’t have to, providing businesses with flexible, end-to-end solar and battery solutions that are built to last. Our shared value model leverages our experience in customisable finance and performance offerings, quality engineering, and data-enabled asset management to help guarantee optimised systems, lowering the barrier to entry and maximising returns. www.candi.solar

Job Summary: The company is looking to recruit an ambitious and energetic individual  for a six month internship as an Asset Intelligence Engineer , who will help the Candi Asset Management team to further deliver high performance on their solar portfolio. Given that Candi is taking solar into a new realm with a new set of tools, the role will require creativity, innovation and proactive involvement.  The internship will run for 6 months.

Specifically, the job requires taking ownership of the following for the South African team:

Daily real-time monitoring of portfolio of solar power plants and detection of issues and anomalies for the Technical Asset Management to solve

(Pre-)diagnostics on issues found in the monitoring activity

Support Technical Asset Management in tracking and solving of plant issues

Maintaining database for monthly performance monitoring

Validate and contextualize monthly performance indicators

Performance improvement analytics

Onboarding of new assets onto Asset Intelligence setup including data validation and monitoring portal integration

Assisting Asset Data Acquisition with data logger troubleshooting and data validation

Assist global Asset Intelligence team with ecosystem and tool development and maintenance

Experience : Graduate

Location: Johannesburg, combined with working from home.  Cape Town or Ballito can be an option based on suitability.

Hours: Full-time

Job Requirements:

University graduate (BTech / BEng / Electrical Engineering / Energy Systems / Data Science)

Basic knowledge of electrical power systems

Highly analytical in data processing and evaluation

Critical thinking and data validation skills

Data dashboarding/visualization knowledge

Programming skills and experience in Python are a plus

Fundamental Machine Learning knowledge is a plus

Desire to work in an international environment, sharing ideas and learnings across borders and cultures

Working Culture:

You agree to live out the Candi values every day of your employment: this includes to put empathy before ego, being authentic no matter what, that we get it done as one and follow the Candi principle that less is more.

A dynamic, cross-functional team player, willing to take initiative on projects in the context of a multicultural scale-up trying to execute big, bold ideas.

Having experience working for an international company, or having studied or worked abroad, is considered a plus.

You must be open, honest, trustworthy, a strong communicator, and understand that what we get done as a team surpasses what we get done individually.

Candi is an equal opportunities employer.

Candi is unique because...

We focus on helping businesses of all sizes in emerging markets get access to cheap, clean, solar energy.

We have a strong emphasis on a client-centric & innovation-driven working culture.

We are an international team where hybrid working is commonplace, where we trust our team members to actively carve out a role for themselves according to their skillset.

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