OVERVIEW  

A South African property fund is seeking a Data Systems Engineer to support its ESG and sustainability programmes. The role is central to building and maintaining the digital infrastructure that enables data-driven decision-making across energy efficiency, environmental performance, and financial modelling. It supports operational and strategic initiatives across a growing logistics portfolio, with a focus on renewable-energy data systems.

 

WHAT YOU’LL DO

 

•  Design, implement, and maintain robust data pipelines (ETL/ELT) to ingest data from IoT meters, SCADA systems, and financial platforms.

•  Build and optimise relational and non-relational databases to manage high-frequency, high-volume datasets.

•  Develop APIs and system integrations to automate data flow and improve operational efficiency.

•  Apply data quality checks, anomaly detection, and reconciliation routines to ensure data accuracy and reliability.

•  Deploy and operationalise AI/ML models for forecasting, anomaly detection, and optimisation.

•  Support financial and technical modelling for renewable-energy and energy-efficiency investments.

•  Collaborate with ESG, finance, and operations teams to align data systems with sustainability targets.

•  Maintain version control and deployment pipelines in line with DevOps/MLOps practices.

•  Document system architecture and data lineage to support audit and compliance requirements.

 

WHAT WE’RE LOOKING FOR

 

•  Bachelor’s degree in Computer Science, Computer Engineering, Chemical Engineering, Mathematics, or related quantitative field.

•  2–5 years’ experience in data engineering, software development, or applied analytics.

•  Strong programming proficiency in Python.

•  Hands-on experience with SQL/NoSQL databases, API development, and cloud platforms (AWS preferred).

•  Exposure to DevOps/MLOps pipelines, version control, and automated deployment tools.

•  Understanding of data structures, algorithms, and software architecture principles.

•  Proficiency in data visualisation and reporting tools such as Power BI or Tableau.

•  Familiarity with energy systems data (e.g., solar PV, IoT, weather, tariff, or asset data) is advantageous.

 

WHAT WE OFFER

 

•  Contribute to the digital backbone of a growing sustainability and ESG programme.

•  Work with multidisciplinary teams across energy, finance, and operations.

•  Gain exposure to data systems supporting large-scale logistics infrastructure and renewable-energy initiatives.

 

Should you not hear back from us within 14 days, your application was unsuccessful.