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AES Global

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Software Engineer (AI & Data)

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Summary

Software Engineer (AI & Data) for an established investment management firm, office-based in Cape Town. Owns delivery end-to-end: building Python/C# solutions with AI-assisted features, ETL/ELT pipelines on Azure Data Factory and Databricks, Power BI dashboards, and CI/CD with Azure DevOps and GitHub.

We’re working with an established investment management firm, and they’re looking for a Software Engineer (AI & Data) — a builder who combines software development, data engineering and AI in one role.

This is a role for a developer excited by the shift toward AI-native development. You’ll own delivery end-to-end — from shaping requirements with stakeholders through build, test and deployment — using modern AI tooling to move faster. It’s not a pure-developer role: real data and AI experience is a must.

What you’ll do

  • Work with product owners and subject-matter experts to gather requirements and translate them into technical specs, owning delivery end-to-end
  • Build solutions in Python and C#, using AI coding assistants to accelerate development
  • Design, build and maintain API integrations and system connections across the Azure application ecosystem
  • Prototype and deploy AI-assisted features — document classification, anomaly detection, intelligent workflow routing, natural-language querying
  • Design and maintain ETL/ELT pipelines with Azure Data Factory and Databricks, and write SQL for data modelling and reporting
  • Build and maintain Power BI datasets and dashboards, and Power Automate / Power Apps workflows
  • Own CI/CD configuration and deployment with Azure DevOps and GitHub, and perform code reviews

What you’ll bring

  • 3+ years’ experience across software development, data engineering and AI (more-senior candidates also considered)
  • Strong Python and C#
  • Hands-on data engineering — ETL/ELT, SQL, and tools such as Azure Data Factory and Databricks
  • Experience building AI-assisted features and using modern AI tooling
  • Power BI, and the Microsoft Power Platform (Power Automate, Power Apps)
  • CI/CD with Azure DevOps and GitHub, working within an agile framework
  • Strong communication

Working model

Office-based in Cape Town.

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Skills

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See also

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