Data Engineer

AES Global; Cape Town; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

AES Global in Cape Town is seeking a Data Engineer to evolve its enterprise data platform and deliver trusted data products for investment, operations and client decisions.

The role covers the full data lifecycle—from ingestion and transformation to consumption—requiring hands-on experience building and operating modern data pipelines in production in a cloud-first environment.

Qualifications

• Hands-on experience building and operating production data pipelines.
• Proficient in Python and PySpark for data processing.
• Experience with cloud data services (Azure or AWS).
• Strong SQL skills and ETL/ELT design.
• Familiar with CI/CD and DevSecOps practices.

Responsibilities

• Own data products from ingestion to trusted consumption.
• Build robust data pipelines for structured and unstructured data.
• Contribute to data quality, governance and observability.
• Work with cloud-native tooling and scalable architectures.
• Explore AI opportunities to improve engineering quality and outcomes.

Skills

Python

PySpark

SQL

ETL/ELT

CI/CD

DevSecOps

Tools

Azure

AWS

Job description

We’re working with an established investment management firm, and they’re looking for a Data Engineer to help drive the evolution of its enterprise data platform, delivering trusted data products that power investment, operational and client-facing decisions.

Working across the full data lifecycle — from ingestion and transformation through to trusted consumption — you’ll help ensure data is reliable, scalable and fit for purpose. It’s a hands‑on role for an engineer who has designed, built and operated modern data platforms in production.

What you’ll do

• Own data products from ingestion through to trusted consumption
• Build robust data pipelines across structured and unstructured data
• Contribute to data quality, governance and observability practices
• Work with modern cloud-native tooling, CI/CD, Infrastructure-as-Code and scalable data architectures
• Explore how AI and emerging technologies can improve engineering quality and business outcomes

What you’ll bring

• 4+ years’ data‑engineering experience, building and operating data pipelines in production
• Strong Python and PySpark
• Microsoft Azure (first prize), or AWS — and their associated data services
• Strong SQL, and ETL / ELT
• CI/CD and a DevSecOps understanding

Working model

Hybrid in Cape Town — three days a week in the office.