Senior Data Engineer — Lead Lakehouse & AI Platform

cloudandthings.io

Johannesburg

On-site

ZAR 1,000,000 - 1,600,000

Full time

11 days ago
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Benefits offered by this job

Competitive compensation package
Flexible work environment
Career development and mentorship
Cutting-edge technology projects

Job summary

cloudandthings.io is seeking a Senior Data Engineer to lead the design, build and operation of cloud-native data platforms across AWS and Azure, enabling real-time analytics and AI use cases. You will own delivery across the full data lifecycle—ingestion, transformation, modelling and serving—and work hands-on while providing technical direction.

Based in Johannesburg, you will shape architecture, set engineering standards, mentor engineers, and drive production-grade solutions for enterprise

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • 7+ years in data or software engineering with data platforms.
  • Experience with lakehouse platforms (Databricks or Fabric).

Responsibilities

  • Lead design and delivery of cloud-native data platforms.
  • Own end-to-end solution design from discovery to production.
  • Set engineering standards and review processes.
  • Mentor engineers and contribute to hiring.
  • Collaborate with clients to shape architecture and drive outcomes.

Skills

Python
SQL
Databricks
Microsoft Fabric
Terraform
Git
CI/CD
Linux
Spark / PySpark

Education

Bachelor's degree in Engineering, Computer Science, or related field

Tools

Databricks
Microsoft Fabric
Terraform
Bicep
Git
CI/CD

Job description

cloudandthings.io is seeking a Senior Data Engineer to lead the design, build and operation of cloud-native data platforms across AWS and Azure, enabling real-time analytics and AI use cases. You will own delivery across the full data lifecycle—ingestion, transformation, modelling and serving—and work hands-on while providing technical direction.

Based in Johannesburg, you will shape architecture, set engineering standards, mentor engineers, and drive production-grade solutions for enterprise

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