Cloud Data Platform Engineer for Real-Time Analytics

cloudandthings.io; Wes-Kaap; On-site; ZAR 720,000 - 1,100,000; Full time

Benefits offered by this job

Competitive compensation

Flexible and supportive work culture

Career advancement opportunities

Ongoing learning and development

Job summary

cloudandthings.io is seeking a Data Engineer to design, build, and operate modern, cloud-native data platforms across AWS and Azure, leveraging Databricks, Microsoft Fabric, and AWS services. You will work across ingestion, transformation, modeling and serving to enable real-time analytics and AI use cases.

We welcome engineers from junior to principal levels and value ownership, rigorous coding practices, and the ability to translate complex requirements into production-grade data solutions

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field.
• Proven track record designing and implementing data solutions.
• Hands-on with Azure and/or AWS cloud infrastructure and services.
• Experience with at least one lakehouse platform (Databricks or Fabric).
• Knowledge of Docker/Containers/Kubernetes/CICD pipelines for data.

Responsibilities

• Design, build, and operate cloud-native data platforms.
• Cover full data lifecycle: ingestion, transformation, modelling and serving for real-time analytics and AI use cases.
• Develop scalable ETL/ELT pipelines using Databricks and Fabric.
• Implement data security, governance, and compliance across platforms.
• Collaborate with clients and teams to deliver production-grade data solutions.

Skills

Python

SQL

Databricks

Microsoft Fabric

AWS

Azure

Data modelling

ETL/ELT

CI/CD

Terraform

Linux

Git

Education

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

Tools

Databricks

Fabric

Terraform

Git

CI/CD pipelines

Job description

cloudandthings.io is seeking a Data Engineer to design, build, and operate modern, cloud-native data platforms across AWS and Azure, leveraging Databricks, Microsoft Fabric, and AWS services. You will work across ingestion, transformation, modeling and serving to enable real-time analytics and AI use cases.

We welcome engineers from junior to principal levels and value ownership, rigorous coding practices, and the ability to translate complex requirements into production-grade data solutions