Azure Cloud Data Platform Support Engineer (Remote)

Tumaini Consulting; Wes-Kaap; Remote; ZAR 700,000 - 980,000; Full time

Job summary

Together Staffing group is seeking a Cloud Data Platform Support Engineer for a South Africa-based role with a remote work model. The candidate should have 3+ years in cloud support/engineering, Azure data platforms, and strong SQL/Python/Spark skills.

Experience with monitoring tools, incident management, and automation is required, with advantageous exposure to Databricks, Synapse, Kubernetes, and CI/CD pipelines.

Qualifications

• 3+ years in cloud support engineering, cloud operations, or data engineering.
• Strong hands-on experience with Microsoft Azure cloud data platforms (data warehouses, pipelines, distributed compute).
• Ability to troubleshoot and resolve issues using SQL, T-SQL, Python, and Spark.
• Experience with cloud-native monitoring and observability tools.
• Understanding of incident management practices (escalation, RCA, prevention).
• Experience building automation with Python, PowerShell, or Bash.
• Ability to develop dashboards, alerts, and monitoring frameworks.
• Familiarity with Databricks, Synapse, Spark, Kubernetes, or Fabric (advantageous).
• Strong communication skills for both technical and non-technical audiences.
• Azure certifications or cloud certifications beneficial.
• Experience with Docker/Kubernetes and CI/CD pipelines advantageous.

Skills

Azure

SQL

Python

Spark

Data engineering

Cloud monitoring

CI/CD

Docker

Kubernetes

PowerShell

Bash

Dashboards

Alerts

Communication

Bachelor degree

Azure certifications

Education

Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related field

Relevant field

Tools

Databricks

Synapse

Kubernetes

Fabric

Docker

CI/CD

Job description

Together Staffing group is seeking a Cloud Data Platform Support Engineer for a South Africa-based role with a remote work model. The candidate should have 3+ years in cloud support/engineering, Azure data platforms, and strong SQL/Python/Spark skills.

Experience with monitoring tools, incident management, and automation is required, with advantageous exposure to Databricks, Synapse, Kubernetes, and CI/CD pipelines.