Azure Data Integration Engineer — Real-Time Streaming & API

Tenth Revolution Group

Cape Town

On-site

ZAR 900,000 - 1,200,000

Full time

8 days ago
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Benefits offered by this job

Pension plan
Retirement savings contributions
Medical insurance

Job summary

Tenth Revolution Group is hiring a Data Engineer for an onsite role in Cape Town, leveraging Azure AI & ML, Azure Analytics, and Azure Data. You will design event-driven architectures, build real-time streaming pipelines, and develop API and serverless integrations to empower data platforms.

The ideal candidate brings 6–7 years of integration engineering experience, strong Kafka and SQL skills, and a solid understanding of microservices and distributed systems, with Azure cloud expertise being

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 6–7 years of experience in integration engineering or middleware development.
  • Strong hands-on experience with Kafka and SQL.
  • Experience designing event-driven and microservices architectures.
  • Strong understanding of distributed systems and messaging patterns.
  • Experience working in cloud-native Azure environments.

Responsibilities

  • Design and implement event-driven architectures using Azure Event Hubs and Kafka.
  • Build and maintain scalable real-time streaming data pipelines.
  • Ensure high availability, fault tolerance, and performance of streaming platforms.
  • Define messaging standards, schemas, and integration best practices.
  • Develop and manage APIs using Azure API Management and build serverless integration services with Azure Functions.
  • Design RESTful APIs and microservices-based integration solutions.

Skills

Kafka
SQL
Event-driven architecture
Microservices
Distributed systems
Azure

Education

Bachelor's degree in Computer Science/Engineering

Tools

Azure Event Hubs
Azure Functions
Azure API Management
Azure Databricks

Job description

Tenth Revolution Group is hiring a Data Engineer for an onsite role in Cape Town, leveraging Azure AI & ML, Azure Analytics, and Azure Data. You will design event-driven architectures, build real-time streaming pipelines, and develop API and serverless integrations to empower data platforms.

The ideal candidate brings 6–7 years of integration engineering experience, strong Kafka and SQL skills, and a solid understanding of microservices and distributed systems, with Azure cloud expertise being

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