Azure Integration Engineer

Tenth Revolution Group; Cape Town; On-site; ZAR 900,000 - 1,200,000; Full time

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

Unlock the potential of data engineering in a role that drives innovation and transforms insights into action.

We are seeking a skilled Data Engineer for an onsite position, playing a pivotal role in harnessing cutting-edge Azure technologies. You will work with products such as Azure AI & Machine Learning, Azure Analytics, Azure Data, Azure DevOps, and Azure IaaS to deliver impactful solutions that enhance data processes and support business objectives.

Key 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 optimization of streaming platforms.
• Define messaging standards, schemas, and integration best practices.

API & Serverless Integration

• Develop and manage APIs using Azure API Management (APIM).
• Build serverless integration services using Azure Functions.
• Design RESTful APIs and microservices-based integration solutions.
• Manage API lifecycle, versioning, and security policies.

Data Platform Enablement

• Integrate data into downstream platforms such as Azure Databricks and SQL-based systems.
• Support real-time ingestion into analytics and operational reporting systems.
• Collaborate with data engineering teams on ingestion frameworks.

Governance, Security & Monitoring

• Implement monitoring, logging, and alerting for integration services.
• Apply authentication and authorization standards (OAuth, managed identities, RBAC).
• Ensure secure and compliant data movement across environments.
• Maintain architecture documentation and integration blueprints.
• Partner with enterprise architects and engineering teams to define integration strategy.
• Drive integration initiatives from design to production deployment.
• Provide technical guidance and mentorship to junior engineers.

Qualifications & Experience

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

If you are passionate about data engineering and ready to take on new challenges, we encourage you to apply for this exciting opportunity. Core benefits include a competitive pension plan, retirement savings contributions, and comprehensive medical insurance.