Azure Data Engineer

The Legends Agency; Johannesburg; Hybrid; ZAR 700 000 - 1 400 000; Full time

Job summary

A leading recruitment agency is looking for an Azure Data Engineer in Johannesburg to build enterprise-scale data pipelines. This role involves working with Azure Data Factory and Azure Data Fabric in a hybrid environment. Candidates should have over 3 years of experience in data engineering, with expertise in designing and optimizing dataflows and ensuring data governance. The position offers a competitive salary ranging from R700 000 to R1 400 000 per annum.

Qualifications

• 3+ years of experience as a Data Engineer working with Azure Data Factory and/or Azure Data Fabric.
• Strong experience building data ingestion, transformation and orchestration pipelines.
• Skilled in designing Lakehouse, Data Lake and Data Warehouse solutions.

Responsibilities

• Build and maintain data ingestion, transformation and orchestration pipelines.
• Design and implement data structures across Lakehouse, Data Lake and Warehouse environments.
• Optimise dataflows to ensure performance, scalability and reliability.

Skills

Azure Data Factory

Data ingestion

Data transformation

Data orchestration

Data governance

Problem-solving

Job description

Azure Data Engineer

Build enterprise-scale data pipelines and modern cloud data solutions in a high-growth environment.

Johannesburg (Bryanston) · Hybrid Work · R700 000 to R1 400 000 CTC per annum

About Our Client

Our client specialises in delivering advanced, cloud-based data solutions for large enterprises across diverse sectors. They leverage the Microsoft data ecosystem to build high-performance architectures that enable analytics, machine learning, and data-driven decision-making. The environment is fast-paced, innovative, and focused on technical excellence and continuous learning.

Role: Azure Data Engineer

This role focuses on designing, developing, and maintaining data pipelines and cloud-based data solutions using Azure Data Factory or Azure Data Fabric. You will work across analytics, engineering and architecture teams to ensure data is accessible, reliable and optimised for use across the business.

Key Responsibilities

• Build and maintain data ingestion, transformation and orchestration pipelines using Azure Data Factory or Azure Fabric.
• Design and implement data structures across Lakehouse, Data Lake and Warehouse environments.
• Optimise dataflows to ensure performance, scalability and reliability.
• Develop ETL/ELT processes aligned to architectural and business requirements.
• Integrate structured and unstructured data sources into unified, consumable models.
• Apply data governance, security and quality standards across all pipelines and datasets.
• Collaborate with analytics, BI, ML and engineering teams on cross-functional data initiatives.
• Troubleshoot pipeline issues and implement monitoring, alerting and automation.

About You

• 3+ years of experience as a Data Engineer working with Azure Data Factory and/or Azure Data Fabric.
• Strong experience building data ingestion, transformation and orchestration pipelines.
• Skilled in designing Lakehouse, Data Lake and Data Warehouse solutions.
• Able to optimise and troubleshoot complex dataflows and integrations.
• Familiar with data governance, security principles and quality frameworks.
• Comfortable working with both structured and unstructured datasets.
• Proactive, analytical and detail-oriented with strong problem-solving skills.