Azure Data Engineer

Dina Gates Recruitment (Pty) Ltd; Gauteng; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A dynamic recruitment agency is seeking an experienced Azure Data Engineer for their team in Gauteng, South Africa. The ideal candidate should have at least 2 years of hands-on experience with the Azure ecosystem, proficient in SQL querying, and strong knowledge of data warehousing and ETL processes. The role includes building data solutions and optimizing data pipelines while collaborating effectively with cross-functional teams. This position offers a chance to impact the company's data strategy significantly.

Qualifications

• Minimum 2 years of hands-on experience as a Data Engineer focused on Microsoft Azure.
• Strong experience with SQL, database design, and optimization.
• Experience with big data technologies like Apache Spark on Databricks.

Responsibilities

• Design, develop, and maintain ETL processes on the Azure platform.
• Collaborate with data scientists and business stakeholders for data solutions.
• Monitor and troubleshoot data pipelines for performance enhancement.

Skills

SQL querying

Azure Data Platform services

ETL methodologies

Problem-solving skills

Communication skills

Tools

Azure Databricks

Azure Synapse Analytics

Apache Spark

Power BI

Job description

Overview

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of experience to join our dynamic data team.

The ideal candidate will have a strong background in SQL, Microsoft Azure, data warehousing, data modelling and ETL processes, with hands‑on experience in Databricks, OLAP, and Azure Synapse Analytics.

You will play a key role in architecting, designing, and implementing scalable data solutions that drive business insights and support analytics initiatives.

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes on the Azure platform.
• Collaborate with data scientists, analysts, and business stakeholders to deliver end-to-end data solutions.
• Build and optimize data warehousing solutions using Azure Synapse Analytics and other Azure data services.
• Develop and maintain scalable data models and database structures with solid principles in database design.
• Implement and manage Databricks notebooks and clusters for efficient big data processing and analytics.
• Work with OLAP technologies to enhance data aggregation, reporting, and analysis.
• Ensure data quality, integrity, and security across different data sources.
• Monitor and troubleshoot data pipelines and optimize performance.
• Document data flow, architecture, and processes for knowledge sharing and compliance.

Required Qualifications and Skills

• Minimum 2 years of hands‑on experience as a Data Engineer with a focus on the Microsoft Azure ecosystem.
• Proficient in SQL querying, database design, and optimization.
• Strong experience with Azure Data Platform services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Blob Storage, and Azure SQL Database.
• Experience designing and building data warehouses or data marts.
• Knowledge of ETL / ELT tools and methodologies.
• Familiarity with OLAP cubes and multidimensional data models.
• Experience with big data technologies and frameworks like Apache Spark on Databricks.
• Ability to work with structured and unstructured data.

Strong problem‑solving skills and attention to detail.

Excellent communication skills and ability to collaborate with cross‑functional teams.

Desirable Skills

• Experience with Power BI or other BI tools.
• Familiarity with data governance and security best practices.
• Knowledge of Python, Scala, or other scripting languages.
• Cloud certifications like Microsoft Certified : Azure Data Engineer Associate.