Data Engineer (Cloud)

Recruiter:

Golden Rule

Job Ref:

GDR03805

Date posted:

Thursday, July 23, 2026

Location:

Johannesburg, South Africa

Salary:

Negotiable

SUMMARY:

Role Purpose

We are seeking a Data Engineer to design, build, and optimise scalable data platforms and pipelines that support analytics, reporting, AI, and business intelligence. You will transform complex, high-volume data into trusted, analytics-ready datasets while ensuring data quality, governance, s...

POSITION INFO:
Role Purpose We are seeking a Data Engineer to design, build, and optimise scalable data platforms and pipelines that support analytics, reporting, AI, and business intelligence. You will transform complex, high-volume data into trusted, analytics-ready datasets while ensuring data quality, governance, security, and performance. Working closely with cross-functional teams, you will deliver modern cloud-based data solutions that enable clients to make data-driven decisions. Â Key Responsibilities Design, develop, and maintain scalable ETL\/ELT pipelines for batch and real-time data processing. Build and optimise data solutions using Azure, Microsoft Fabric, Databricks, Azure Data Factory, Synapse, Python, PySpark, and SQL. Develop and support enterprise data warehouses, data lakes, and cloud-based data platforms. Implement DataOps, CI\/CD, automation, monitoring, and data quality best practices. Ensure data governance, lineage, metadata management, and compliance with security and POPIA requirements. Collaborate with Architects, Data Scientists, Business Analysts, and client stakeholders to deliver scalable data solutions. Provide production support, troubleshoot complex data issues, and continuously improve platform performance. Mentor junior team members and contribute to technical best practices. Minimum Requirements Qualifications Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. Experience 4-6 years' experience in Data Engineering, Business Intelligence, or Data Platform development. Experience working with cloud data platforms and Agile delivery environments. Â Technical Skills Experience with most of the following: Microsoft Azure Azure Data Factory (ADF) Microsoft Fabric Azure Databricks Azure Synapse Python PySpark SQL Apache Spark Ab Initio Data Warehousing Data Lakes CI\/CD, DataOps Workflow Orchestration Kafka, Azure Event Hub, or similar streaming technologies Git and Infrastructure as Code Â Key Competencies Strong analytical and problem-solving skills Excellent communication and stakeholder management Client-focused with a collaborative approach Strong attention to detail and commitment to quality Passion for innovation and continuous learning

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