Jobs

Data Engineering Lead

GBS

KwaZulu-Natal Associate Posted 30 Oct 2026 Closes in 34 days
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Vacancy at a glance

Company / organisation GBS
Location KwaZulu-Natal
Type Associate
Posted 30 Oct 2026
Closing date 4 Dec 2026

Confirm details and submission instructions on the original advert.

Overview

Lead Innovation. Build Scalable Data Platforms. Power the Future of AI. Are you an experienced Data Engineering Leader ready to drive enterprise-wide data transformation? We're looking for a strategic, hands-on Data Engineering Lead to take ownership of our enterprise data platform across Microsoft Azure and Microsoft Fabric.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science or a related field.
  • 7+ years in Data Engineering and Data Platform Development.
  • 3+ years leading technical engineering teams, including line management.
  • 3+ years hands-on experience with Microsoft Azure data services.
  • Minimum 1 year hands-on production delivery using Microsoft Fabric, or migration to Fabric.
  • Proven experience designing enterprise-scale cloud data platforms.
  • Experience managing production environments, SLAs, incidents and disaster recovery.
  • Strong exposure to large-scale data transformation, DataOps, governance and security within regulated environments.
  • Experience supporting AI, advanced analytics and real-time data solutions.

Responsibilities

  • Define and execute the enterprise data platform strategy and roadmap.
  • Lead cloud architecture, implementation and migration to Azure and Microsoft Fabric.
  • Manage and mentor Data Engineers, a Data Architect and Platform/DataOps Engineers.
  • Oversee end-to-end data engineering delivery, production operations, SLAs and disaster recovery.
  • Drive DataOps, CI/CD, automation, Medallion Architecture and modern engineering practices.
  • Establish data governance, security, quality and POPIA compliance standards.
  • Build reliable batch and real-time data pipelines supporting AI, advanced analytics and BI.
  • Manage platform performance, cloud costs, vendors and strategic stakeholders.

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