Data Engineering Lead

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.

Reporting to the Head of Data & AI Strategy, you'll lead a multidisciplinary engineering team, modernise our data ecosystem and build scalable, secure and AI-ready data solutions.

💡 WHAT YOU'LL BE DRIVING

• 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.

🎯 ESSENTIAL 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.

💻 TECHNICAL EXPERTISE

• Microsoft Fabric: OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intelligence and Power BI.

• Azure: ADF, Synapse, Databricks, Azure SQL, Event Hubs, Azure DevOps and related cloud services.

• Engineering: Python, SQL, Spark, PySpark, ETL/ELT, API Integration and Streaming Pipelines.

• DataOps & Governance: Git, CI/CD, Terraform/Bicep, Microsoft Purview, Observability and Data Security.

Advantageous: A relevant postgraduate qualification and Microsoft certifications (DP-700, DP-600 or AZ-305).

🌟 READY TO ENGINEER WHAT'S NEXT?

If you combine strong technical expertise with strategic thinking, people leadership and a passion for building future-ready data platforms, we want to hear from you!

📩 Apply today and help shape the future of Data Engineering and AI!

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We are committed to providing equal opportunities to all applicants from diverse backgrounds. Please note only candidates meeting the specified criteria will be considered.

Thank you for choosing us as your employer of choice. Please note that only suitably qualified candidates will be considered. If you do not hear from us within 14 working days, please regard your application as unsuccessful. We wish you well in your future endeavours.