Data Lead Engineer/Head of Data - Hybrid

Build a Modern, Scalable Data Platform

• Lead the design and rollout of our enterprise data architecture (data models, data lake/warehouse, streaming, integration patterns).
• Modernise data stack to cloud-native, event-driven, API-friendly platforms.
• Ensure all systems feed clean, structured, reliable data into a unified data environment.
• Build and maintain high-volume data pipelines that support real-time logistical operations.

Drive Data Quality, Governance & Trust

• Ensure our data is complete, clean, consistent and governed enterprise-wide.
• Establish data standards, definitions and master data frameworks everyone can follow.
• Put controls in place to meet POPIA and protect sensitive customer and operational data.
• Embed monitoring and observability so issues are found early and fixed fast.

Turn Data Into Actionable Insights

• Deliver well-modelled datasets that enable fast decision-making in operations, CX, finance, sales and operations.
• Make it easy for teams to self-serve insights without relying on analysts for basics.
• Partner with business teams to understand their challenges and turn those into data products.

Lead a High-Performing Data Engineering Team

• Build a strong team across data engineering, data architecture, and data operations.
• Implement engineering best practices: CI/CD, code quality, documentation, testing, and automation.

Keep the Data Platform Secure, Stable & Cost-Efficient

• Maintain reliable pipelines, uptime, and data availability.
• Optimise cloud compute, storage and pipeline costs while improving performance.
• Manage incidents, drive root-cause analysis, and prevent repeat issues.
• Ensure data security, access controls, and governance frameworks are followed across the business.

Enable Innovation and Future Capabilities

• Build the foundations for real-time insights that support routing, SLA management, returns, and customer experience.
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