Senior Data Engineer

• Data Platform Management: Maintain the availability, performance, and cost efficiency of the Groups data platform and pipelines through proactive monitoring and optimisation.
• Data Engineering & Pipelines: Design and operate robust ETL/ELT pipelines and lakehouse workflows that deliver trusted, well-modelled data to analytics and business consumers.
• Data Governance & Quality: Ensure data quality, lineage, cataloguing, security, and access control across all data assets, maintaining audit readiness.
• AI & Analytics Enablement: Enable AI and machine-learning workloads by providing curated datasets, feature pipelines, and the supporting platform capabilities.
• Security & Compliance: Ensure the data estate meets cybersecurity, patching, and data-protection standards with zero critical vulnerabilities.
• Automation & Continuous Improvement: Develop and implement automation and improvement initiatives that enhance operational efficiency and platform reliability.
• Collaboration & Stakeholder Engagement: Build strong relationships with the Development team, Cybersecurity, and business stakeholders to ensure alignment and effective delivery.
• Reporting & Documentation Discipline: Produce accurate monthly reports and maintain up-to-date technical documentation for all data platforms and pipelines.

Key Responsibilities Data Engineering & Platform

• Design, build, and maintain scalable data pipelines and lakehouse solutions using Databricks, Azure Data Factory, Azure SQL, PostgreSQL, and Redis. • Develop and optimize data warehouses, data marts, and ETL/ELT processes. • Monitor platform performance, automate workflows, and maintain technical documentation. AI, Analytics & Data Solutions

• Deliver trusted datasets to support reporting, analytics, and AI/ML initiatives. • Collaborate with development teams to integrate data solutions into business applications. • Ensure data platforms are scalable, performant, and cost-effective. Data Governance & Security

• Own data governance, security, and compliance across the Group's data platform. • Ensure compliance with POPIA, GDPR, and internal IT governance standards. • Manage data access, lineage, cataloguing, encryption, and audit readiness. • Partner with Cybersecurity on risk management, vulnerability remediation, and compliance reviews. Stakeholder Collaboration

• Act as the primary data engineering contact within Group IT.
• Work closely with regional IT teams, R&D, and business stakeholders.
• Prepare operational reports, manage risks, and drive continuous improvement ini

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