Junior Digital Sustainability Engineer - Sandton Head Office

Purpose of the Job To build and enhance the digital capabilities of the Sustainability business by leveraging data engineering, analytics, automation and artificial intelligence to deliver innovative solutions that improve sustainability performance, operational insights and reporting across Growthpoint's portfolio. The role serves as a technical enabler between Sustainability and Information Technology, transforming complex sustainability and operational data into secure, scalable and supportable digital solutions that align with Growthpoint’s enterprise architecture, approved technology platforms, data governance requirements, cybersecurity standards and IT delivery processes. Key Performance Areas 1. Data Platforms & Integration Data platform development - The Sustainability Insight data capability is developed and maintained within the approved DDD and enterprise data architecture, using approved platforms and common data, integration, security and governance standards, to provide trusted Sustainability information. Data integration - Sustainability operational systems, including Energy, Water, Certifications, Waste and Indoor Environment Quality, are integrated through automated data flows using approved integration patterns, APIs, security controls and master-data standards, in collaboration with IT and relevant system owners. Data quality - Automated data-quality controls identify and flag incomplete, invalid or anomalous data. Issues are routed to the designated Sustainability data owner or steward for correction, with recurring technical issues escalated through the agreed IT or data-governance process. 2. Reporting & Business Intelligence Dashboard development - Dashboards and analytical products are delivered through approved enterprise reporting platforms, using governed Sustainability data products, agreed metric definitions, appropriate access controls and reusable semantic models where applicable. Automated reporting - Reporting processes are automated using approved tools and service identities, with appropriate monitoring, exception handling, documentation, ownership and support arrangements. Business insights - Meaningful trends, risks and opportunities identified through data analysis. 3. AI, Automation & Innovation Process automation - Manual Sustainability processes are automated using approved enterprise tools and within approved IT development, testing, security, change and support frameworks. AI solution development - AI-enabled solutions and prototypes are evaluated and developed in accordance with Growthpoint’s approved AI, information security, privacy, data governance and technology review requirements, with appropriate human oversight before operational use. Continuous improvement - Opportunities identified and implemented to improve existing systems and processes. Innovation delivery - New technologies evaluated and successfully applied where business value exists. 4. Stakeholder Enablement & Professional Growth Solution support & training - Users effectively supported and enabled to use developed solutions. Requirements and solution alignment - Sustainability requirements are elicited, documented, prioritised and translated into agreed data or technical deliverables in collaboration with business owners, DDD, IT and relevant delivery partners. 5. Technology Governance & Delivery IT architecture and design compliance; secure development and access control; controlled testing and deployment; technical documentation and support handover. Digital solutions are designed, reviewed, developed, tested, deployed, documented and supported in accordance with approved IT, data governance, cybersecurity, change management and release management requirements. Solution documentation and operational handover - Business requirements, solution designs, data definitions, integration mappings, test evidence, operating procedures and support ownership are documented to the level required by the applicable IT process