Junior Digital Sustainability Engineer - Sandton Head Office at Growthpoint Properties

Key Performance Areas

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.

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.

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.

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.

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

Requirements

Knowledge

• Knowledge of data engineering, data modelling and data warehousing concepts. 
• Knowledge of Power BI, Microsoft Fabric and enterprise reporting environments. 
• Knowledge of artificial intelligence, machine learning and workflow automation principles. 
• Understanding of APIs, system integrations and cloud-based data platforms. 
• Understanding of secure development principles, identity and access management, data privacy, information security, source control, testing, change and release management, and production support within an enterprise environment.
• Understanding of sustainability, energy, water, carbon and ESG reporting principles would be advantageous.

Job Specific Skills

• Python programming skills. 
• SQL and database querying skills. 
• Power BI dashboard development and reporting. 
• Data analysis and visualisation. 
• API and system integration fundamentals. 
• Technical documentation and reporting. 
• Ability to learn quickly.
• Requirements analysis and translation into technical specifications; 
• Version control and collaborative development practices; 
• Solution testing and defect management;
• Secure configuration and access-control fundamentals;
• Familiarity with Power Platform, Azure DevOps or equivalent approved lifecycle tooling would be advantageous.

Competencies

• Analytical thinking. 
• Problem-solving ability. 
• Learning agility and curiosity. 
• Attention to detail. 
• Initiative and self-motivation. 
• Planning and organising skills. 
• Teamwork and collaboration. 
• Effective verbal and written communication. 
• Adaptability and resilience.

Experience

• 3-5 years relevant experience. 
• Exposure to software development, data analytics or automation through academic projects, internships or employment. 
• Experience developing reports, dashboards or analytical tools would be advantageous. 
• Exposure to Power BI, Python, SQL or Microsoft technologies would be advantageous. 
• Sustainability or energy industry experience is beneficial but not required.

Education

• BEng Computer Engineering (preferred). 
• Alternatively, a degree in Computer Science, Mechatronic Engineering, Industrial Engineering, Electrical/Electronic Engineering or a related technical discipline. 
• Strong academic record with evidence of programming, analytics or technology-related projects. 
• Microsoft or technology certifications would be advantageous but are not required.

Internal Liaison

• Sustainability Team members. 
• Information Technology, Enterprise Architecture, Information Security, Data and Analytics or DDD teams, as applicable 
• Property and Facilities Management teams. 
• Finance and reporting stakeholders.

External Liaison

• Software and technology vendors. 
• Metering and monitoring service providers. 

Level of Decision Making

• Makes day-to-day decisions relating to assigned tasks and technical activities. 
• Recommends improvements to reports, dashboards, processes and systems. 
• Exercises judgement within defined guidelines and procedures. 
• Works under supervision, with strategic, financial and policy decisions remaining with management.
• Selects appropriate methods and approved tools for allocated work within agreed solution architecture, security, data-governance and delivery standards.
• May recommend new tools or architectural approaches, but may not introduce them into production without the required business and IT approvals.

Level of Problem Solving

• Works within established processes and frameworks. 
• Solves routine to moderately complex technical and data-related problems. 
• Analyses data and identifies trends, anomalies and opportunities for improvement. 
• Develops solutions under guidance from senior team members. 
• Escalates complex or high-risk matters when appropriate.