BRIEF DESCRIPTION:-
The Junior Digital Sustainability Engineer role involves developing and maintaining data platforms to integrate sustainability operational systems, creating dashboards and analytical products, automating sustainability processes, and ensuring stakeholder enablement. Key responsibilities include data integration, reporting, AI-enabled solution development, and compliance with IT and data governance standards. Essential requirements include knowledge of data engineering, AI principles, secure development, and proficiency in tools like Power BI and Python, along with 3-5 years of relevant experience.
Job Title: Junior Digital Sustainability Engineer - Sandton Head Office Company: Growthpoint Properties
Description
Key Performance Areas
Data Platforms & Integration
The development and upkeep of the Sustainability Insight data capability align with the approved domain-driven design (DDD) and enterprise data architecture, employing recognized platforms and adhering to standardized data, integration, security, and governance protocols to offer reliable Sustainability information. Integrating Sustainability operational systems—such as Energy, Water, Certifications, Waste, and Indoor Environment Quality—through automated data flows using approved integration techniques, APIs, security measures, and master-data standards, in collaboration with IT and relevant system owners. Automated data-quality controls identify and flag incomplete, invalid, or anomalous data. These issues are routed to the designated Sustainability data owner or steward for resolution, with recurring technical issues escalated through the agreed IT or data-governance process.
Reporting & Business Intelligence
Delivering dashboards and analytical products through recognized enterprise reporting platforms, utilizing governed Sustainability data products, agreed metric definitions, suitable access controls, and reusable semantic models where applicable. Automating reporting processes using approved tools and service identities, with proper monitoring, exception handling, documentation, ownership, and support arrangements. Identifying meaningful trends, risks, and opportunities through data analysis.
AI, Automation & Innovation
Automating manual Sustainability processes using approved enterprise tools and within approved IT development, testing, security, change, and support frameworks. Evaluating and developing AI-enabled solutions and prototypes in line with Growthpoint’s approved AI, information security, privacy, data governance, and technology review requirements, with appropriate human oversight before operational use. Identifying and implementing opportunities to improve existing systems and processes. Evaluating and successfully applying new technologies where business value exists.
Stakeholder Enablement & Professional Growth
Providing solution support and training to ensure users effectively use developed solutions. Eliciting, documenting, prioritizing, and translating Sustainability requirements into agreed data or technical deliverables in collaboration with business owners, DDD, IT, and relevant delivery partners.
Technology Governance & Delivery
Ensuring compliance with IT architecture and design standards, secure development and access control, controlled testing and deployment, and technical documentation and support handover. Designing, reviewing, developing, testing, deploying, documenting, and supporting digital solutions in accordance with approved IT, data governance, cybersecurity, change management, and release management requirements. Documenting business requirements, solution designs, data definitions, integration mappings, test evidence, operating procedures, and support ownership to the level required by the applicable IT process.
Requirements
Knowledge
Knowledge of data engineering, data modeling, 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. An 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 visualization. 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 organizing skills. Teamwork and collaboration. Effective verbal and written communication. Adaptability and resilience.
Experience
3-5 years of 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. Analyzes 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.
