Job Overview You will refactor and harden the existing MVP application for multi‑tenant Saa S deployment: migration from SQLite to Postgre SQL/SQL, containerised Azure deployment, proper auth/RBAC, CI/CD pipelines, frontend migration from Vanilla JS to Angular,
You will refactor and harden the existing MVP application for multi-tenant SaaS deployment: migration from SQLite to PostgreSQL/SQL, containerised Azure deployment, proper auth/RBAC, CI/CD pipelines, frontend migration from Vanilla JS to Angular, API gateway design, observability,
Earth Observation Science & Technology Developer Job Openings Earth Observation Science & Technology Developer About the job Earth Observation Science & Technology Developer As an Earth Observation Science & Technology Developer, you will be responsible for designing, developing, and implementing
You will refactor and harden the existing MVP application for multi-tenant Saa S deployment: migration from SQLite to Postgre SQL/SQL, containerised Azure deployment, proper auth/RBAC, CI/CD pipelines, frontend migration from Vanilla JS to Angular, API gateway
Location Johannesburg & Cape Town Reports To The Section Manager or other professional consultant or any other person appointed to supervise him/her from time to time. Primary Position Purpose Responsible for designing and developing software applications
Job Description Translating business requirements into meaningful dashboards, reports, data models, and actionable insights Developing and optimizing ETL processes, data integrations, and data warehousing solutions to ensure data accuracy, integrity, and availability Analyzing complex datasets to
A leading technology consultancy in Pretoria is seeking an Earth Observation Science & Technology Developer to design and develop software solutions for Earth observation applications. The role requires a bachelors degree in engineering and expertise in software
Key Responsibilities Implement privacy-enhancing techniques (PETs) such as k-anonymity, l-diversity, t-closeness and differential privacy across data pipelines and analytics systems. Design and enforce PII minimisation strategies to ensure only necessary personal data is processed and exposed.
Key Responsibilities Implement privacy-enhancing techniques (PETs) such as k-anonymity, l-diversity, t-closeness and differential privacy across data pipelines and analytics systems. Design and enforce PII minimisation strategies to ensure only necessary personal data is processed and exposed.
Key Responsibilities Design and implement security controls for data platforms, pipelines, APIs and analytics environments. Apply privacy-enhancing techniques including k-anonymity, l-diversity, t-closeness and differential privacy to protect sensitive data. Ensure PII minimisation, data masking and secure