Development External Client Project Manager. Must have working experience in IT Software development within the Development Life Cycle (SDLC) working experience gained. Agile working experience gained. Be prepared and/or the software testing phases. Enhances department and organization reputation by accepting ownership to add value to job accomplishments. Willing to work overtime when needed. Salary Package: R60 000 –
facilitate practical enhancements within the department. Regularly communicate progress and strategic strategic improvements to the Head of Department, devising plans focused on tangible outcomes. Manage and consult
software. Ability to work under pressure and outside of normal hours. Must be prepared to work shifts (rotational tablets to laptops. Liaising with complementary departments to ensure adherence to security protocols. Monitoring COMPETENCIES: Ability to cope under pressure. Ability to work under independently and in a team. Excellent communication
using VB6. Proficiency in writing SQL queries and working with databases (MS SQL Server) Will be dedicated security as designed by the stake holders and department head. Consolidate data and design considerations
using VB6 Proficiency in writing SQL queries and working with databases (MS SQL Server) Will be dedicated security as designed by the stake holders and department head Consolidate data and design considerations
people's capabilities. Key Responsibilities: Client - Work with the Client Representative to ensure that modules training resources to allow all staff to self-develop. Work closely with Client groups and key account personnel in an instructional design role Higher level education and instructional design qualifications- advantageous
plans and objectives of the Technical services department Maintain accurate records of jobs completed and
collaborate with subject matter experts from various departments to gather requirements, define KPIs, and implement
actionable insights. They will collaborate with other departments to design data strategies, build models, and pipelines to prepare and clean data for modelling. - Work with data engineering teams to ensure data availability the team. - Foster a collaborative and innovative work environment. Data Privacy and Compliance: - Ensure