Engineer

Job Title: Engineer Company: Transnet Logistics Job Category: Machine Learning Roles & Responsibilities: Department: SP\-ITM \-LOCO\-CONTROL\-SYSTEM\-BRR Reporting To: Specialist: Traction \& Locomotive Integr The closing date is on . It is the responsibility of the applicant to ensure that HR has received the application before the closing date of the advertisement. To provide the Senior Engineer (Traction and Locomotive Integration Technology Technology) with engineering expertise in support of Locomotive Data Systems (Specification, front and back\-end software Development, and maintenance of locomotive data systems) so that Transnet can provide a sustainable, safe, predictable and affordable transport service to its clients. • Develop a comprehensive locomotive data systems strategy, inclusive of: • Locomotive data transmission protocol design and specification, • Migration of the Locomotive Data System Architecture to a Microservices architecture, • Continuous monitoring and technical support on all data collection devices, • Optimising server configurations, resource utilisation and system parameters to maximise performance. • Software development, to support the following functions: • Continuous data driven locomotive condition monitoring by various component VITs, • Development of techniques and algorithms for the purpose of assisting Transnet with predictive maintenance, • Develop Back\-office locomotive data system software (Database management, back\-end software, Data visualisation dashboards (front end), continuous locomotive condition monitoring, locomotive energy management system, Critical locomotive fault alerts messages), • Analyse and understand existing codebase, including its architecture, dependencies, and functionality. • Design, acceptance, and Continuous Condition Monitoring of data transmission devices: • To develop locomotive specification in line with technological advancements in the railway industry., • Perform failure analysis and investigations on components/ equipment and systems associated with Locomotive Data Systems and Performance. • Perform fault data analysis: Pinpoint potential problem areas to conduct technical investigations and to propose solutions, • Data Governance, Data Security and Cyber Security: • Ensure compliance to Data Governance and Data Security, • Ensure OT cyber security road map is implemented and continuous improvements to LDS cyber security. • Data Mining to enable Big data analytics insight and extraction: • Data frames, • Time series analytics to deduce the seasonality and stationarity in relation to the some of the failures on the locomotives, • To oversee and maintain version control systems (like GIT) ensuring efficient collaboration and code management. Responsibilities include: • Managing repositories, • DevOps and setting up CI/CD pipelines. KNOWLEDGE REQUIRED: • Full stack development • Structured Query Language. • User specification/codes. • Condition monitoring techniques. • Basic engineering knowledge to compile conceptual designs. • Knowledge of agile methodology for software and Hardware development SKILLS REQUIRED: • Software development • Application of relevant technology • Communication • Problem solving • Decision making • Self\-management • Data analytics, • Computer literate ATTITUDES REQUIRED: • Willingness to learn • Creative/innovative • Action orientated • Prepared to travel • Integrity • Disciplined • Technical minded • Knowledge of agile methodology for software and Hardware development projects execution is critical. SKILLS REQUIRED: • Software development • Analytical skills • Application of relevant technology • Communication • Problem solving • Information gathering • Interpretation skills • Decision making • Interpersonal skills • Evaluation skills • Networking • Self\-management ATTITUDES REQUIRED: • Willingness to learn • Perseverance/determination • Meticulous/systematic • Tenacity/flexible • Creative/innovative • Pro\-active • Action orientated • Environmental aware • Prepared to travel Equity Statement Work Location: Braamfontein, GP, South Africa Availability: Full time

Qualifications and Experience Key Skills: Machine Learning, Python Salary: Not disclosed