client requires the services of a Software Engineer (Senior) with 6-8 Years related working experience of software development principles, algorithms, data structures, and design patterns Understanding of
programmes that will meet the Earth Observations Data user's requirements in the implementation of the QUALIFICATIONS Three years degree in Natural Sciences or Engineering. Honours or post graduate in Remote Sensing or
programmes that will meet the Earth Observations Data user's requirements in the implementation of the QUALIFICATIONS Three years degree in Natural Sciences or Engineering. Honours or post graduate in Remote Sensing or
recruiting for VDI - Virtual Device Software Developer (Senior) to join their team. Be part of a global team responsible relevant field of study (e.g., computer science, engineering, sciences, etc.) or a comparable qualification Automated problem remediation. Machine learning (ML) for data analytics. Understand Rest API technology. Experience
in transport management, planning, economics, engineering, business management or equivalent, along with our ideal candidate has experience in managing Senior Managers in diverse business functions such as
in transport management, planning, economics, engineering, business management or equivalent, along with our ideal candidate has experience in managing Senior Managers in diverse business functions such as
test strategy). Build effective relationships with senior stakeholders across the programme supporting the Gathering test data from respective business departments and can define requirements of the data extractors
strategy). - Build effective relationships with senior stakeholders across the program supporting the Gathering test data from respective business departments and can define requirements of the data extractors
months fixed term contract and contribute to their data-driven approach to financial management and decision-making of financial data. The ideal candidate will possess a strong background in finance, data analysis, and Qlik. Collaborate with finance teams to understand data needs and provide actionable insights to support decision-making. Design and implement data models, ETL processes, and data warehouses to facilitate comprehensive regular data validation and quality checks to ensure the accuracy and integrity of financial data. Provide
debugging other people's code, making changes to test data, etc. Provide guidance and assistance to more junior qualification in Information Technology or Computer/Engineering Sciences and/ or at least 6 years relevant experience