Unpaid Volunteer - IoT & Data Engineer

About the role

The Digital Technology Institute for Development (DTID) is an international non-profit advancing the responsible use of AI, blockchain and emerging digital technologies for sustainable development. It is seeking two unpaid, home-based Technology Officers in IoT and data engineering, reporting to the Chief Technology Officer. Candidates support research, technical development and proof-of-concept work on connected technologies and data-driven solutions.

Key responsibilities

• Support the design, development, testing and implementation of IoT and data-analysis solutions.
• Research and evaluate IoT technologies, datasets, analytical tools and technical approaches.
• Contribute to prototypes, pilots and Proof-of-Concept applications.
• Support data analysis, data science and data-modelling activities.
• Contribute technical input to research projects, papers and publications.
• Evaluate the quality, reliability, security and scalability of technology solutions.
• Prepare technical documentation, specifications, reports and knowledge resources.
• Collaborate with internal teams and engage with external experts and partners.

Required profile

• Preferred: Bachelor's or Master's degree in Computer Science, Engineering, IT, Data Science, Mathematics or a related field.
• Preferred: professional experience in IoT, data analysis, data science or data modelling, and experience with datasets, APIs and cloud platforms.
• Preferred: experience in an international, think tank, nonprofit, research or climate/sustainability organisation.
• Excellent written and spoken English; knowledge of Arabic, Chinese, French, Russian, Spanish or another language is an advantage.

Required skills

• IoT technologies, platforms and architectures.
• Data analysis, data science, machine learning and data modelling.
• Programming languages such as Python and R, and frameworks such as TensorFlow, PyTorch and Scikit-learn.
• APIs and data formats (JSON, XML, CSV); cloud platforms such as AWS, Azure or GCP.
• Agile development methods and technical documentation practices.