• Deliver engaging and effective training sessions on data engineering topics, including data warehousing, data modelling, ETL processes, big data technologies, and cloud-based data platforms.
• Utilise a variety of teaching methods, such as lectures, demonstrations, hands-on exercises, and real-world case studies to cater to diverse learning styles.
• Facilitate interactive discussions and encourage active participation from learners.
• Provide guidance and mentorship to learners, addressing their questions, challenges, and concerns.
• Foster a positive and inclusive learning environment that encourages collaboration and growth.
• Offer constructive feedback on assignments and projects to help learners improve their skills.
• Assist in the development, refinement, and updating of data engineering curriculum materials, ensuring alignment with industry standards and best practices.
• Stay informed about the latest trends and technologies in data engineering and incorporate them into the curriculum.
• Evaluate learner performance through assignments, projects, and assessments, providing timely and constructive feedback.
• Track and report on learner progress, identifying areas for improvement and providing individualised support.