AmaliTech is hiring a Data Engineering Instructor

AmaliTech Rwanda is seeking a highly motivated and experienced Data Engineering Instructor to support both the Training Center and Service Center functions. The successful candidate will play a key role in the AmaliTech Apprenticeship Program (AAP), a quarterly talent development initiative designed to equip aspiring technology professionals with industry-relevant skills and practical experience. In this role, the instructor will primarily support the Data Engineering track by delivering technical training, mentoring trainees, assessing learning progress, and contributing to the development of industry-ready data engineering talent. The instructor will also collaborate with internal teams, including the Data Engineering team in Ghana, to ensure alignment with industry standards and best practices. Key Responsibilities: - Deliver engaging technical training and mentorship in Data Engineering, covering Python, SQL, Apache Spark, Kafka, Airflow, and modern data architectures. - Guide trainees in designing, building, and managing scalable ETL/ELT pipelines and cloud-based data solutions using AWS and Microsoft Fabric technologies. - Support learners in data visualization and business intelligence development using Power BI, including dashboard creation, DAX, Power Query, and data modeling. - Assess, grade, and validate trainee projects, assignments, and technical assessments to ensure industry-ready competency levels. - Mentor trainees on best practices in data governance, CI/CD workflows, GitHub Actions, Delta Lake, and lakehouse architectures. - Collaborate with internal technical teams to continuously improve curriculum content, training delivery, and learning outcomes. - Contribute to fostering a hands-on, project-based learning environment that encourages innovation, problem-solving, and teamwork. Soft Skills: - Strong ability to explain complex technical concepts to learners with varying levels of experience. - Excellent facilitation, communication, and classroom management skills. - Comfortable working in a hands-on, project-based learning environment. - Fast learner with strong adaptability and problem-solving abilities. - Flexible and collaborative, with the ability to work effectively with cross-functional and international teams, including the Data Engineering team in Ghana. - Strong organizational and time-management skills.