Position: Data Engineer A dynamic organisation seeks an experienced Data Engineer to take on a multifaceted and impactful role. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Primary Duties and Responsibilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Train, evaluate, and deploy machine learning models across classification and regression tasks. Implement data quality monitoring and automated alerting frameworks for pipelines. Design data models and schemas optimised for analytical and high-performance workloads. Optimise SQL queries, stored procedures, and database performance across environments. Build A/B testing frameworks and experimentation infrastructure for product teams. Ensure compliance with data governance, privacy regulations, and security standards. Build self-service analytics capabilities that empower business teams to explore data. Required Qualifications: Detail-oriented mindset with the ability to synthesise and present complex information clearly. At least 24 years of hands-on experience in a comparable professional setting. Commitment to ongoing professional learning and industry knowledge enhancement. Ability to work both independently and in a team-oriented, collaborative environment. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.