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. Main Accountabilities: Train, evaluate, and deploy machine learning models across classification and regression tasks. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build A/B testing frameworks and experimentation infrastructure for product teams. Design data models and schemas optimised for analytical and high-performance workloads. Ensure compliance with data governance, privacy regulations, and security standards. Implement data quality monitoring and automated alerting frameworks for pipelines. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Optimise SQL queries, stored procedures, and database performance across environments. Essential Skills and Experience: Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Collaborative, proactive, and able to operate effectively with minimal supervision. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Superior writing and communication skills with experience preparing executive-level documents. 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.