Position: Data Engineer Our organisation invites applications from accomplished professionals for the role of Data Engineer. This role sits within a fast-paced, innovation-driven organisation that values integrity and continuous improvement. Key Deliverables and Responsibilities: Optimise SQL queries, stored procedures, and database performance across environments. Train, evaluate, and deploy machine learning models across classification and regression tasks. Implement data quality monitoring and automated alerting frameworks for pipelines. Publish insights, model performance reports, and data science findings to leadership. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Ensure compliance with data governance, privacy regulations, and security standards. Build A/B testing frameworks and experimentation infrastructure for product teams. Collaborate with engineering teams to embed analytics and AI into core product workflows. Professional Requirements: Willingness to travel, adapt, and take on additional responsibilities as the business demands. Hands-on experience with tools, software, and platforms standard to the profession. Strong communication, presentation, and interpersonal skills across all organisational levels. 26 years of relevant industry experience with evidence of increasing responsibility. A structured, results-driven approach with the ability to meet defined milestones consistently. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. The organisation provides a comprehensive benefits package and excellent career advancement opportunities for the right candidate.