Position: Data Engineer Our organisation invites applications from accomplished professionals for the role of Data Engineer. This role provides exposure to strategic initiatives and direct collaboration with senior leadership. Role Responsibilities: Ensure compliance with data governance, privacy regulations, and security standards. Optimise SQL queries, stored procedures, and database performance across environments. Build self-service analytics capabilities that empower business teams to explore data. Design data models and schemas optimised for analytical and high-performance workloads. Train, evaluate, and deploy machine learning models across classification and regression tasks. Publish insights, model performance reports, and data science findings to leadership. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Build A/B testing frameworks and experimentation infrastructure for product teams. Education and Experience Requirements: Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Demonstrated proficiency with industry-standard tools, platforms, and methodologies. Minimum 35 years of progressive professional experience in a comparable role. High degree of professionalism, integrity, and alignment with organisational values. Strong analytical and problem-solving skills with the ability to navigate complex challenges. Excellent verbal and written communication skills; fluency in English is essential. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This role offers exceptional career growth, a collaborative culture, and a compensation structure aligned to market benchmarks.