Position: Data Engineer Our firm seeks a competent and professional Data Engineer for a critical role in a high-performance environment. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Main Accountabilities: 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. Implement data quality monitoring and automated alerting frameworks for pipelines. Build self-service analytics capabilities that empower business teams to explore data. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Ensure compliance with data governance, privacy regulations, and security standards. Optimise SQL queries, stored procedures, and database performance across environments. Essential Skills and Experience: Excellent attention to detail and commitment to producing accurate, high-quality deliverables. 4+ years of experience with a demonstrated track record of growth and professional impact. Superior writing and communication skills with experience preparing executive-level documents. Strong project management capabilities with experience in agile or structured methodologies. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Candidates who meet the above requirements are encouraged to submit their detailed CV at the earliest opportunity.