Position: Senior Data Engineer Our organisation is looking for an ambitious Senior Data Engineer committed to quality outcomes and sustained growth. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Main Accountabilities: Collaborate with engineering teams to embed analytics and AI into core product workflows. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Build A/B testing frameworks and experimentation infrastructure for product teams. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build self-service analytics capabilities that empower business teams to explore data. Design data models and schemas optimised for analytical and high-performance workloads. Optimise SQL queries, stored procedures, and database performance across environments. Implement data quality monitoring and automated alerting frameworks for pipelines. Essential Skills and Experience: Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Superior writing and communication skills with experience preparing executive-level documents. Collaborative, proactive, and able to operate effectively with minimal supervision. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Strong project management capabilities with experience in agile or structured methodologies. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. 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.