Position: Senior Data Engineer We are currently recruiting a results-oriented Senior Data Engineer to strengthen our high-performing team. This is an excellent opportunity for professionals who value structured career advancement and meaningful impact. Key Deliverables and Responsibilities: Develop scalable data engineering pipelines to ingest, transform, and serve data. Build self-service analytics capabilities that empower business teams to explore data. Build A/B testing frameworks and experimentation infrastructure for product teams. Train, evaluate, and deploy machine learning models across classification and regression tasks. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Design data models and schemas optimised for analytical and high-performance workloads. Collaborate with engineering teams to embed analytics and AI into core product workflows. Publish insights, model performance reports, and data science findings to leadership. Professional Requirements: Hands-on experience with tools, software, and platforms standard to the profession. 26 years of relevant industry experience with evidence of increasing responsibility. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Strong communication, presentation, and interpersonal skills across all organisational levels. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We look forward to welcoming a driven professional who shares our commitment to excellence and sustained impact.