Position: Senior Data Engineer Our firm seeks a competent and professional Senior Data Engineer for a critical role in a high-performance environment. This is an excellent opportunity for professionals who value structured career advancement and meaningful impact. Key Deliverables and Responsibilities: Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Build self-service analytics capabilities that empower business teams to explore data. Publish insights, model performance reports, and data science findings to leadership. Train, evaluate, and deploy machine learning models across classification and regression tasks. Design data models and schemas optimised for analytical and high-performance workloads. Build A/B testing frameworks and experimentation infrastructure for product teams. Develop scalable data engineering pipelines to ingest, transform, and serve data. Collaborate with engineering teams to embed analytics and AI into core product workflows. 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. Willingness to travel, adapt, and take on additional responsibilities as the business demands. A structured, results-driven approach with the ability to meet defined milestones consistently. Strong communication, presentation, and interpersonal skills across all organisational levels. Demonstrated teamwork skills and the ability to build trust and rapport across functions. 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.