Position: Senior Data Engineer We invite a proactive and capable Senior Data Engineer to lead and execute within a collaborative, agile environment. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Responsibilities Include: Develop and validate machine learning models ensuring scalability and production readiness. Maintain and optimise databases, data warehouses, and cloud-based data environments. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Collect, process, and analyse large datasets using statistical and machine learning methods. Document data architecture, lineage, and metadata management practices comprehensively. Work with stakeholders to define data requirements and translate them into analytical solutions. Identify trends, anomalies, and patterns to generate actionable business intelligence. Skills and Qualifications: Hands-on experience with tools, software, and platforms standard to the profession. Strong communication, presentation, and interpersonal skills across all organisational levels. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Willingness to travel, adapt, and take on additional responsibilities as the business demands. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. 26 years of relevant industry experience with evidence of increasing responsibility. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.