Position: Data Engineer We are on the lookout for a well-rounded Data Engineer to contribute to our operational and strategic priorities. The incumbent will operate in a structured yet agile environment that prioritises quality and professional growth. Scope of Responsibilities: Work with stakeholders to define data requirements and translate them into analytical solutions. Identify trends, anomalies, and patterns to generate actionable business intelligence. Collect, process, and analyse large datasets using statistical and machine learning methods. Build interactive dashboards and reports that translate insights into business narratives. Present analytical findings to technical and non-technical stakeholders with clarity. Maintain and optimise databases, data warehouses, and cloud-based data environments. Develop and validate machine learning models ensuring scalability and production readiness. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Competencies and Qualifications: At least 24 years of hands-on experience in a comparable professional setting. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Strong interpersonal and stakeholder management skills with a client-service orientation. Ability to work both independently and in a team-oriented, collaborative environment. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Proficiency in relevant software and digital tools specific to the functional area. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This is an outstanding opportunity for a motivated professional to advance their career within a reputable organisation.