Position: Data Engineer A compelling career opportunity exists for a skilled Data Engineer to drive meaningful impact. The organisation is committed to nurturing talent and providing a platform for exceptional career growth. Scope of Responsibilities: 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. Develop and validate machine learning models ensuring scalability and production readiness. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Maintain and optimise databases, data warehouses, and cloud-based data environments. Apply predictive and prescriptive analytics to solve complex business challenges. Competencies and Qualifications: Detail-oriented mindset with the ability to synthesise and present complex information clearly. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. 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. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. A competitive compensation structure along with performance incentives and growth opportunities awaits the right candidate.