Data Engineer MMH

To leverage data, analytics, statistical modelling, and machine learning techniques to generate actionable business insights, support strategic decision-making, identify risks and opportunities, and drive continuous process improvement. The role is responsible for transforming complex data from multiple sources into meaningful information, predictive models, and visualisations that enhance business performance, improve operational efficiency, support governance requirements, and enable data driven decision-making across the organisation.

• Matric / Grade 12 (Essential)
• Computer sciences Degree relating to coding, data analytics, information systems, data bases etc. ( Essential)
• Honours degree in data Science or related. (Advantageous)

• 3 - 5 years' working experience as a Data Engineer.
• Databricks experience. (Essential)
• Ability to code in SQL (Essential)
• Machine learning and predictive modelling (Advantageous)
• Experience with different databases (Advantageous)
• Python Experience (Advantageous)

• Participate in discovery processes with business stakeholders to identify problems and opportunities that may be addressed with statistical modelling or machine learning.
• Identify, understand, interpret data structures across various databases within the business to facilitate data analysis and continuous monitoring activities.
• Advise on data collection; identify available and relevant data, potentially leveraging third party data sources.
• Contribute to data integrity and cleansing activities in order to increase the quality of data.
• Contribute to the automation and continuous improvement of data and reporting processes.
• Provide and compile data models to proactively identify risks within business, provide insight and to promote reuse and accuracy of reporting.