Data engineer
Summary
Build and maintain data pipelines to collect, clean, and deliver insights for analytics and predictive modeling in a financial-services context.
Turn raw numbers into stories.
Design pipelines that fuel insights and strategy.
Perfect role for a mid-level Data Engineer with analytical flair.
You’ll collect, clean, and organise data from multiple sources, conduct in-depth analysis, and present your findings in ways that resonate with both technical and non-technical audiences.
Alongside your core analytics work, you’ll also collaborate with diverse teams, support predictive modelling efforts, and build pipelines that ensure reliable, accurate, and scalable data delivery.
This role is ideal for someone with a mix of technical expertise and storytelling ability—someone who doesn’t just crunch data but makes it speak.
Skills & Experience 4+ years’ experience in data analysis or engineering Strong background in SQL, Python, R, or Excel Basic knowledge of visualization platforms such as Power BI Familiarity with ETL processes, data pipelines, and cloud platforms (AWS, Azure, GCP, Ab Initio, Teradata) advantageous Excellent communication skills, with the ability to simplify technical terms for all audiences Strong analytical and problem-solving skills Qualification Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or relatedContact DYLAN MAWONA on dmawona@.za or 021 418 1750, quoting the Ref: CTI005654
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Seniority level Mid-Senior level Employment type Full-time Job function Analyst, Information Technology, and General Business Industries Financial Services IT System Data Services Technology, Information and Media