Data Engineer
Summary
Build and maintain data pipelines to collect, clean, and transform raw data into insights for business decisions using SQL, Python, and cloud platforms.
Overview
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 related
Contact DYLAN MAWONA on [email protected] 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