Data Engineer
Unifi Group
We combine tech, data analytics and world-class customer service to offer intelligent lending that makes life easy. Our simple, fast unsecured personal loans can be accessed via our branches, apps and websites in South Africa, Tanzania and Zambia. About the role Unifi is on the lookout for a talented Data Engineer with strong expertise in Google Cloud Platform (GCP) to join our fast-growing team. In this role, you'll design, build, and maintain scalable data pipelines and architectures that power our business. You'll collaborate closely with data scientists and analysts to ensure seamless data flow across the organisation, enabling smarter decisions and impactful solutions. We're looking for someone who is analytically sharp, self-motivated, and thrives in an unstructured environment. A genuine passion for African business is a must—along with a healthy sense of adventure and a good sense of humour to match our dynamic culture. Responsibilities Design and build scalable data pipelines and architectures using GCP technologies such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage. Develop and manage ETL processes to transform diverse data sources into clean, structured formats for analysis and reporting. Partner with data scientists and analysts to understand their needs and deliver solutions that enable insights and decision-making. Create and maintain documentation for data pipelines, architecture, and data models to ensure clarity and consistency. Troubleshoot and resolve data-related issues quickly to minimise disruption. Continuously optimise data pipelines for performance, scalability, and cost efficiency. Automate workflows and processes through scripts and tools that streamline operations. Safeguard data quality and integrity across all sources, pipelines, and platforms. Stay ahead of the curve by keeping up with new GCP tools, best practices, and data engineering trends. Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years' experience as a Data Engineer or in a similar role. Strong programming skills in BigQuery, Python, SQL, and GCP. Proven expertise in ETL development and data modeling. Familiarity with data lakehouse concepts and techniques. Excellent problem-solving, analytical, and critical-thinking skills. Strong communication and collaboration abilities. Experience with Google Cloud Platform (GCP) technologies—especially BigQuery, with additional exposure to Dataflow, Pub/Sub, and Cloud Storage—considered highly beneficial. Background in financial services would be an added advantage. Closing Date 28 July 2026
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