Data Engineer

SUMMARY:
Data Engineer (GCP) – Power Data-Driven Impact Across Africa!

POSITION INFO:
Are you a sharp, self-driven Data Engineer ready to build scalable pipelines and transform raw data into real-world impact? Join a fast-moving team where your expertise in Google Cloud Platform (GCP) will fuel smarter decisions and innovative solutions across the organization.

Join a fast-growing fintech reshaping access to personal credit across Africa. Operating in Zambia, Kenya, Uganda, and South Africa, this company uses cutting-edge tech and data to deliver fast, simple loans—and empower thousands of clients.

Key Responsibilities:

• Design and build scalable data pipelines and architecture 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.

• 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.

• Software Developers
• Mobile Developers
• Business and Systems Analysts
• BI and SQL Experts