Key Responsibilities:

• Design and develop scalable data pipelines and architectures using Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Build and manage ETL processes to transform diverse data sources into structured, reliable formats.
• Collaborate with data scientists and analysts to deliver solutions that enable insights and smarter decisions.
• Maintain documentation for pipelines, data models, and architecture to ensure clarity and consistency.
• Troubleshoot and resolve data issues while safeguarding quality and integrity.
• Optimise data workflows for performance, scalability, and cost efficiency.
• Automate data-related processes to streamline operations.
• Stay ahead of industry trends and adopt best practices in Google Cloud Platform and data engineering.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 5+ years of experience as a Data Engineer or in a similar role.
• Strong programming skills in BigQuery, Python, SQL, and Google Cloud Platform.
• Proven experience with ETL development and data modeling.
• Familiarity with data lakehouse concepts and techniques.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Hands-on experience with Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Experience in financial services would be an advantage.

Don’t miss out, apply today!

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.

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.
 
Job Experience and Skills Required:
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.
 
Apply now!
 
For more exciting IT vacancies, please visit: www.********.co.za
 
I also specialise in recruiting in the following:

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

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:
Lameez Mohamed
Specialist Recruitment Consultant
Connect with me on LinkedIn! www.********.co.za