Data Engineer

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: Bachelors or Masters 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!

Location: Stellenbosch, ZA

Posted Date: 9/6/2025