Senior AI Data Engineer
Summary
Senior AI Data Engineer in Sandton, South Africa (hybrid) who designs, builds, and maintains the data pipelines, warehouses, and lakes powering AI/ML workloads. Core stack includes SQL, Python, Spark/Hadoop, and cloud data services like Redshift, Azure Data Lake, and BigQuery, working closely with data scientists via placements firm Placements24.
About the Role
Our client is seeking a highly experienced Senior AI Data Engineer to join their expanding data science team in Sandton . You will play a critical role in designing, building, and maintaining the data infrastructure required for advanced AI and machine learning applications. This position involves working with large, complex datasets, ensuring data quality, and optimizing data pipelines to support data scientists and ML engineers. Become a key contributor to data-driven innovation within a leading organization in Gauteng .
Key Responsibilities
- Design, develop, and optimize scalable data pipelines for AI and machine learning projects.
- Implement and manage data warehousing solutions and data lakes, ensuring data integrity and accessibility.
- Collaborate with data scientists and ML engineers to understand data requirements and deliver robust data solutions.
- Develop and maintain data governance policies and ensure compliance with data privacy regulations.
- Monitor data infrastructure performance, troubleshoot issues, and implement improvements for efficiency and reliability.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 5+ years of experience in data engineering, with a focus on supporting AI/ML workloads.
- Strong proficiency in SQL, Python , and data processing frameworks (e.g., Spark, Hadoop).
- Experience with cloud data services (AWS Redshift, Azure Data Lake, Google BigQuery).
- Solid understanding of ETL/ELT processes and data modeling techniques.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunity to work on impactful AI and data initiatives.
- Professional development and continuous learning opportunities.
- Hybrid work model providing flexibility and work-life balance.
- Dynamic team environment in the heart of Sandton .