Foundry Data Solutions Engineer — Client Impact & Growth

Anonymous; Johannesburg; Hybrid; ZAR 900,000 - 1,700,000; Full time

Benefits offered by this job

Hybrid work model

Professional development opportunities

Sandton office presence

Job summary

Anonymous in Sandton is seeking a highly experienced Senior AI Data Engineer to join their expanding data science team. You will design, build, and maintain data infrastructure for AI and machine learning applications, handling large datasets, ensuring data quality, and optimizing pipelines to support data scientists and ML engineers.

This role offers a hybrid work model with competitive compensation and opportunities for professional development as part of a leading Gauteng data team.

Qualifications

• 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 AI/ML workloads.
• Proficiency in SQL, Python, and data processing frameworks such as Spark and Hadoop.
• Experience with cloud data services like AWS Redshift, Azure Data Lake, and Google BigQuery.
• Strong understanding of ETL/ELT and data modeling techniques.

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.

Skills

SQL

Python

Spark

Hadoop

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field

Tools

AWS Redshift

Azure Data Lake

Google BigQuery

Job description

Senior AI Data Engineer – Sandton

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.

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.