Senior Al Data Engineer

Indsafri; South Africa; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Professional development

Data-driven projects

Sandton HQ

Job summary

Indsafri in Sandton, South Africa, is seeking a Senior AI Data Engineer to design, build, and maintain scalable data infrastructure for AI and ML workloads. You will collaborate with data scientists and ML engineers to deliver robust data solutions and ensure data quality across large, complex datasets.

The role offers a hybrid work model in Gauteng, with opportunities to influence data governance, optimize pipelines, and contribute to data-driven innovation in a leading organization.

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 supporting AI/ML workloads.
• Strong proficiency in SQL, Python, and data processing frameworks (Spark, Hadoop).
• Experience with cloud data services (AWS Redshift, Azure Data Lake, Google BigQuery).
• Solid understanding of ETL/ELT processes 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

Data pipelines

ETL/ELT

Data governance

Education

Bachelor's or Master's degree in CS/Engineering or related quantitative field

Tools

Spark

Hadoop

AWS Redshift

Azure Data Lake

Google BigQuery

Job description

Our client is seeking a highly experienced Senior AI Data Engineer to join their expanding data science team in Sandton, South Africa. 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.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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