Remote Data Engineer for AI & ML Pipelines

Placements24; East London; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Fully remote

Remote across SA

Job summary

Placements24 is seeking a skilled Data Engineer for a fully remote role, ideally near East London, South Africa. You will design, build, and maintain scalable data pipelines to support AI/ML initiatives, leveraging cloud platforms (AWS/Azure/GCP) and modern ETL/ELT techniques.

The position emphasizes data quality, security, and collaboration with data scientists. The role offers remote work from anywhere in South Africa and opportunities to work on cutting-edge data infrastructure projects to

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related quantitative field.

Responsibilities

• Design, construct, install, test, and maintain scalable data pipelines.
• Develop and optimize ETL/ELT processes to load data into warehouses and data lakes.
• Build and manage data infrastructure on cloud platforms (AWS, Azure, or GCP).
• Ensure data quality, integrity, and availability for AI/ML teams.
• Collaborate with data scientists and ML engineers to understand data requirements.
• Implement data security and compliance best practices.
• Monitor and troubleshoot data pipeline performance and resolve issues.
• Automate data processes with scripting and orchestration tools.
• Stay updated with emerging data engineering technologies.

Skills

SQL

Python

Data modeling

ETL/ELT

Cloud platforms

Airflow

Big data

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Spark

Job description

Placements24 is seeking a skilled Data Engineer for a fully remote role, ideally near East London, South Africa. You will design, build, and maintain scalable data pipelines to support AI/ML initiatives, leveraging cloud platforms (AWS/Azure/GCP) and modern ETL/ELT techniques.

The position emphasizes data quality, security, and collaboration with data scientists. The role offers remote work from anywhere in South Africa and opportunities to work on cutting-edge data infrastructure projects to