AI Data Engineer - Scale Data Pipelines (Hybrid)

Placements24; East London; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Paid time off

Professional development

Retirement savings plan

Team social events

Job summary

Placements24 is seeking an AI Data Engineer in East London to design and optimize data pipelines and infrastructure for AI/ML initiatives. You will ensure data quality and efficiency for data science teams, working with cloud platforms and modern big data technologies in a collaborative environment.

The role emphasizes building robust data architectures, implementing governance and security, and staying current with emerging data engineering practices to support AI deployments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Responsibilities

• Design, build, and maintain scalable and robust data pipelines for AI and machine learning applications.
• Implement ETL/ELT processes to ingest, transform, and load data from various sources into data warehouses or data lakes.
• Ensure data quality, integrity, and consistency across all data platforms.
• Optimize data architectures and query performance for large-scale datasets.
• Collaborate with data scientists and ML engineers to understand their data needs and provide efficient data solutions.
• Develop and manage data infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Implement data governance, security, and compliance measures.
• Automate data-related processes and workflows.
• Monitor data pipeline performance and troubleshoot any issues.
• Stay current with emerging big data technologies and data engineering best practices.

Job description

Placements24 is seeking an AI Data Engineer in East London to design and optimize data pipelines and infrastructure for AI/ML initiatives. You will ensure data quality and efficiency for data science teams, working with cloud platforms and modern big data technologies in a collaborative environment.

The role emphasizes building robust data architectures, implementing governance and security, and staying current with emerging data engineering practices to support AI deployments.