AI Data Engineer

Placements24; South Africa; Hybrid; ZAR 520,000 - 780,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Cutting-edge AI technologies

Job summary

Placements24 is seeking a skilled AI Data Engineer to join their client in Paarl, focusing on building robust data infrastructure to support AI initiatives. You will design scalable data pipelines, construct data warehouses and data lakes, and work with data scientists to ensure data quality and availability for model training and deployment.

This hybrid role offers flexibility between office and remote work and opportunities to work with cutting-edge technologies.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 2–4 years in data engineering with big data and cloud platforms.
• Proficiency in SQL and databases (PostgreSQL, MySQL, NoSQL).
• Hands-on with Spark, Hadoop, Kafka and cloud services (AWS/Azure/GCP).
• Familiarity with Python or Scala for data processing.

Responsibilities

• Design, build, and maintain scalable data pipelines for AI/ML workloads.
• Develop data warehousing and data lakes for large data volumes.
• Implement data quality checks and monitoring.
• Optimize data retrieval for model training and inference.
• Collaborate with data scientists and ML engineers to understand data needs.

Skills

SQL

Python/Scala

Big data tools

Cloud platforms

Data quality

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Hadoop

Kafka

AWS

Azure

Job description

About the Role

Our client is seeking a skilled AI Data Engineer to join their team in Paarl , focusing on building and managing robust data infrastructure to support advanced AI & Emerging Technologies initiatives. This role is fundamental to ensuring the availability, quality, and accessibility of data required for machine learning model training and deployment. You will work closely with data scientists and ML engineers to design, construct, and maintain scalable data pipelines and systems. This is an excellent opportunity to contribute to a data-centric environment and play a key role in enabling AI-driven insights.

Key Responsibilities

• Design, build, and maintain scalable and efficient data pipelines for AI/ML workloads.
• Develop and manage data warehousing solutions and data lakes to store and process large volumes of data.
• Implement data quality checks and monitoring systems to ensure data integrity and accuracy.
• Optimize data retrieval and processing for machine learning model training and inference.
• Collaborate with data scientists and AI engineers to understand data requirements and provide necessary data infrastructure support.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2-4 years of experience in data engineering, with a focus on big data technologies and cloud platforms.
• Proficiency in SQL and experience with database technologies (e.g., PostgreSQL, MySQL, NoSQL).
• Hands-on experience with big data tools such as Spark, Hadoop, Kafka, and cloud data services (AWS, Azure, GCP).
• Familiarity with Python or Scala for data processing and scripting.

Benefits

• Competitive salary and comprehensive benefits package.
• Hybrid work model offering flexibility between office and remote work.
• Opportunity to work with cutting-edge technologies in AI & Emerging Technologies in Paarl .
• Professional development opportunities, including training and certifications.
• A collaborative team environment focused on innovation and data excellence.