AI Data Engineer

Placements24; Gqeberha; Hybrid; ZAR 600.000 - 1.200.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Hybrid work

Health benefits

Modern data tools

AI projects

Zusammenfassung

Placements24 is seeking a skilled AI Data Engineer in Port Elizabeth to join a growing Eastern Cape team. This hybrid role blends on-site collaboration with remote flexibility, focusing on building and maintaining data infrastructure for AI and ML initiatives.

You will design scalable data pipelines, ETL processes, and data warehouses, ensure data quality for ML models, and collaborate with data scientists to meet delivery needs. Competitive salary and benefits are offered.

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, or related quantitative field.
• Proven experience as a Data Engineer with big data and cloud platforms.
• Proficiency in SQL, Python, and Pandas.
• Experience with Spark or Hadoop and data warehousing concepts.

Aufgaben

• Design, construct, install, and maintain scalable data pipelines and data warehouses for AI/ML.
• Develop ETL processes for large datasets from diverse sources.
• Ensure data quality, accuracy, and availability for ML models and analytics.
• Optimize data retrieval and manage storage solutions.
• Collaborate with data scientists and ML engineers on data requirements.

Kenntnisse

SQL

Python

Pandas

Spark

Hadoop

Big Data

Cloud Platforms

Ausbildung

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

Jobbeschreibung

About the Role

Our client is seeking a dedicated and skilled AI Data Engineer to contribute to their innovative projects in Port Elizabeth . This hybrid role offers a blend of on‑site collaboration and remote flexibility, focusing on building and maintaining the robust data infrastructure essential for AI and machine learning initiatives. You will be responsible for acquiring, cleaning, transforming, and preparing large datasets to fuel the development of sophisticated AI models. Join a growing team in Eastern Cape that values data integrity and efficiency, playing a key role in enabling data‑driven insights and AI advancements.

Key Responsibilities

• Design, construct, install, and maintain scalable data pipelines and data warehouses for AI/ML applications.
• Develop processes and tools for extracting, transforming, and loading (ETL) large datasets from various sources.
• Ensure data quality, accuracy, and availability for machine learning models and analytics.
• Optimize data retrieval performance and manage data storage solutions.
• Collaborate with data scientists and ML engineers to understand data requirements and delivery needs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• Proven experience as a Data Engineer, with a focus on big data technologies and cloud platforms.
• Proficiency in SQL, Python, and data manipulation libraries (e.g., Pandas).
• Experience with distributed data processing frameworks like Spark or Hadoop.
• Familiarity with data warehousing concepts and building data pipelines for ML use cases.

Benefits

• Competitive salary commensurate with experience.
• Hybrid work arrangement balancing office and remote work.
• Comprehensive health and wellness benefits.
• Access to modern data infrastructure and tools.
• Contribute to impactful AI projects in a supportive team environment.