AI Data Engineer

You’ll work closely with AI engineers and data scientists to ensure data is accessible, clean, and ready for model training and inference.

Responsibilities:

• Build, manage, and optimise ETL pipelines for structured and unstructured data.
• Collect, process, and clean large datasets for AI/ML model training.
• Collaborate with AI/ML teams to support data requirements for research and production.
• Implement data storage, retrieval, and processing best practices.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Document data workflows, architecture, and pipeline processes.

Requirements:

• Strong programming skills (Python, SQL, and/or Scala).
• Experience with cloud platforms (AWS, GCP, Azure) and data storage solutions.
• Knowledge of big data frameworks (Spark, Hadoop, or similar).
• Familiarity with ML workflows and AI data requirements.
• Strong problem-solving and communication skills.