Our client is seeking a capable intermediate-level Data Engineer with strong MLOps and analytics experience to support the design, optimisation, governance, and monitoring of enterprise data and machine learning pipelines.

The successful candidate will play a critical role in ensuring scalable, sustainable, and efficient data processes while supporting analytics, ML model deployment, integrations, and reporting initiatives within a Databricks ecosystem.

This opportunity offers strong long-term potential, as contractors are typically retained for multi-year engagements.

Requirements

Key Responsibilities

Data Engineering & Pipeline Management

• Design, optimise, and maintain scalable data pipelines within Databricks.
  
• Ensure pipelines are efficient, sustainable, easy to debug, and user-friendly.
  
• Impl...