Job Description
Job Description
Key Responsibilities
Data Engineering & Pipeline Management
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...