Overview

We are 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 within a Databricks ecosystem.

Successful candidates will play a critical role in ensuring scalable, sustainable, and efficient data processes while supporting analytics, ML model deployment, integrations, and reporting initiatives. This position offers strong long‑term potential with multi‑year engagement opportunities.

Key Responsibilities Design, optimise and maintain scalable data pipelines within Databricks. Ensure pipelines are efficient, sustainable, user‑friendly, and easy to debug. Implement and maintain Delta Tables and Databricks notebooks. Perform data validation and basic data quality checks. Monitor and improve process governance and operational efficiency. Train, deploy and monitor machine learning models using MLflow. Analyse model ...