Description
The client is seeking an intermediate Data Engineer to design, optimise, govern, and monitor enterprise data and machine learning pipelines in a Databricks ecosystem. The role covers data pipeline management, Delta Tables and notebooks, data quality, ML model training and deployment with MLflow, Power BI analytics, API integration monitoring, Git workflows, and collaboration with data scientists, analysts, and business stakeholders. Candidates need a degree or diploma in a relevant field and 3–5 years of experience in data engineering or related roles, along with hands-on experience in Databricks, MLflow, Power BI, Git, and API integrations.
