Senior Data Engineer (ML)

📋 Description

• Migrate ML data pipelines from Databricks to SageMaker.
• Build/modify feature engineering pipelines and feature store with S3/Glue.
• Ensure parity with Databricks outputs via tests.
• Migrate data between Databricks and AWS; manage storage/IAM.
• Use CI/CD and IaC patterns for deployment; document runbooks.
• Collaborate with Evoke ML eng, CF team, and AWS ProServe.

🎯 Requirements

• Python / PySpark - Expert
• AWS data/ML stack - Advanced (S3, Glue/EMR, IAM basics)
• SageMaker (Pipelines, Feature Store, Endpoints)
• SQL – Advanced
• ML pipeline experience; pipelines for training/inference
• Clear communicator with client stakeholders

🎁 Benefits

• 35 days leave including bank holidays
• Private medical insurance
• Enhanced parental/adoption leave
• Financial coaching + 5% pension match
• 40 hours of paid learning and development
• Flexible hybrid/remote options; offices in Edinburgh, Leeds, Manchester, London