Data Engineer: Platform and Pipelines

Responsibilities

• Build and maintain ingestion pipelines from operational systems, files, APIs and events
• Design batch and streaming data pipelines that are resilient, observable and testable
• Normalize, enrich and transform raw data into reusable, well-structured datasets
• Enforce schemas, validate inputs and manage schema evolution
• Implement data quality checks and surface issues early
• Ensure data pipelines respect tenant and line-of-business isolation
• Collaborate closely with the Data Architect to implement modelling and governance standards
• Support migration of logic out of dashboards and into shared data pipelines
• Balance delivery speed with reliability and long-term maintainability

What you will work with

• Azure, Databricks, BigID and others
• Data ingestion frameworks and transformation pipelines
• Lakehouse-style storage and processing...