Senior Data Engineer

Role summary

Builds the end-to-end data pipelines that bring every source into the platform reliably. Responsible for source integrations, ingestion, transformation, and data processing that feed the lakehouse and, later, the graph and ML layers. This is the core delivery role for the initial pilot use cases.

Key responsibilities

• Build and operate end-to-end data pipelines from source systems into the lakehouse / data fabric.
• Integrate structured, semi-structured, document, and time-series sources into a common platform.
• Implement data processing, cleansing, and transformation for the priority pilot use cases.
• Ensure pipeline reliability, monitoring, and data quality across all feeds.
• Work with the architect to align pipelines to platform standards and modeling conventions.
• Prepare curated datasets for the visualization and MLOps workstreams.