Data Engineering Manager

We are seeking a Data Engineering Manager to lead our Data Engineering team.

We work together. Your team and the people you will work with…

Managing a team of Data Engineers, you will own the end-to-end data lifecycle—from high-volume ingestion to analytics transformation. You will set the technical vision, mentor the team, and build a scalable backbone for UW’s digital future. 

We deliver progress. What you’ll do and how you will make an impact...

A major initiative for the team this year is the Data Capabilities project. You will lead the migration of our customer domain data into a dimensionally modelled Enterprise Data Warehouse, executing on the system design led by the Data Architect and the Data Governance manager. 

Your responsibilities will include:

Team Leadership:

• Manage and mentor a high-performing team, fostering a culture of technical excellence, psychological safety, and continuous delivery.

Platform Strategy:

• Define the Data Engineering team vision, balancing immediate business needs with a long-term shift towards a self-service data mesh architecture.

Infrastructure Ownership:

• Oversee the development of core data pipelines and platform tools, ensuring high performance for ingestion services.

Pipeline & Warehousing:

• Ensure the implementation of robust ETL/ELT pipelines and scalable models (Kimball/Data Vault), maintaining overall warehouse health.

Reliability & DevOps:

• Champion DevOps best practices, utilising Docker, Kubernetes, and CI/CD to ensure platform resilience.

Collaboration:

• Partner with Data Architects and Governance teams to embed security, compliance, and robust system design into the platform.