- Lead, mentor, and develop a team of data engineers, fostering a culture of ownership, quality, and collaboration
- Contribute hands-on to the design and build of data pipelines, integrations, and platform components
- Own and evolve the Databricks-based data lakehouse (Delta Lake, Unity Catalog), including architecture, performance, and lifecycle management
- Define and enforce engineering standards across ingestion, transformation (dbt), naming conventions, access controls, and environment management
- Design scalable ingestion patterns (e.g., Fivetran) to support multiple source systems, including M&A-driven complexity
- Ensure reliable, well-documented ingestion with full history preservation and monitoring
- Partner with Data & Analytics on data contracts and modelling to ensure data is fit for downstream use cases
- Embed data quality, lineage, and governance into engineering workflows
- Drive engineering best practices across code quality, testing, CI/CD, documentation, and observability
- Own and optimise the transformation layer (dbt), including structure, testing, and performance
- Support operational excellence, including incident response and SLA adherence
- Partner with leadership on hiring, team growth, and capacity planning
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