Data Engineer- UK

CoreView, Remote - UK +1

What you will do

Take operational ownership of the usage and adoption pipelines and their alerting
Reconcile figures derived from our product-usage tool
Separate development and production environments and mature CI/CD so deployment is repeatable and rollback is reliable.
Build and maintain Bronze-to-Gold pipelines in Databricks, Unity Catalog metric views, and the permissions/row-level-security model behind them.
Extend automated data quality checks across the underlying gold-layer tables and validate outputs against existing Power BI reports.
Co-own the scoping of the next set of usage and adoption signals with Product and Post-Sales: prioritising upsell signals and the ROI narrative and confirming what needs new instrumentation.
Handle the realities of business system data: schema drift, inconsistent field naming, soft deletes, incremental loads
Lead and be responsible for the consolidation of additional data sources — including support tickets, audit logs, CRM, and other customer-facing systems — while defining the feasibility, effort, cost, and implementation approach required to support a future unified data platform.

CoreView, Remote - UK +1

Take operational ownership of the usage and adoption pipelines and their alerting
Reconcile figures derived from our product-usage tool
Separate development and production environments and mature CI/CD so deployment is repeatable and rollback is reliable.
Build and maintain Bronze-to-Gold pipelines in Databricks, Unity Catalog metric views, and the permissions/row-level-security model behind them.
Extend automated data quality checks across the underlying gold-layer tables and validate outputs against existing Power BI reports.
Co-own the scoping of the next set of usage and adoption signals with Product and Post-Sales: prioritising upsell signals and the ROI narrative and confirming what needs new instrumentation.
Handle the realities of business system data: schema drift, inconsistent field naming, soft deletes, incremental loads
Lead and be responsible for the consolidation of additional data sources — including support tickets, audit logs, CRM, and other customer-facing systems — while defining the feasibility, effort, cost, and implementation approach required to support a future unified data platform.