Data Engineer

• Run hypothesis-led analysis over large datasets to uncover trends, drivers of outcomes, and craft client-ready narratives.
• Build and maintain industry benchmark datasets that power reports/dashboards; keep definitions and versioning tight.
• Deliver clear, actionable Power BI reports for clients and internal stakeholders; maintain selected stand-alone reports in 3rd-party tools where required.
• Own performance dashboards, operational processes, model version control/registry, and experiment tracking.
• Monitor drift and bias, plan/validate improvements, and manage safe deploy/rollback.
• Keep the feature store fresh from published calls; ensure training data lineage and reproducibility.
• Partner on productised evaluations (automated tests, acceptance thresholds) and bias mitigation aligned to policy.
• Specify, design, and implement dashboards & reports within the KAI solution; integrate with portal and API surfaces.
• Collaborate with platform/DB teams on robust data integration & storage patterns across PostgreSQL/NoSQL and data lake assets.
• Support Copilot auto-report creation where suitable, ensuring source-of-truth metrics and governance.
• Run client-specific studies to test hypotheses and meet project goals; present findings to non-technical audiences.

ML Data Engineer

Staff Data Engineer

Data Engineer

Staff Engineer, Dataops Engineer

Principal Data Engineer

Data Engineer