Data Engineer - Power BI

Report development. Build and maintain Power BI reports and dashboards against certified semantic models accurate to the spec, performant, and consistent with published standards.

• Data engineering. Develop and extend gold-layer models in Fabric: SQL and Spark transformations, incremental loads, and Data Factory pipelines feeding the reporting layer.
• Modeling and DAX. Write DAX measures within the patterns the semantic layer defines. Tune slow reports and models rather than working around them.
• Testing and validation. Validate every deliverable against acceptance criteria before it goes back to the requester. Reconcile totals to source systems. Do not ship a number you have not tied out.
• Operational reporting. Support recurring finance-critical reporting, including payment reconciliation and the Supertype/Subtype product mapping rollout across regional reports.
• Standards and handoff. Keep source control, deployment pipelines, and documentation current so any teammate can pick up your work.