diff --git a/pipeline/plugins/extractors/tap-uk-ees/tap_uk_ees/tap.py b/pipeline/plugins/extractors/tap-uk-ees/tap_uk_ees/tap.py
index 7e71b97..2097d17 100644
--- a/pipeline/plugins/extractors/tap-uk-ees/tap_uk_ees/tap.py
+++ b/pipeline/plugins/extractors/tap-uk-ees/tap_uk_ees/tap.py
@@ -129,12 +129,18 @@ class EESDatasetStream(Stream):
                 cols[0] = cols[0].lstrip("\ufeff").lstrip("")
                 df.columns = cols
 
+            # Normalise URN column name — older files use 'URN' instead of 'urn'
+            urn_col = self._urn_column
+            col_lower = {c.lower(): c for c in df.columns}
+            actual_urn = col_lower.get(urn_col.lower())
+            if actual_urn and actual_urn != urn_col:
+                df.rename(columns={actual_urn: urn_col}, inplace=True)
+
             # Filter to school-level data if the column exists
             if "geographic_level" in df.columns:
                 df = df[df["geographic_level"] == "School"]
 
             # Drop rows with no URN (LA/category aggregates that slip through the level filter)
-            urn_col = self._urn_column
             if urn_col in df.columns:
                 df = df[df[urn_col].notna() & (df[urn_col] != "")]