diff --git a/crates/iceberg/src/arrow/reader.rs b/crates/iceberg/src/arrow/reader.rs
index b4e15821f..fd266f2fa 100644
--- a/crates/iceberg/src/arrow/reader.rs
+++ b/crates/iceberg/src/arrow/reader.rs
@@ -48,7 +48,7 @@ use crate::expr::visitors::row_group_metrics_evaluator::RowGroupMetricsEvaluator
 use crate::expr::{BoundPredicate, BoundReference};
 use crate::io::{FileIO, FileMetadata, FileRead};
 use crate::scan::{ArrowRecordBatchStream, FileScanTask, FileScanTaskStream};
-use crate::spec::{Datum, PrimitiveType, Schema};
+use crate::spec::{DataContentType, Datum, PrimitiveType, Schema};
 use crate::utils::available_parallelism;
 use crate::{Error, ErrorKind};
 
@@ -189,12 +189,6 @@ impl ArrowReader {
         )?;
         record_batch_stream_builder = record_batch_stream_builder.with_projection(projection_mask);
 
-        // RecordBatchTransformer performs any required transformations on the RecordBatches
-        // that come back from the file, such as type promotion, default column insertion
-        // and column re-ordering
-        let mut record_batch_transformer =
-            RecordBatchTransformer::build(task.schema_ref(), task.project_field_ids());
-
         if let Some(batch_size) = batch_size {
             record_batch_stream_builder = record_batch_stream_builder.with_batch_size(batch_size);
         }
@@ -246,13 +240,27 @@ impl ArrowReader {
 
         // Build the batch stream and send all the RecordBatches that it generates
         // to the requester.
+        let record_batch_stream = record_batch_stream_builder.build()?;
+
         let record_batch_stream =
-            record_batch_stream_builder
-                .build()?
-                .map(move |batch| match batch {
+            if matches!(task.data_file_content, DataContentType::PositionDeletes) {
+                // The schema of the xxx file doesn't change, so we don't need to convert the schema.
+                record_batch_stream.map(move |batch| match batch {
+                    Ok(batch) => record_batch_transformer.process_record_batch(batch),
+                    Err(err) => Err(err.into()),
+                })
+            } else {
+                // RecordBatchTransformer performs any required transformations on the RecordBatches
+                // that come back from the file, such as type promotion, default column insertion
+                // and column re-ordering.
+                let mut record_batch_transformer =
+                    RecordBatchTransformer::build(task.schema_ref(), task.project_field_ids());
+
+                record_batch_stream.map(move |batch| match batch {
                     Ok(batch) => record_batch_transformer.process_record_batch(batch),
                     Err(err) => Err(err.into()),
-                });
+                })
+            };
 
         Ok(Box::pin(record_batch_stream) as ArrowRecordBatchStream)
     }