diff --git a/pyiceberg/transforms.py b/pyiceberg/transforms.py
index 38cc6221a2..923140bc80 100644
--- a/pyiceberg/transforms.py
+++ b/pyiceberg/transforms.py
@@ -491,7 +491,7 @@ class DayTransform(TimeTransform[S]):
     """Transforms a datetime value into a day value.
 
     Example:
-        >>> transform = MonthTransform()
+        >>> transform = DayTransform()
         >>> transform.transform(DateType())(17501)
         17501
     """
@@ -517,9 +517,6 @@ def day_func(v: Any) -> int:
     def can_transform(self, source: IcebergType) -> bool:
         return isinstance(source, (DateType, TimestampType, TimestamptzType))
 
-    def result_type(self, source: IcebergType) -> IcebergType:
-        return DateType()
-
     @property
     def granularity(self) -> TimeResolution:
         return TimeResolution.DAY
diff --git a/tests/integration/test_inspect_table.py b/tests/integration/test_inspect_table.py
index 68b10f3262..6e7c7801e3 100644
--- a/tests/integration/test_inspect_table.py
+++ b/tests/integration/test_inspect_table.py
@@ -282,7 +282,7 @@ def test_inspect_entries_partitioned(spark: SparkSession, session_catalog: Catal
 
     df = session_catalog.load_table(identifier).inspect.entries()
 
-    assert df.to_pydict()["data_file"][0]["partition"] == {"dt_day": date(2021, 2, 1), "dt_month": None}
+    assert df.to_pydict()["data_file"][0]["partition"] == {"dt_day": 18659, "dt_month": None}
     assert df.to_pydict()["data_file"][1]["partition"] == {"dt_day": None, "dt_month": 612}
 
 
@@ -452,7 +452,9 @@ def test_inspect_partitions_partitioned(spark: SparkSession, session_catalog: Ca
 
     def check_pyiceberg_df_equals_spark_df(df: pa.Table, spark_df: DataFrame) -> None:
         lhs = df.to_pandas().sort_values("spec_id")
-        rhs = spark_df.toPandas().sort_values("spec_id")
+        # Spark does not store day partition values in the right type so we need to convert them
+        spark_df_arrow = pa.Table.from_pandas(spark_df.toPandas(), schema=df.schema)
+        rhs = spark_df_arrow.to_pandas().sort_values("spec_id")
         for column in df.column_names:
             for left, right in zip(lhs[column].to_list(), rhs[column].to_list()):
                 assert left == right, f"Difference in column {column}: {left} != {right}"
diff --git a/tests/integration/test_writes/test_partitioned_writes.py b/tests/integration/test_writes/test_partitioned_writes.py
index b199f00210..1a1ab23645 100644
--- a/tests/integration/test_writes/test_partitioned_writes.py
+++ b/tests/integration/test_writes/test_partitioned_writes.py
@@ -450,9 +450,7 @@ def test_append_ymd_transform_partitioned(
     [
         pytest.param(YearTransform(), {53, 54, None}, id="year_transform"),
         pytest.param(MonthTransform(), {647, 648, 649, None}, id="month_transform"),
-        pytest.param(
-            DayTransform(), {date(2023, 12, 31), date(2024, 1, 1), date(2024, 1, 31), date(2024, 2, 1), None}, id="day_transform"
-        ),
+        pytest.param(DayTransform(), {19722, 19723, 19753, 19754, None}, id="day_transform"),
         pytest.param(HourTransform(), {473328, 473352, 474072, 474096, 474102, None}, id="hour_transform"),
     ],
 )
diff --git a/tests/test_transforms.py b/tests/test_transforms.py
index 3a9ffd6009..ceaae429cd 100644
--- a/tests/test_transforms.py
+++ b/tests/test_transforms.py
@@ -280,7 +280,7 @@ def test_time_methods(type_var: PrimitiveType) -> None:
     assert DayTransform().preserves_order
     assert YearTransform().result_type(type_var) == IntegerType()
     assert MonthTransform().result_type(type_var) == IntegerType()
-    assert DayTransform().result_type(type_var) == DateType()
+    assert DayTransform().result_type(type_var) == IntegerType()
     assert YearTransform().dedup_name == "time"
     assert MonthTransform().dedup_name == "time"
     assert DayTransform().dedup_name == "time"