diff --git a/dataframely/collection.py b/dataframely/collection.py
index 4b6b8c3..c1e3e6e 100644
--- a/dataframely/collection.py
+++ b/dataframely/collection.py
@@ -736,9 +736,8 @@ def write_parquet(self, directory: str | Path, **kwargs: Any) -> None:
         members which are not provided in the current collection.
 
         Args:
-            directory: The directory where the Parquet files should be written to. If
-                the directory does not exist, it is created automatically, including all
-                of its parents.
+            directory: The directory where the Parquet files should be written to.
+                The `mkdir` kwarg controls whether the directory is created if needed.
             kwargs: Additional keyword arguments passed directly to
                 :meth:`polars.write_parquet` of all members. ``metadata`` may only be
                 provided if it is a dictionary.
diff --git a/dataframely/failure.py b/dataframely/failure.py
index 79c5636..e7d2601 100644
--- a/dataframely/failure.py
+++ b/dataframely/failure.py
@@ -91,7 +91,8 @@ def write_parquet(self, file: str | Path | IO[bytes], **kwargs: Any) -> None:
         Args:
             file: The file path or writable file-like object to which to write the
                 parquet file. This should be a path to a directory if writing a
-                partitioned dataset.
+                partitioned dataset. The `mkdir` kwarg controls whether the directory
+                is created if needed.
             kwargs: Additional keyword arguments passed directly to
                 :meth:`polars.write_parquet`. ``metadata`` may only be provided if it
                 is a dictionary.
diff --git a/dataframely/schema.py b/dataframely/schema.py
index 5c7eb09..610dbb2 100644
--- a/dataframely/schema.py
+++ b/dataframely/schema.py
@@ -695,7 +695,8 @@ def write_parquet(
             df: The data frame to write to the parquet file.
             file: The file path or writable file-like object to which to write the
                 parquet file. This should be a path to a directory if writing a
-                partitioned dataset.
+                partitioned dataset. The `mkdir` kwarg controls whether the directory
+                is created if needed.
             kwargs: Additional keyword arguments passed directly to
                 :meth:`polars.write_parquet`. ``metadata`` may only be provided if it
                 is a dictionary.
diff --git a/pixi.lock b/pixi.lock
index b39bfc4..d900316 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -73,8 +73,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.45-hc749103_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-1.32.3-default_h3512890_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-default-1.32.3-py39hf521cc8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-1.33.1-default_h755bcc6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-default-1.33.1-py39hf521cc8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject_hooks-1.2.0-pyhd8ed1ab_1.conda
@@ -176,8 +176,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pcre2-10.45-hf4ec17f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-1.32.3-default_h9075984_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.32.3-py39h282a9d9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-1.33.1-default_h854a362_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.33.1-py39h282a9d9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject_hooks-1.2.0-pyhd8ed1ab_1.conda
@@ -265,8 +265,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-1.32.3-default_h11ec952_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.32.3-py39hbd2d40b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-1.33.1-default_h8f3f44c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.33.1-py39hbd2d40b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject_hooks-1.2.0-pyhd8ed1ab_1.conda
@@ -353,8 +353,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-1.32.3-default_h1fdcfb2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.32.3-py39h31c57e4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-1.33.1-default_h107b989_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.33.1-py39h31c57e4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject_hooks-1.2.0-pyhd8ed1ab_1.conda
@@ -438,8 +438,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-1.32.3-default_h34cc8bc_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.32.3-py39he906d20_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-1.33.1-default_hd0420bf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.33.1-py39he906d20_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyproject_hooks-1.2.0-pyhd8ed1ab_1.conda
@@ -665,8 +665,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh8b19718_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-1.32.3-default_h3512890_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-default-1.32.3-py39hf521cc8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-1.33.1-default_h755bcc6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-default-1.33.1-py39hf521cc8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.3.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-hooks-5.0.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/prettier-3.6.2-h4c22ac6_1.conda
@@ -942,8 +942,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-1.32.3-default_h9075984_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.32.3-py39h282a9d9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-1.33.1-default_h854a362_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.33.1-py39h282a9d9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.3.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-hooks-5.0.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/prettier-3.6.2-h70496c1_1.conda
@@ -1206,8 +1206,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh8b19718_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-1.32.3-default_h11ec952_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.32.3-py39hbd2d40b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-1.33.1-default_h8f3f44c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.33.1-py39hbd2d40b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.3.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-hooks-5.0.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/prettier-3.6.2-h07b0e94_1.conda
@@ -1472,8 +1472,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-1.32.3-default_h1fdcfb2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.32.3-py39h31c57e4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-1.33.1-default_h107b989_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.33.1-py39h31c57e4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.3.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-hooks-5.0.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/prettier-3.6.2-h9907cc9_1.conda
@@ -1721,8 +1721,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-1.32.3-default_h34cc8bc_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.32.3-py39he906d20_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-1.33.1-default_hd0420bf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.33.1-py39he906d20_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.3.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-hooks-5.0.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/prettier-3.6.2-hc21fffc_1.conda
@@ -1921,8 +1921,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh8b19718_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-1.32.3-default_h3512890_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-default-1.32.3-py39hf521cc8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-1.33.1-default_h755bcc6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-default-1.33.1-py39hf521cc8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.52-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-7.0.0-py312h4c3975b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd8ed1ab_1.conda
@@ -2075,8 +2075,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.2-pyh145f28c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.4.0-pyhcf101f3_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-1.32.3-default_h9075984_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.32.3-py39h282a9d9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-1.33.1-default_h854a362_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.33.1-py39h282a9d9_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd8ed1ab_1.conda
@@ -2215,8 +2215,8 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.32.3-py39hbd2d40b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-1.33.1-default_h8f3f44c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.33.1-py39hbd2d40b_0.conda
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@@ -2357,8 +2357,8 @@ environments:
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+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-1.33.1-default_h107b989_0.conda
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@@ -2498,8 +2498,8 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.32.3-py39he906d20_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/polars-1.33.1-default_hd0420bf_0.conda
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   size: 30170534
   timestamp: 1756889844069
-- conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.32.3-py39hbd2d40b_0.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.33.1-py39h282a9d9_0.conda
   noarch: python
-  sha256: 485e5cc7dba024246acf7980f2d2ede141d9c0eae1bdbea6661d3a4afe79b589
-  md5: 04b8f13b22662c8eee173dbdc1b0ee93
+  sha256: 8661db7753f2658da702de4044925562130bd53140936ccb23f7d155a5540917
+  md5: 504c102377b6921f8d7d348f683b1744
   depends:
   - python
-  - libcxx >=19
-  - __osx >=10.13
+  - libstdcxx >=14
+  - libgcc >=14
   - _python_abi3_support 1.*
   - cpython >=3.9
   constrains:
@@ -15805,11 +15776,11 @@ packages:
   - great_tables >=0.8.0
   - polars-lts-cpu <0.0.0a0
   - polars-u64-idx <0.0.0a0
-  - __osx >=10.13
+  - __glibc >=2.17
   license: MIT
   license_family: MIT
-  size: 31271905
-  timestamp: 1755249429824
+  size: 30497667
+  timestamp: 1757413863220
 - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.33.0-py39hbd2d40b_0.conda
   noarch: python
   sha256: 2a61e60008323aa89400b87707b49faffb04e8e2aa037d39ce2fc6f57c45e5ce
@@ -15837,14 +15808,14 @@ packages:
   license: MIT
   size: 31699457
   timestamp: 1756889546552
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.32.3-py39h31c57e4_0.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.33.1-py39hbd2d40b_0.conda
   noarch: python
-  sha256: f23407933a5963152a6dfad92d1cfa64bfee3da0e6615c336406bee9dcde8590
-  md5: 116b76f3acb6c51d67faaa98cd5c836f
+  sha256: 2c563963f7767dd7d396a2214d2e17e610132c5fb63b21cc1b0279f252460da3
+  md5: 6cb909dad5147fc3551d3c6c3820e7da
   depends:
   - python
+  - __osx >=10.13
   - libcxx >=19
-  - __osx >=11.0
   - _python_abi3_support 1.*
   - cpython >=3.9
   constrains:
@@ -15860,11 +15831,11 @@ packages:
   - great_tables >=0.8.0
   - polars-lts-cpu <0.0.0a0
   - polars-u64-idx <0.0.0a0
-  - __osx >=11.0
+  - __osx >=10.13
   license: MIT
   license_family: MIT
-  size: 28645955
-  timestamp: 1755249452779
+  size: 31963506
+  timestamp: 1757413397269
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.33.0-py39h31c57e4_0.conda
   noarch: python
   sha256: bdf24a222d7780e5684059e8a738be3306651ba1113ba2d4774a99e602c1c7ef
@@ -15892,18 +15863,14 @@ packages:
   license: MIT
   size: 28990144
   timestamp: 1756889536567
-- conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.32.3-py39he906d20_0.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.33.1-py39h31c57e4_0.conda
   noarch: python
-  sha256: 9a4ac2e61372ca67ec18da8c89099a31000c01d370f4705b6286d2453433c18a
-  md5: bf195d17271a18cada7adacdd6f9b24c
+  sha256: 65a0122d2ed894a9f94dcd96bd9de740ceffbf1b34341e8d6e1b1be0aa207a3a
+  md5: 0bac077a11de4673eeb6aa609ab7bd69
   depends:
   - python
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
+  - __osx >=11.0
+  - libcxx >=19
   - _python_abi3_support 1.*
   - cpython >=3.9
   constrains:
@@ -15919,10 +15886,11 @@ packages:
   - great_tables >=0.8.0
   - polars-lts-cpu <0.0.0a0
   - polars-u64-idx <0.0.0a0
+  - __osx >=11.0
   license: MIT
   license_family: MIT
-  size: 34174098
-  timestamp: 1755249441592
+  size: 29418459
+  timestamp: 1757413441375
 - conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.33.0-py39he906d20_0.conda
   noarch: python
   sha256: e77f0165b5fa69a012b77cbd2c79e1e0d67defcb8d839399185bacef03bf29cf
@@ -15953,6 +15921,37 @@ packages:
   license: MIT
   size: 34658700
   timestamp: 1756889554861
+- conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.33.1-py39he906d20_0.conda
+  noarch: python
+  sha256: f30d7e72d445014d63ec907900331b20ddab87c729996dd2c39be1ae2a53854d
+  md5: 5ae3ef1e9e0afb6c5a86100d05890970
+  depends:
+  - python
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - _python_abi3_support 1.*
+  - cpython >=3.9
+  constrains:
+  - numpy >=1.16.0
+  - pyarrow >=7.0.0
+  - fastexcel >=0.9
+  - openpyxl >=3.0.0
+  - xlsx2csv >=0.8.0
+  - connectorx >=0.3.2
+  - deltalake >=1.0.0
+  - pyiceberg >=0.7.1
+  - altair >=5.4.0
+  - great_tables >=0.8.0
+  - polars-lts-cpu <0.0.0a0
+  - polars-u64-idx <0.0.0a0
+  license: MIT
+  license_family: MIT
+  size: 35019348
+  timestamp: 1757413424802
 - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.3.0-pyha770c72_0.conda
   sha256: 66b6d429ab2201abaa7282af06b17f7631dcaafbc5aff112922b48544514b80a
   md5: bc6c44af2a9e6067dd7e949ef10cdfba
diff --git a/pixi.toml b/pixi.toml
index df8d866..8b31cc5 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -12,7 +12,7 @@ python = ">=3.10"
 rust = "=1.85"
 
 numpy = "*"
-polars = ">=1.32"
+polars = ">=1.33"
 pytest-mock = ">=3.14.1,<4"
 
 [host-dependencies]
diff --git a/tests/collection/test_storage.py b/tests/collection/test_storage.py
index 79a4f48..e8ec1e1 100644
--- a/tests/collection/test_storage.py
+++ b/tests/collection/test_storage.py
@@ -397,6 +397,28 @@ def test_read_invalid_parquet_metadata_collection(
     assert collection is None
 
 
+def test_write_nonexistent_directory(tmp_path: Path) -> None:
+    # Arrange
+    collection = MyCollection.validate(
+        {
+            "first": pl.LazyFrame({"a": [1, 2, 3]}),
+            "second": pl.LazyFrame({"a": [1, 2], "b": [10, 15]}),
+        },
+        cast=True,
+    )
+
+    # Act
+    path = tmp_path / "non_existent_dir"
+    collection.write_parquet(path, mkdir=True)
+
+    # Assert
+    out = MyCollection.read_parquet(path)
+    assert_frame_equal(collection.first, out.first)
+    assert collection.second is not None
+    assert out.second is not None
+    assert_frame_equal(collection.second, out.second)
+
+
 # ---------------------------- DELTA LAKE SPECIFICS ---------------------------------- #
 
 
diff --git a/tests/failure_info/test_storage.py b/tests/failure_info/test_storage.py
index 7b9dc23..9dfa679 100644
--- a/tests/failure_info/test_storage.py
+++ b/tests/failure_info/test_storage.py
@@ -112,7 +112,12 @@ def test_invalid_schema_deserialization(
 
 
 # ------------------------------------ Parquet -----------------------------------------
-def test_write_parquet_custom_metadata(tmp_path: Path) -> None:
+
+
+@pytest.mark.parametrize("check_non_existent_directory", [True, False])
+def test_write_parquet_custom_metadata(
+    tmp_path: Path, check_non_existent_directory: bool
+) -> None:
     # Arrange
     df = pl.DataFrame(
         {
@@ -124,8 +129,12 @@ def test_write_parquet_custom_metadata(tmp_path: Path) -> None:
     assert failure._df.height == 4
 
     # Act
-    p = tmp_path / "failure.parquet"
-    failure.write_parquet(p, metadata={"custom": "test"})
+    if check_non_existent_directory:
+        p = tmp_path / "non_existent" / "failure.parquet"
+        failure.write_parquet(p, metadata={"custom": "test"}, mkdir=True)
+    else:
+        p = tmp_path / "failure.parquet"
+        failure.write_parquet(p, metadata={"custom": "test"})
 
     # Assert
     assert pl.read_parquet_metadata(p)["custom"] == "test"
diff --git a/tests/schema/test_read_write_parquet.py b/tests/schema/test_read_write_parquet.py
index 87317b7..695a0cf 100644
--- a/tests/schema/test_read_write_parquet.py
+++ b/tests/schema/test_read_write_parquet.py
@@ -25,3 +25,19 @@ def test_read_invalid_parquet_metadata_schema(
 
     # Assert
     assert schema is None
+
+
+class MySchema(dy.Schema):
+    a = dy.Int64()
+
+
+def test_write_parquet_non_existing_directory(tmp_path: Path) -> None:
+    # Arrange
+    df = MySchema.create_empty()
+    file = tmp_path / "non_existing_dir" / "df.parquet"
+
+    # Act
+    MySchema.write_parquet(df, file=file, mkdir=True)
+
+    # Assert
+    assert file.exists()