diff --git a/peakina/helpers.py b/peakina/helpers.py
index ae1d6c2f..67561fe1 100644
--- a/peakina/helpers.py
+++ b/peakina/helpers.py
@@ -26,6 +26,7 @@
     read_excel,
     read_geo_data,
     read_json,
+    read_parquet,
     read_xml,
 )
 
@@ -72,7 +73,7 @@ class TypeInfos(NamedTuple):
         read_json,
         ["filter"],  # this option comes from read_json, which @wraps(pd.read_json)
     ),
-    "parquet": TypeInfos(["peakina/parquet"], pd.read_parquet),
+    "parquet": TypeInfos(["peakina/parquet"], read_parquet),
     "xml": TypeInfos(["application/xml", "text/xml"], read_xml),
 }
 
diff --git a/peakina/readers/__init__.py b/peakina/readers/__init__.py
index 9fb2d04e..58873738 100644
--- a/peakina/readers/__init__.py
+++ b/peakina/readers/__init__.py
@@ -2,6 +2,7 @@
 from .excel import excel_meta, read_excel
 from .geodata import read_geo_data
 from .json import read_json
+from .parquet import read_parquet
 from .xml import read_xml
 
 __all__ = (
@@ -17,4 +18,6 @@
     "read_xml",
     # GEOJSON
     "read_geo_data",
+    # PARQUET
+    "read_parquet",
 )
diff --git a/peakina/readers/parquet.py b/peakina/readers/parquet.py
new file mode 100644
index 00000000..071ac85c
--- /dev/null
+++ b/peakina/readers/parquet.py
@@ -0,0 +1,36 @@
+"""
+Module to enhance pandas.read_json with JQ filter
+"""
+
+from typing import TYPE_CHECKING, Any
+
+import pandas as pd
+import pyarrow.dataset as ds
+
+if TYPE_CHECKING:
+    from os import PathLike
+
+    FilePathOrBuffer = str | bytes | PathLike[str] | PathLike[bytes]
+
+
+def read_parquet(
+    path_or_buf: "FilePathOrBuffer",
+    preview_offset: int = 0,
+    preview_nrows: int | None = None,
+    columns: list[int] | None = None,
+    **kwargs: Any,
+) -> pd.DataFrame:
+    dataset = ds.dataset(source=path_or_buf, format="parquet")
+    indices = None
+
+    if preview_nrows is not None:
+        indices = range(preview_offset, preview_offset + preview_nrows)
+    elif preview_offset > 0:
+        indices = range(preview_offset, dataset.count_rows())
+
+    if indices is not None:
+        table = dataset.take(indices=indices, columns=columns)
+    else:
+        table = dataset.to_table(columns=columns)
+
+    return table.to_pandas()
diff --git a/tests/fixtures/fixture.parquet b/tests/fixtures/fixture.parquet
new file mode 100644
index 00000000..d89bfb30
Binary files /dev/null and b/tests/fixtures/fixture.parquet differ
diff --git a/tests/readers/test_parquet.py b/tests/readers/test_parquet.py
new file mode 100644
index 00000000..d16ef86b
--- /dev/null
+++ b/tests/readers/test_parquet.py
@@ -0,0 +1,36 @@
+import pandas as pd
+
+from peakina import DataSource
+
+
+def test_simple_parquet_preview(path):
+    """It should be able to get a preview of a parquet file"""
+    ds = DataSource(path("fixture.parquet"), reader_kwargs={"columns": ["Date", "Country"]})
+    assert ds.get_df().shape == (4900, 2)
+
+    # preview with only `nrows`
+    ds = DataSource(
+        path("fixture.parquet"),
+        reader_kwargs={"preview_nrows": 2, "columns": ["Date", "Country"]},
+    )
+    assert ds.get_df().shape == (2, 2)
+    assert ds.get_df().equals(
+        pd.DataFrame({"Date": ["29/01/1900", "31/07/1900"], "Country": ["Australia", "Croatia"]})
+    )
+
+    # preview with `offset` and `nrows`
+    ds = DataSource(
+        path("fixture.parquet"),
+        reader_kwargs={"preview_nrows": 2, "preview_offset": 2, "columns": ["Date", "Country"]},
+    )
+    assert ds.get_df().shape == (2, 2)
+    assert ds.get_df().equals(
+        pd.DataFrame({"Date": ["21/08/1900", None], "Country": ["Usa", "Usa"]})
+    )
+
+    # preview with only `offset`
+    ds = DataSource(
+        path("fixture.parquet"),
+        reader_kwargs={"preview_offset": 2, "columns": ["Date", "Country"]},
+    )
+    assert ds.get_df().shape == (4898, 2)