diff --git a/kedro-datasets/tests/spark/test_spark_gbq_dataset.py b/kedro-datasets/tests/spark/test_spark_gbq_dataset.py
new file mode 100644
index 000000000..25fc9b093
--- /dev/null
+++ b/kedro-datasets/tests/spark/test_spark_gbq_dataset.py
@@ -0,0 +1,137 @@
+import pytest
+from pyspark.sql import SparkSession
+from kedro_datasets.spark.spark_gbq_dataset import GBQQueryDataset
+import json
+import base64
+from kedro.io import DatasetError
+import re
+
+
+SQL_QUERY = "SELECT * FROM table"
+MATERIALIZATION_DATASET = "dataset"
+MATERIALIZATION_PROJECT = "project"
+LOAD_ARGS = {"key": "value"}
+REQUIRED_INIT_ARGS = {
+    "sql": SQL_QUERY,
+    "materialization_dataset": MATERIALIZATION_DATASET,
+}
+DUMMMY_SAVE_DATA = "dummy_save_data"
+
+
+@pytest.fixture
+def spark_session(mocker):
+    return mocker.MagicMock(spec=SparkSession)
+
+
+@pytest.fixture
+def gbq_query_dataset():
+    return GBQQueryDataset(
+        sql=SQL_QUERY,
+        materialization_dataset=MATERIALIZATION_DATASET,
+        materialization_project=MATERIALIZATION_PROJECT,
+        credentials=None,
+        load_args=LOAD_ARGS,
+    )
+
+
+def test_save_not_implemented(gbq_query_dataset):
+    with pytest.raises(
+        DatasetError,
+        match=r"'save' is not supported on GBQQueryDataset",
+    ):
+        gbq_query_dataset.save(DUMMMY_SAVE_DATA)
+
+
+@pytest.mark.parametrize(
+    "credentials, expected_credentials",
+    [
+        ({"base64": "base64_creds"}, {"credentials": "base64_creds"}),
+        ({"file": "/path/to/creds.json"}, {"credentialsFile": "/path/to/creds.json"}),
+        (
+            {"json": {"type": "service_account"}},
+            {
+                "credentials": base64.b64encode(
+                    json.dumps({"type": "service_account"}).encode("utf-8")
+                ).decode("utf-8")
+            },
+        ),
+        ({}, {}),
+    ],
+)
+def test_get_spark_credentials(gbq_query_dataset, credentials, expected_credentials):
+    gbq_query_dataset._credentials = credentials
+    assert gbq_query_dataset._get_spark_credentials() == expected_credentials
+
+
+def test_invalid_credentials_key(gbq_query_dataset):
+
+    invalid_cred_key = "invalid_cred_key"
+    gbq_query_dataset._credentials = {invalid_cred_key: "value"}
+    with pytest.raises(
+        ValueError,
+        match=f"Please provide one of 'base64', 'file' or 'json' key in the credentials. You provided: {invalid_cred_key}",
+    ):
+        gbq_query_dataset._get_spark_credentials()
+
+
+@pytest.mark.parametrize(
+    "credentials",
+    [
+        {"base64": "base64_creds", "file": "/path/to/creds.json"},
+        {"base64": "base64_creds", "json": {"type": "service_account"}},
+        {"file": "/path/to/creds.json", "json": {"type": "service_account"}},
+        {
+            "base64": "base64_creds",
+            "file": "/path/to/creds.json",
+            "json": {"type": "service_account"},
+        },
+        {"base64": "base64_creds", "invalid_key": "value"},
+    ],
+)
+def test_more_than_one_credentials_key(gbq_query_dataset, credentials):
+    gbq_query_dataset._credentials = credentials
+    pattern = re.escape(
+        f"Please provide only one of 'base64', 'file' or 'json' key in the credentials. You provided: {list(credentials.keys())}"
+    )
+    with pytest.raises(
+        ValueError,
+        match=pattern,
+    ):
+        gbq_query_dataset._get_spark_credentials()
+
+
+@pytest.mark.parametrize(
+    "init_args, expected_load_args",
+    [
+        (
+            REQUIRED_INIT_ARGS,
+            {
+                "query": REQUIRED_INIT_ARGS["sql"],
+                "materializationDataset": REQUIRED_INIT_ARGS["materialization_dataset"],
+                "viewsEnabled": "true",
+            },
+        ),
+        (
+            {**REQUIRED_INIT_ARGS, "materialization_project": MATERIALIZATION_PROJECT},
+            {
+                "query": REQUIRED_INIT_ARGS["sql"],
+                "materializationDataset": REQUIRED_INIT_ARGS["materialization_dataset"],
+                "materializationProject": MATERIALIZATION_PROJECT,
+                "viewsEnabled": "true",
+            },
+        ),
+    ],
+)
+def test_load(mocker, spark_session, init_args, expected_load_args):
+    gbq_query_dataset = GBQQueryDataset(**init_args)
+    mocker.patch(
+        "kedro_datasets.spark.spark_gbq_dataset.get_spark", return_value=spark_session
+    )
+    read_obj = mocker.MagicMock()
+    spark_session.read.format.return_value = read_obj
+    read_obj.load.return_value = mocker.MagicMock()
+
+    gbq_query_dataset.load()
+
+    spark_session.read.format.assert_called_once_with("bigquery")
+    read_obj.load.assert_called_once_with(**expected_load_args)