diff --git a/sdks/python/apache_beam/io/gcp/bigquery.py b/sdks/python/apache_beam/io/gcp/bigquery.py
index 3fedefcbc6b0..d12dd276a1aa 100644
--- a/sdks/python/apache_beam/io/gcp/bigquery.py
+++ b/sdks/python/apache_beam/io/gcp/bigquery.py
@@ -709,7 +709,7 @@ def display_data(self):
     }
 
   def estimate_size(self):
-    bq = bigquery_tools.BigQueryWrapper()
+    bq = bigquery_tools.BigQueryWrapper.from_pipeline_options(self.options)
     if self.table_reference is not None:
       table_ref = self.table_reference
       if (isinstance(self.table_reference, vp.ValueProvider) and
diff --git a/sdks/python/apache_beam/io/gcp/bigquery_tools.py b/sdks/python/apache_beam/io/gcp/bigquery_tools.py
index 552c22f1f770..312e3f70c2b0 100644
--- a/sdks/python/apache_beam/io/gcp/bigquery_tools.py
+++ b/sdks/python/apache_beam/io/gcp/bigquery_tools.py
@@ -349,13 +349,7 @@ class BigQueryWrapper(object):
   HISTOGRAM_METRIC_LOGGER = MetricLogger()
 
   def __init__(self, client=None, temp_dataset_id=None, temp_table_ref=None):
-    self.client = client or bigquery.BigqueryV2(
-        http=get_new_http(),
-        credentials=auth.get_service_credentials(PipelineOptions()),
-        response_encoding='utf8',
-        additional_http_headers={
-            "user-agent": "apache-beam-%s" % apache_beam.__version__
-        })
+    self.client = client or BigQueryWrapper._bigquery_client(PipelineOptions())
     self.gcp_bq_client = client or gcp_bigquery.Client(
         client_info=ClientInfo(
             user_agent="apache-beam-%s" % apache_beam.__version__))
@@ -1350,6 +1344,21 @@ def convert_row_to_dict(self, row, schema):
         result[field.name] = self._convert_cell_value_to_dict(value, field)
     return result
 
+  @staticmethod
+  def from_pipeline_options(pipeline_options: PipelineOptions):
+    return BigQueryWrapper(
+        client=BigQueryWrapper._bigquery_client(pipeline_options))
+
+  @staticmethod
+  def _bigquery_client(pipeline_options: PipelineOptions):
+    return bigquery.BigqueryV2(
+        http=get_new_http(),
+        credentials=auth.get_service_credentials(pipeline_options),
+        response_encoding='utf8',
+        additional_http_headers={
+            "user-agent": "apache-beam-%s" % apache_beam.__version__
+        })
+
 
 class RowAsDictJsonCoder(coders.Coder):
   """A coder for a table row (represented as a dict) to/from a JSON string.