diff --git a/workflows/data_pipelines/finess/finess_processor.py b/workflows/data_pipelines/finess/finess_processor.py
index 77ffaf7f..40e46852 100644
--- a/workflows/data_pipelines/finess/finess_processor.py
+++ b/workflows/data_pipelines/finess/finess_processor.py
@@ -1,6 +1,5 @@
 import pandas as pd
 import logging
-import requests
 from dag_datalake_sirene.helpers import Notification, DataProcessor
 from dag_datalake_sirene.workflows.data_pipelines.finess.config import FINESS_CONFIG
 from airflow.operators.python import get_current_context
@@ -11,21 +10,18 @@ def __init__(self):
         super().__init__(FINESS_CONFIG)
 
     def preprocess_data(self):
-        r = requests.get(self.config.url)
-        with open(f"{self.config.tmp_folder}/finess-download.csv", "wb") as f:
-            for chunk in r.iter_content(1024):
-                f.write(chunk)
+        destination_path = f"{self.config.tmp_folder}/finess-download.csv"
+        self.download_data(destination_path)
 
         df_finess = pd.read_csv(
-            f"{self.config.tmp_folder}/finess-download.csv",
+            destination_path,
             dtype=str,
             sep=";",
             encoding="Latin-1",
             skiprows=1,
             header=None,
         )
-        df_finess = df_finess[[1, 18, 22]]
-        df_finess = df_finess.rename(
+        df_finess = df_finess[[1, 18, 22]].rename(
             columns={1: "finess", 18: "cat_etablissement", 22: "siret"}
         )
         df_finess = df_finess[df_finess["siret"].notna()]
@@ -38,15 +34,17 @@ def preprocess_data(self):
         df_list_finess["liste_finess"] = df_list_finess["liste_finess"].astype(str)
         df_list_finess.to_csv(f"{self.config.tmp_folder}/finess.csv", index=False)
 
-        unique_count = df_list_finess["siret"].nunique()
-        ti = get_current_context()["ti"]
-        ti.xcom_push(key="nb_siret_finess", value=str(unique_count))
-
-        logging.info(f"Processed {unique_count} unique SIRET values.")
+        self._push_unique_siret_count(df_list_finess)
 
         del df_finess
         del df_list_finess
 
+    def _push_unique_siret_count(self, df_finess):
+        unique_count = df_finess["siret"].nunique()
+        ti = get_current_context()["ti"]
+        ti.xcom_push(key="nb_siret_finess", value=str(unique_count))
+        logging.info(f"Processed {unique_count} unique SIRET values.")
+
     def send_file_to_minio(self):
         super().send_file_to_minio()
         ti = get_current_context()["ti"]