diff --git a/Jenkinsfile b/Jenkinsfile
index 1b2de93..74c9c74 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -35,6 +35,7 @@ pipeline {
             steps {
                 withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                   "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
+                    sh 'kaggle datasets download muhammadbinimran/housing-price-prediction-data --unzip'
                     sh 'chmod 777 ./data_processing.py'
                     sh "python3 ./data_processing.py ${params.CUTOFF}"
                 }
diff --git a/data_processing.py b/data_processing.py
index adb9b42..061d283 100644
--- a/data_processing.py
+++ b/data_processing.py
@@ -2,9 +2,7 @@ import sklearn
 from sklearn.preprocessing import OneHotEncoder
 from sklearn.model_selection import train_test_split
 import pandas as pd
-import subprocess
 
-subprocess.run(["kaggle", "datasets", "download", "muhammadbinimran/housing-price-prediction-data", "--unzip"])
 housing_price_dataset = pd.read_csv('housing_price_dataset.csv')
 
 hp_train_test, hp_dev = sklearn.model_selection.train_test_split(housing_price_dataset, test_size=0.1)