diff --git a/scripts/jobs/parking/parking_cedar_fulling_total_summary.py b/scripts/jobs/parking/parking_cedar_fulling_total_summary.py
index 022bda409..a2a26058b 100644
--- a/scripts/jobs/parking/parking_cedar_fulling_total_summary.py
+++ b/scripts/jobs/parking/parking_cedar_fulling_total_summary.py
@@ -9,6 +9,7 @@
 
 from scripts.helpers.helpers import create_pushdown_predicate, get_glue_env_var
 
+
 environment = get_glue_env_var("environment")
 
 
@@ -31,8 +32,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_cedar_payments",
     transformation_ctx="AmazonS3_node1625732038443",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node Amazon S3
diff --git a/scripts/jobs/parking/parking_ceo_average_on_street_hrs_mins_secs.py b/scripts/jobs/parking/parking_ceo_average_on_street_hrs_mins_secs.py
index 05315dfc5..ae7d06efc 100644
--- a/scripts/jobs/parking/parking_ceo_average_on_street_hrs_mins_secs.py
+++ b/scripts/jobs/parking/parking_ceo_average_on_street_hrs_mins_secs.py
@@ -9,6 +9,7 @@
 
 from scripts.helpers.helpers import create_pushdown_predicate, get_glue_env_var
 
+
 environment = get_glue_env_var("environment")
 
 
@@ -31,8 +32,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_ceo_on_street",
     transformation_ctx="AmazonS3_node1628173244776",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node Amazon S3
@@ -40,8 +40,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_ceo_summary",
     transformation_ctx="AmazonS3_node1638273151502",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node ApplyMapping
diff --git a/scripts/jobs/parking/parking_deployment_target_details.py b/scripts/jobs/parking/parking_deployment_target_details.py
index 57b2afeb3..2a78def29 100644
--- a/scripts/jobs/parking/parking_deployment_target_details.py
+++ b/scripts/jobs/parking/parking_deployment_target_details.py
@@ -9,6 +9,7 @@
 
 from scripts.helpers.helpers import create_pushdown_predicate, get_glue_env_var
 
+
 environment = get_glue_env_var("environment")
 
 
@@ -45,8 +46,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_ceo_on_street",
     transformation_ctx="AmazonS3_node1633593851886",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node Amazon S3
diff --git a/scripts/jobs/parking/parking_permit_street_stress.py b/scripts/jobs/parking/parking_permit_street_stress.py
index f6cab093a..336a182e1 100644
--- a/scripts/jobs/parking/parking_permit_street_stress.py
+++ b/scripts/jobs/parking/parking_permit_street_stress.py
@@ -53,8 +53,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_permit_denormalised_data",
     transformation_ctx="AmazonS3_node1681807784480",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node SQL
diff --git a/scripts/jobs/parking/parking_permit_street_stress_with_cpz.py b/scripts/jobs/parking/parking_permit_street_stress_with_cpz.py
index 30a0f28f6..04dc31326 100644
--- a/scripts/jobs/parking/parking_permit_street_stress_with_cpz.py
+++ b/scripts/jobs/parking/parking_permit_street_stress_with_cpz.py
@@ -53,8 +53,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_permit_denormalised_data",
     transformation_ctx="AmazonS3_node1681807784480",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node SQL
diff --git a/scripts/jobs/parking/parking_suspensions_processed.py b/scripts/jobs/parking/parking_suspensions_processed.py
index f702a687f..feedd8337 100644
--- a/scripts/jobs/parking/parking_suspensions_processed.py
+++ b/scripts/jobs/parking/parking_suspensions_processed.py
@@ -45,8 +45,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_suspension_denormalised_data",
     transformation_ctx="AmazonS3_node1661350417347",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node SQL
diff --git a/scripts/jobs/parking/parking_suspensions_processed_with_finyear.py b/scripts/jobs/parking/parking_suspensions_processed_with_finyear.py
index 4e74cd9d9..f8aa67192 100644
--- a/scripts/jobs/parking/parking_suspensions_processed_with_finyear.py
+++ b/scripts/jobs/parking/parking_suspensions_processed_with_finyear.py
@@ -45,8 +45,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
     database="dataplatform-" + environment + "-liberator-refined-zone",
     table_name="parking_suspension_denormalised_data",
     transformation_ctx="AmazonS3_node1661350417347",
-    # teporarily removed while table partitions are fixed
-    # push_down_predicate=create_pushdown_predicate("import_date", 7),
+    push_down_predicate=create_pushdown_predicate("import_date", 7),
 )
 
 # Script generated for node Amazon S3