diff --git a/spark-jobs/src/main/scala/za/co/absa/enceladus/common/CommonJobExecution.scala b/spark-jobs/src/main/scala/za/co/absa/enceladus/common/CommonJobExecution.scala
index 61dc9ccd0..89f34c937 100644
--- a/spark-jobs/src/main/scala/za/co/absa/enceladus/common/CommonJobExecution.scala
+++ b/spark-jobs/src/main/scala/za/co/absa/enceladus/common/CommonJobExecution.scala
@@ -327,12 +327,12 @@ trait CommonJobExecution extends ProjectMetadata {
 
   protected def addInfoColumns(intoDf: DataFrame, reportDate: String, reportVersion: Int): DataFrame = {
     import za.co.absa.spark.commons.implicits.DataFrameImplicits.DataFrameEnhancements
-    val function: (DataFrame, String) => DataFrame = (df: DataFrame, _) =>
+    val ifExistsFunc: (DataFrame, String) => DataFrame = (df: DataFrame, _) =>
       df.withColumn("errCol", lit(Array.emptyIntArray))
     intoDf
-      .withColumnIfDoesNotExist(function)(InfoDateColumn, to_date(lit(reportDate), ReportDateFormat))
-      .withColumnIfDoesNotExist(function)(InfoDateColumnString, lit(reportDate))
-      .withColumnIfDoesNotExist(function)(InfoVersionColumn, lit(reportVersion))
+      .withColumnIfDoesNotExist(ifExistsFunc)(InfoDateColumn, to_date(lit(reportDate), ReportDateFormat))
+      .withColumnIfDoesNotExist(ifExistsFunc)(InfoDateColumnString, lit(reportDate))
+      .withColumnIfDoesNotExist(ifExistsFunc)(InfoVersionColumn, lit(reportVersion))
   }
 
   private def getReportVersion[T](jobConfig: JobConfigParser[T], dataset: Dataset)(implicit hadoopConf: Configuration): Int = {
diff --git a/spark-jobs/src/main/scala/za/co/absa/enceladus/standardization/interpreter/stages/TypeParser.scala b/spark-jobs/src/main/scala/za/co/absa/enceladus/standardization/interpreter/stages/TypeParser.scala
index bccaa68cb..cfabcb863 100644
--- a/spark-jobs/src/main/scala/za/co/absa/enceladus/standardization/interpreter/stages/TypeParser.scala
+++ b/spark-jobs/src/main/scala/za/co/absa/enceladus/standardization/interpreter/stages/TypeParser.scala
@@ -38,6 +38,7 @@ import za.co.absa.spark.commons.implicits.ColumnImplicits.ColumnEnhancements
 import za.co.absa.spark.commons.implicits.StructTypeImplicits.StructTypeEnhancements
 import za.co.absa.spark.commons.utils.SchemaUtils
 import za.co.absa.spark.hofs.transform
+import za.co.absa.enceladus.utils.schema.{SchemaUtils => EnceladusSchemautils}
 
 import scala.reflect.runtime.universe._
 import scala.util.{Random, Try}
@@ -197,7 +198,6 @@ object TypeParser {
       logger.info(s"Creating standardization plan for Array $inputFullPathName")
       val origArrayType = origType.asInstanceOf[ArrayType] // this should never throw an exception because of `checkSetupForFailure`
       val arrayField = StructField(fieldInputName, fieldType.elementType, fieldType.containsNull, field.structField.metadata)
-      import za.co.absa.enceladus.utils.schema.{SchemaUtil => EnceladusSchemautils} // import rename
       val lambdaVariableName = s"${EnceladusSchemautils.unpath(inputFullPathName)}_${Random.nextLong().abs}"
       val lambda = (forCol: Column) => TypeParser(arrayField, path, forCol, origArrayType.elementType, failOnInputNotPerSchema, isArrayElement = true)
         .standardize()