diff --git a/pramen/core/src/main/scala/za/co/absa/pramen/core/utils/JdbcSparkUtils.scala b/pramen/core/src/main/scala/za/co/absa/pramen/core/utils/JdbcSparkUtils.scala
index bf08b7e57..92a91ae54 100644
--- a/pramen/core/src/main/scala/za/co/absa/pramen/core/utils/JdbcSparkUtils.scala
+++ b/pramen/core/src/main/scala/za/co/absa/pramen/core/utils/JdbcSparkUtils.scala
@@ -276,13 +276,15 @@ object JdbcSparkUtils {
         case t: DecimalType if t.scale == 0 && t.precision <= 18 =>
           log.info(s"Correct '${field.name}' (prec=${t.precision}, scale=${t.scale}) to long")
           newSchema += s"${field.name} long"
-        case t: DecimalType if t.scale >= 18 =>
+        case t: DecimalType if t.scale > 18 =>
           log.info(s"Correct '${field.name}' (prec=${t.precision}, scale=${t.scale}) to decimal(38, 18)")
           newSchema += s"${field.name} decimal(38, 18)"
         case t: DecimalType if fixPrecision && t.scale > 0 =>
           val fixedPrecision = if (t.precision + t.scale > 38) 38 else t.precision + t.scale
-          log.info(s"Correct '${field.name}' (prec=${t.precision}, scale=${t.scale}) to decimal($fixedPrecision, ${t.scale})")
-          newSchema += s"${field.name} decimal($fixedPrecision, ${t.scale})"
+          if (fixedPrecision > t.precision) {
+            log.info(s"Correct '${field.name}' (prec=${t.precision}, scale=${t.scale}) to decimal($fixedPrecision, ${t.scale})")
+            newSchema += s"${field.name} decimal($fixedPrecision, ${t.scale})"
+          }
         case _ =>
           field
       }
diff --git a/pramen/core/src/test/scala/za/co/absa/pramen/core/tests/utils/JdbcSparkUtilsSuite.scala b/pramen/core/src/test/scala/za/co/absa/pramen/core/tests/utils/JdbcSparkUtilsSuite.scala
index 2cfd5b7f8..386727777 100644
--- a/pramen/core/src/test/scala/za/co/absa/pramen/core/tests/utils/JdbcSparkUtilsSuite.scala
+++ b/pramen/core/src/test/scala/za/co/absa/pramen/core/tests/utils/JdbcSparkUtilsSuite.scala
@@ -228,6 +228,19 @@ class JdbcSparkUtilsSuite extends AnyWordSpec with BeforeAndAfterAll with SparkT
       assert(customFields.contains("value decimal(38, 18)"))
     }
 
+    "correct invalid precision with small scale" in {
+      val schema = StructType(Array(StructField("value", DecimalType(30, 16))))
+
+      val dfOrig: DataFrame = Seq("1234567890").toDF("value")
+        .withColumn("value", $"value".cast("decimal(38, 18)"))
+
+      val df = spark.createDataFrame(dfOrig.rdd, schema)
+
+      val customFields = JdbcSparkUtils.getCorrectedDecimalsSchema(df, fixPrecision = true)
+
+      assert(customFields.contains("value decimal(38, 16)"))
+    }
+
     "do nothing if the field is okay" in {
       val df: DataFrame = Seq("12345").toDF("value")
         .withColumn("value", $"value".cast("int"))