Merge multiple lines of data into one while extending data into row while merging

Hi AtticusZak - to achieve your outcome you need to understand the advanced feature of Table.Group.  Please consider the following Advanced Group By Tricks in Power Query - YouTube.  Chandeep gives good explanation.  Using this approach, you will have a table with the following:

Within the Nested Table in each row, you will find the two Rows with the employee details that you want to split in Column groups.  To these tables though we want to add an Table.AddIndexColumn.

We can now expand the table columns to add Employer, Job, Email, Phone and Index back to Customer.

We can now use the Unpivot and Pivot features in Power Query to transition the Columns to Rows then to separate Columns.  Transpose, pivot or unpivot in Power Query? - YouTube

Here is the code I created:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcspPKlbSUfLKTwWSvolF2aklmXnpQLYjEBsqxeoglCTmAcngxJxUEM8JiI3A0kGJyRmpOcVQ7UDKvwDEcQZiYwwFeSmVSIa4ALGJUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Customer = _t, Employee = _t, Job = _t, Email = _t, Phone = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Customer"}, {{"Table", each Table.AddIndexColumn(_ , "Index" , 1, 1) }}),
    #"Expanded Table" = Table.ExpandTableColumn(#"Grouped Rows", "Table", {"Employee", "Job", "Email", "Phone", "Index"}, {"Employee", "Job", "Email", "Phone", "Index"}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Expanded Table", {"Customer", "Index"}, "Attribute", "Value"),
    #"Merged Columns" = Table.CombineColumns(Table.TransformColumnTypes(#"Unpivoted Columns", {{"Index", type text}}, "en-GB"),{"Attribute", "Index"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Merged"),
    #"Pivoted Column" = Table.Pivot(#"Merged Columns", List.Distinct(#"Merged Columns"[Merged]), "Merged", "Value"),
    #"Changed Type" = Table.TransformColumnTypes(#"Pivoted Column",{{"Employee 1", type text}, {"Job 1", type text}, {"Email 1", type text}, {"Phone 1", type text}, {"Employee 2", type text}, {"Job 2", type text}, {"Email 2", type text}, {"Phone 2", type text}})
in
    #"Changed Type"