Print more than 2 tables in SQL - sql

Question

I want to print out 2 or more tables in the SQL azure, but i'm trying to using UNION and UNION ALL but it still have the same error which is
Msg 205, Level 16, State 1, Procedure Query12, Line 7
All queries combined using a UNION, INTERSECT or EXCEPT operator must have an equal number of expressions in their target lists
GO
CREATE PROCEDURE Query12
#date_job_completed varchar(50),
#Department_number int
AS
BEGIN
With q as(
SELECT Job.Job_no, type_of_machine_use, amount_of_time_machine_use, martirial_used, labor_time, date_job_completed as Print_out
FROM Cut_job
INNER JOIN Job ON Job.Job_no = Cut_job.Job_no
INNER JOIN No_of_Process ON No_of_Process.Process_id = Job.Process_id
INNER JOIN Department ON Department.Department_number = No_of_Process.Department_number
WHERE Cut_job.date_job_completed = #date_job_completed AND Department.Department_number = #Department_number
UNION ALL
SELECT Job.Job_no, Color, Volume, labor_time, date_job_completed as Print_out
FROM Paint_job
INNER JOIN Job ON Job.Job_no = Paint_job.Job_no
INNER JOIN No_of_Process ON No_of_Process.Process_id = Job.Process_id
INNER JOIN Department ON Department.Department_number = No_of_Process.Department_number
WHERE Paint_job.date_job_completed = #date_job_completed AND Department.Department_number = #Department_number
UNION ALL
SELECT Job.Job_no, labor_time, date_job_completed as Print_out
FROM Fit_job
INNER JOIN Job ON Job.Job_no = Fit_job.Job_no
INNER JOIN No_of_Process ON No_of_Process.Process_id = Job.Process_id
INNER JOIN Department ON Department.Department_number = No_of_Process.Department_number
WHERE Fit_job.date_job_completed = #date_job_completed AND Department.Department_number = #Department_number
)
SELECT Print_out
FROM q
END
GO
EXEC Query12 #date_job_completed = '23/23/2019', #Department_number = 4;

Answer 1

The basic rule for combining the result set of two or more queries by using UNION, UINON ALL, EXCEPT or INTERSECT are:
The number and order of the columns in the query must be same
And the data types should be compatible.
If this is not followed you will encounter the error as below.
If you do not have the same column list in all queries to avoid the errors, you can add NULL columns to the missing column list as below.