The problem is that the data appears in only one column and is not distributed among the rest of the columns (an image has been attached).
Knowing the seventh step, I used the zip longest method and did unpacking. I do not know exactly where the problem is.

The code :

import requests
from bs4 import BeautifulSoup
import csv
from itertools import zip_longest

job_title = []
company_name = []
location_name = []
skills = []



#2 use requests to fetch the url
result = requests.get ("https://wuzzuf.net/search/jobs/?q=programmer&a=hpb")

#3 save page content/markup
src = result.content

#4 create soup object to parse content
soup = BeautifulSoup (src, "lxml")

#5 find the elements containing info we need 
#-- job titles, job skills, company names, location names 

job_titles = soup.find_all("h2",{"class":"css-m604qf"})
company_names = soup.find_all("a",{"class":"css-17s97q8"})
locations_names = soup.find_all("span",{"class":"css-5wys0k"})
job_skills = soup.find_all("div",{"class":"css-y4udm8"})

#6 loop over returned lists to extract needed info other lists

for i in range(len(job_titles)):
    job_title.append(job_titles[i].text)
    company_name.append(company_names[i].text)
    location_name.append(locations_names[i].text)
    skills.append(job_skills[i].text)

#7 create csv file and fill it with values
file_list = [job_title, company_name, location_name, skills]
exported = zip_longest(*file_list)

with open("job.csv", "w" ) as myfile:
    wr = csv.writer(myfile)
    wr.writerow(["job title", "company name", "location", "skills"])
    wr.writerows(exported)

I used unpacking and zip_longest so that each title appears in a column and the details appear in rows consistent with it