Remote Jobs In Spain by Kaggle | Finance and Economics

About this Dataset

Remote Jobs In Spain

Remote Jobs in Spain

Analyzing Roles, Technologies, and Salaries in October 2020

About this dataset

This dataset contains a snapshot of the remote job market in Spain in October 2020. It includes pertinent info such as job titles, locations, salaries, descriptions and more to give a comprehensive overview of the types of jobs, technologies and roles that are available for remote work within the country. This resource offers a valuable insight into the current job market landscape to help inform job seekers on potential opportunities. With data on salary ranges, expertise levels needed and sought-after sectors among others complemented by detailed descriptions, this dataset is perfect for getting an overview of roles necessary to fill remote positions currently in demand

More Datasets

For more datasets, click here.

Featured Notebooks

🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset contains information about remote job postings in Spain in October 2020. It includes various columns such as titles, locations, salaries, descriptions, and more. This dataset can be used to analyze the job market in Spain and help job seekers find roles best suited for their skills and interests.

To use this dataset effectively it is important to understand the meaning of each column name. For example, 'title' offers a title for the job posting; 'city' is the city where the position is located; 'province' is the province where this position belongs to; 'price_start' and 'price_end' indicate minimum and maximum salaries respectively; 'description', contains a description of what this job entails; date indicates when this listing was posted etc.

By exploring further into individual columns one can discover additional details relevant to specific roles that may be beneficial while searching or applying for jobs. This includes values such as online portals (‘portal’) or types (‘type’) of jobs being offered on those portals. Additionally ‘expertise’ column contains values indicating expertise required on those positions while ‘function’ column identifies related functions associated with them.'sectors', provides an insight into industry they belong to while salary currency ('price_currency') hints at salary payments being made in local or international currencies .

With all these valuable insights available via single data set one can easily search through data rows list out employers offering suitable jobs based on their need like location ,salaries , fields etc .This makes kaggle dataset most suitable choice for both employer who want post remote jobs as well prospective employee looking for work from home opportunities

Research Ideas

Analyzing trends in the job market to obtain insights into the growth of certain positions, technologies, and sectors.

Conducting salary comparisons based on region and specific roles in order to assess how competitive a particular industry is in a given area.

Creating visualizations that compare job titles/functions across different regions to see where there are skill shortages or opportunities for movement within a geographic area or sector

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: jobs.csv

Column name	Description
title	The title of the job posting. (String)
city	The city in which the job is located. (String)
province	The province in which the job is located. (String)
price_start	The minimum salary offered for the job. (Integer)
price_end	The maximum salary offered for the job. (Integer)
price_interval	The salary interval offered for the job. (String)
price_currency	The currency in which the salary is offered. (String)
description	A detailed description of the job. (String)
date	The date the job was posted. (Date)
expertise	The expertise required for the job. (String)
type	The type of job. (String)
functions	The functions and duties associated with the job. (String)
sectors	The sector in which the job is located. (String)
portal	The portal from which the job was posted. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Jobs

@kaggle.thedevastator_remote_jobs_in_spain.jobs

1.25 MB
1987 rows
14 columns


CREATE TABLE jobs (
  "title" VARCHAR,
  "city" VARCHAR,
  "province" VARCHAR,
  "price_start" DOUBLE,
  "price_end" DOUBLE,
  "price_interval" VARCHAR,
  "price_currency" VARCHAR,
  "description" VARCHAR,
  "date" TIMESTAMP,
  "expertise" VARCHAR,
  "type" VARCHAR,
  "functions" VARCHAR,
  "sectors" VARCHAR,
  "portal" VARCHAR
);