# LinkedIn remote data engineer jobs in Europe, last 7 days

**Use case:** 

Fresh full-time remote Data Engineer postings across Europe from LinkedIn. For job seekers, recruiters sourcing rivals' openings and salary trend research.

## Input

```json
{
  "startUrls": [],
  "directUrls": [],
  "searchQueries": [
    "Data Engineer"
  ],
  "searchQuery": "Software Engineer",
  "location": "Europe",
  "country": "",
  "postedWithinDays": 7,
  "datePosted": "any",
  "sortBy": "newest",
  "jobType": "full-time",
  "experienceLevel": "",
  "remoteFilter": "remote",
  "easyApplyOnly": false,
  "earlyApplicantOnly": false,
  "maxResultsPerQuery": 25,
  "maxResults": 25,
  "titleFilter": "",
  "easyApply": false,
  "includeJobDetails": false,
  "includeCompanyDetails": false
}
```

## Output

```json
{
  "company_logo_url": {
    "label": "Company Logo",
    "format": "string"
  },
  "title": {
    "label": "Job Title",
    "format": "string"
  },
  "company": {
    "label": "Company Name",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "remote_option": {
    "label": "Remote Option",
    "format": "string"
  },
  "employment_type": {
    "label": "Employment Type",
    "format": "string"
  },
  "salary_text": {
    "label": "Salary Text",
    "format": "string"
  },
  "posted_at": {
    "label": "Posted Date",
    "format": "string"
  },
  "source_url": {
    "label": "Source URL",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Jobs Scraper: No Login, Company & Funding Data Actor is ready to run with the inputs already set for "LinkedIn remote data engineer jobs in Europe, last 7 days". [Sign up or log in](https://console.apify.com/create-task-from-example/Q1lv4tgD7QOfC3iBi) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "LinkedIn remote data engineer jobs in Europe, last 7 days" task

The LinkedIn Jobs Scraper: No Login, Company & Funding Data Actor will start running based on the input automatically. You can also change all the input fields, like start urls (linkedin search urls), direct job urls, and more, to match your specific use case.

### 3. Receive the "LinkedIn remote data engineer jobs in Europe, last 7 days" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as company logo, job title, company name, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "LinkedIn remote data engineer jobs in Europe, last 7 days" task via API](https://apify.com/santamaria-automations/linkedin-scraper.md).

## FAQ

### What job data does this task return?

The LinkedIn remote data engineer jobs task returns job title, company name, location, employment type, salary text, posting date, company logo URL, remote option, and a direct link to the job listing.

### Can I filter job results by location?

The task can filter job results by location, specifically targeting remote Data Engineer postings across Europe.

### What time frame does this task cover for job postings?

This task retrieves Data Engineer job postings that were posted within the last 7 days.

### Does this task extract company funding information?

The task can optionally include company profiles with details such as funding rounds and a Crunchbase URL.

### How many job listings can this task return?

The task is configured to return a maximum of 25 job listings per run.

### Can I schedule this task to run automatically?

Yes, this task can be scheduled to run automatically in the Apify Console.

### Is it necessary to log in to access postings with this task?

No, this task scrapes public LinkedIn job listings without requiring a login.

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper: No Login, Company & Funding Data](https://apify.com/santamaria-automations/linkedin-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/santamaria-automations/linkedin-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/santamaria-automations/linkedin-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).