# Companies Hiring Data Engineers in Berlin

**Use case:** 

Lists Berlin companies with open data engineer or analytics engineer roles from the last 30 days, one row per company. Besides the matching roles you get intent tags such as building-data-team, the department and seniority mix, total open roles from the career page and the company website. Data consultancies and tool vendors can reuse it with their own city or roles.

## Input

```json
{
  "roles": [
    "Data Engineer",
    "Analytics Engineer"
  ],
  "locations": [
    "Berlin, Germany"
  ],
  "postedWithin": "month",
  "seniority": [],
  "remoteOnly": false,
  "companies": [],
  "industries": [
    "software",
    "information technology"
  ],
  "companySizes": [],
  "hideStaffingAgencies": true,
  "useLinkedIn": true,
  "useIndeed": true,
  "useCareerPages": true,
  "useGoogleJobs": false,
  "minMatchingRoles": 1,
  "maxCompanies": 20,
  "includePostings": false,
  "watchId": "outbound-us",
  "maxJobsPerSearch": 200,
  "maxCareerPageProbes": 100,
  "maxConcurrency": 6,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "company": {
    "label": "Company",
    "format": "text"
  },
  "intents": {
    "label": "Intents (tag · strength · evidence)",
    "format": "object"
  },
  "departments": {
    "label": "Departments hiring",
    "format": "object"
  },
  "seniorityMix": {
    "label": "Seniority mix",
    "format": "object"
  },
  "totalOpenRoles": {
    "label": "All open roles",
    "format": "number"
  },
  "matchingOpenRolesAnywhere": {
    "label": "Matching anywhere",
    "format": "number"
  },
  "remoteRoles": {
    "label": "Remote",
    "format": "number"
  },
  "countries": {
    "label": "Countries",
    "format": "array"
  },
  "isUrgentHiring": {
    "label": "Urgent",
    "format": "boolean"
  },
  "linkedinUrl": {
    "label": "LinkedIn",
    "format": "link"
  },
  "website": {
    "label": "Website",
    "format": "link"
  }
}
```

## How it works

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

The Hiring Intent Scraper – Companies Hiring & Hiring Signals Actor is ready to run with the inputs already set for "Companies Hiring Data Engineers in Berlin". [Sign up or log in](https://console.apify.com/create-task-from-example/vgKjfTSr6c0uPegZj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Companies Hiring Data Engineers in Berlin" task

The Hiring Intent Scraper – Companies Hiring & Hiring Signals Actor will start running based on the input automatically. You can also change all the input fields, like roles that signal intent, locations, and more, to match your specific use case.

### 3. Receive the "Companies Hiring Data Engineers in Berlin" 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, intents (tag · strength · evidence), departments hiring, 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 "Companies Hiring Data Engineers in Berlin" task via API](https://apify.com/inovaflow/hiring-intent-scraper.md).

## About this Actor

This example demonstrates how to use [Hiring Intent Scraper – Companies Hiring & Hiring Signals](https://apify.com/inovaflow/hiring-intent-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/inovaflow/hiring-intent-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/inovaflow/hiring-intent-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`).