# New data engineer jobs in an n8n workflow

**Use case:** 

Finds the data engineer and analytics engineer jobs posted in the last 24 hours at 574 tech, AI, remote-first and European companies. In n8n, the Apify node runs this task with Run Task and Get Dataset and passes each job to your next step. $1 per 1,000 matching jobs, at most $0.10 a run.

## Input

```json
{
  "companyLists": [
    "ai-companies",
    "tech-companies",
    "remote-first",
    "europe-tech"
  ],
  "titleIncludes": [
    "data engineer",
    "analytics engineer"
  ],
  "location": "London",
  "remoteOnly": false,
  "jobFunctions": [
    "engineering",
    "data"
  ],
  "department": "engineering",
  "hasSalary": false,
  "minAnnualSalaryCurrency": "USD",
  "postedSince": "24 hours",
  "maxJobsPerCompany": 50,
  "maxResults": 100
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "companyName": {
    "label": "Name on the board",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "workplaceType": {
    "label": "Workplace",
    "format": "string"
  },
  "department": {
    "label": "Department",
    "format": "string"
  },
  "salaryMin": {
    "label": "Salary min",
    "format": "number"
  },
  "salaryMax": {
    "label": "Salary max",
    "format": "number"
  },
  "salaryCurrency": {
    "label": "Currency",
    "format": "string"
  },
  "salaryPeriod": {
    "label": "Pay period",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "string"
  },
  "url": {
    "label": "Job link",
    "format": "string"
  },
  "change": {
    "label": "Change",
    "format": "string"
  },
  "jobFunction": {
    "label": "Job function",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "employmentTypeNormalized": {
    "label": "Job type",
    "format": "string"
  },
  "countryCode": {
    "label": "Country",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "team": {
    "label": "Team",
    "format": "string"
  },
  "remote": {
    "label": "Remote",
    "format": "boolean"
  },
  "salaryAnnualMin": {
    "label": "Yearly salary min",
    "format": "number"
  },
  "salaryAnnualMax": {
    "label": "Yearly salary max",
    "format": "number"
  },
  "salarySource": {
    "label": "Salary from",
    "format": "string"
  },
  "experienceYearsMin": {
    "label": "Years of experience",
    "format": "number"
  },
  "educationMin": {
    "label": "Education",
    "format": "string"
  },
  "visaSponsorship": {
    "label": "Visa sponsorship",
    "format": "boolean"
  },
  "tools": {
    "label": "Tools",
    "format": "array"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "ats": {
    "label": "Job board",
    "format": "string"
  },
  "companyStatus": {
    "label": "Status",
    "format": "string"
  },
  "matchedBy": {
    "label": "Matched by",
    "format": "string"
  },
  "changedFields": {
    "label": "Changed fields",
    "format": "array"
  },
  "rowType": {
    "label": "Row type",
    "format": "string"
  },
  "jobKey": {
    "label": "Job key",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Tech Jobs Search: Startup, AI & Remote Jobs](https://apify.com/conserving_celerytop/tech-jobs-search.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/conserving_celerytop/tech-jobs-search.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/conserving_celerytop/tech-jobs-search.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`).