Software Development

Placed Technologies GmbH

1-10

Germany

PLACED is a Berlin-based AI startup reimagining sales in recruitment services. Founded in late 2024, we are building a vertical SaaS that brings recruitment service providers such as headhunters and staffing providers into the era of AI-driven candidate placement. Our stealth-mode product is launching soon—and we’re backed by top-tier angels who believe in our vision to transform the €33B European recruitment services market.

We're looking for a sharp and detail-oriented Working Student to support our data engineering team with large-scale web scraping and structured data extraction tasks. You will play a critical role in building a scalable pipeline that fetches, cleans, and structures job data from various job boards, ATS portals, and career websites. Learn and grow with us!

## Tasks

*   Go through job boards, career pages, and portals to collect job listing links
*    Get the web page content (HTML) from each link using tools like requests, curl, or services like ScrapeOps
*    Use Scrapy to build and manage web crawlers that pull out useful data from those pages
*    Clean up and organize the data, and turn it into a neat JSON format
*    Deal with messy web pages that have inconsistent structures or complex elements
*    Upload the final cleaned data to an Amazon S3 bucket (cloud storage) in the right format
*    Add error handling and logging so your code runs smoothly even when there are issues
*    Work closely with the product and data teams to make sure the data is accurate and useful

## Requirements

*   You’re currently studying Computer Science, Data Science, or a similar field at a german university
*   You’re comfortable writing scripts in **Python** and enjoy automating things
*   You’ve worked with tools like **Scrapy**, requests, or BeautifulSoup to scrape websites
*   You know how to read and work with **HTML** and **JSON** data
*   You’ve heard of APIs and maybe even used one before
*   You understand basic cloud tools like **AWS S3** (or are eager to learn)
*   You know the basics of good web scraping (like being polite to websites using robots.txt, waiting between requests, etc.)
*   You’ve used **Git** to manage your code (e.g., GitHub projects or university work)
*   You pay attention to detail, like solving problems, and can work on tasks by yourself
*   Bonus if you’ve used tools like Playwright or Selenium or have dealt with websites that are hard to scrape (like ones that use JavaScript or CAPTCHAs)

## Benefits

*   Flexible working hours tailored to your university schedule
*   Learn hands-on from a team building real-world automation and data pipelines
*   Gain experience with web-scale data collection and cloud deployment
*   Opportunity to grow into a full-time role upon graduation

Interested? Send us your CV, GitHub/portfolio, and a short note about a scraping challenge you've solved.

Working student

No experience required / Student

<p>PLACED is a Berlin-based AI startup reimagining sales in recruitment services. Founded in late 2024, we are building a vertical SaaS that brings recruitment service providers such as headhunters and staffing providers into the era of AI-driven candidate placement. Our stealth-mode product is launching soon—and we’re backed by top-tier angels who believe in our vision to transform the €33B European recruitment services market.</p>
<p>We&#39;re looking for a sharp and detail-oriented Working Student to support our data engineering team with large-scale web scraping and structured data extraction tasks. You will play a critical role in building a scalable pipeline that fetches, cleans, and structures job data from various job boards, ATS portals, and career websites. Learn and grow with us!</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Go through job boards, career pages, and portals to collect job listing links</li>
<li>Get the web page content (HTML) from each link using tools like requests, curl, or services like ScrapeOps</li>
<li>Use Scrapy to build and manage web crawlers that pull out useful data from those pages</li>
<li>Clean up and organize the data, and turn it into a neat JSON format</li>
<li>Deal with messy web pages that have inconsistent structures or complex elements</li>
<li>Upload the final cleaned data to an Amazon S3 bucket (cloud storage) in the right format</li>
<li>Add error handling and logging so your code runs smoothly even when there are issues</li>
<li>Work closely with the product and data teams to make sure the data is accurate and useful</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>You’re currently studying Computer Science, Data Science, or a similar field at a german university</li>
<li>You’re comfortable writing scripts in <strong>Python</strong> and enjoy automating things</li>
<li>You’ve worked with tools like <strong>Scrapy</strong>, requests, or BeautifulSoup to scrape websites</li>
<li>You know how to read and work with <strong>HTML</strong> and <strong>JSON</strong> data</li>
<li>You’ve heard of APIs and maybe even used one before</li>
<li>You understand basic cloud tools like <strong>AWS S3</strong> (or are eager to learn)</li>
<li>You know the basics of good web scraping (like being polite to websites using robots.txt, waiting between requests, etc.)</li>
<li>You’ve used <strong>Git</strong> to manage your code (e.g., GitHub projects or university work)</li>
<li>You pay attention to detail, like solving problems, and can work on tasks by yourself</li>
<li>Bonus if you’ve used tools like Playwright or Selenium or have dealt with websites that are hard to scrape (like ones that use JavaScript or CAPTCHAs)</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Flexible working hours tailored to your university schedule</li>
<li>Learn hands-on from a team building real-world automation and data pipelines</li>
<li>Gain experience with web-scale data collection and cloud deployment</li>
<li>Opportunity to grow into a full-time role upon graduation</li>
</ul>
<p>Interested? Send us your CV, GitHub/portfolio, and a short note about a scraping challenge you&#39;ve solved.</p>


Working Student AI Venture (Web Scraping & Data Extraction) (m/f/d)

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