Trainee / Specialist – Data Mining & Web Scraping Automation (m/f/d)

RE-Managers GmbH; Bad Grönenbach; Vor Ort; EUR 40.000 - 65.000; Vollzeit

Benefits dieser Stelle

Relocation sponsorship

Housing support

Living allowances during training

Sponsored German language classes

Zusammenfassung

IRIS – Institut für raumbezogene Infrastruktur und Raumforschung (gGmbH) seeks engineers to design, develop, and maintain autonomous scraping routines for public registers and corporate filings.

You will parse HTML, PDF, JSON, and XML into structured data while monitoring feeds and integrating datasets into core spatial repositories. Fluent English is required for international collaboration.

Qualifikationen

• University degree in CS, SE or data analytics or related field.
• Strong motivation to develop Python-based scraping skills.
• Fluent English required for international collaboration.

Aufgaben

• Design, develop, and maintain autonomous scraping routines and extraction agents.
• Parse unstructured documents (HTML, PDF, JSON, XML) into clean relational data.
• Monitor data feeds and integrate datasets into spatial repositories.

Kenntnisse

Python

Scrapy

BeautifulSoup

Selenium

Playwright

Regex

Data modeling

English fluency

Ausbildung

Bachelor's in Computer Science

Bachelor's in Software Engineering

Bachelor's in Data Analytics

Tools

Selenium

Playwright

Jobbeschreibung

Organization: IRIS – Institut für raumbezogene Infrastruktur und Raumforschung (gGmbH)

Location: Germany (On-site / Hybrid with Relocation & Housing Support)

Target Program: Opportunity Card (Chancenkarte) / Master Trainees / International Talents

Working Language: English (No initial German language skills required)

About the Research Institute:

The IRIS Institute (gGmbH) conducts applied research into spatial data systems, automated data extraction, and infrastructure transformation. We build scalable data pipelines to turn fragmented public records into structured spatial insights.

What We Offer:

We fully sponsor and support your relocation journey to Germany via the Opportunity Card framework, managing visa formalities, degree assessments, and onboarding logistics. You will benefit from organized accommodation, living allowances during training, sponsored German language classes, and hands‑on exposure to production‑grade data mining environments.

Your Role & Key Tasks:

You will design, develop, and maintain autonomous scraping routines and extraction agents for public registers, corporate filings, and official announcements. You will parse complex unstructured document formats—such as HTML, PDF, JSON, and XML—into clean, relational data structures, while monitoring data feeds and integrating incoming datasets into our core spatial repositories.

Candidate Profile & Qualifications:

Applicants should hold a university degree in Computer Science, Software Engineering, Data Analytics, or a related technical subject. You should possess solid foundations or a strong motivation to develop your skills in Python (using libraries such as Scrapy, BeautifulSoup, Selenium, or Playwright), text parsing, regex, and structured data modelling. Fluent English is required.