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Applying today? Build your CV and Anschreiben free — no account needed.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)
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.
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.
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.
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.
Please submit your CV and a brief cover letter in English. We look forward to reviewing
! [[email protected]](https://mailto:[email protected])
Live opening from the Bundesagentur für Arbeit. ProoV is not affiliated with the employer; matched projects are a relevance pointer to prove the skill.