Municipal Data Mining & OParl Specialist (m/f/d)

Arbeitsagentur; Bad Grönenbach; Hybrid; EUR 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Tuition/dual master track

Accommodation assistance

Visa assistance

Mentorship program

Zusammenfassung

Arbeitsagentur is seeking a Municipal Data Mining & OParl Specialist (m/f/d) in Germany. The role focuses on building Python-based interfaces to access municipal council data via OParl, parsing long-form documents, and applying NLP to extract spatial entities.

You will harmonize data into a PostgreSQL/PostGIS database, collaborating with architects and leadership. English is required; German fluency is essential for parsing German texts.

Qualifikationen

• Degree or equivalent practical industry experience in CS/DS/SE.
• Strong Python, data extraction, and API handling skills.
• Experience with unstructured text (PDF, OCR, JSON) helpful.
• OParl knowledge is a strong advantage.
• English proficiency required; German fluency strongly required.

Aufgaben

• Develop Python-based interfaces to query municipal data via OParl.
• Parse and structure minutes, zoning announcements, PDFs and HTML.
• Apply NLP and regex to categorize texts and extract spatial entities.
• Clean and load data into PostgreSQL/PostGIS database.

Kenntnisse

Python

Data extraction

API handling

Unstructured data processing

OParl

Ausbildung

Degree in Computer Science, Data Science, Software Engineering, or equivalent

Tools

PostgreSQL

PostGIS

Jobbeschreibung

Municipal Data Mining & OParl Specialist (m/f/d)

Location: Germany (Hybrid / Remote options available)

Contract Type: Full-Time Employment (Permanent)

Target Group: Software Engineers, NLP Specialists, Data Miners, Opportunity Card Holders, and Master's Graduates

About Project IRIS Project IRIS is an applied research initiative capturing and analyzing large volumes of public, unstructured text data from municipal information systems. By tracking local planning decisions before they hit official cadastral portals, we create early-warning systems for infrastructure development. In this role, you will build the automated agents that read and understand municipal government data.

Your Focus & Responsibilities

• API Integration: Develop and maintain Python-based interfaces to autonomously query municipal council information systems, primarily using the open OParl standard.
• Document Parsing: Parse and structure extensive text documents, meeting minutes, and official zoning announcements (PDFs, HTML).
• Text Mining & NLP: Apply regex, text mining, and fundamental NLP techniques to categorize administrative texts and extract spatial entities.
• Data Harmonization: Clean and transfer the extracted, geocoded data into our central relational database architecture (PostgreSQL/PostGIS).

What We Are Looking For

• Technical Background: Degree in Computer Science, Data Science, Software Engineering, or equivalent practical industry experience.
• Core Technical Skills: Solid practical experience in Python, data extraction, API handling, and unstructured format processing (PDF, OCR, JSON). Familiarity with OParl is a strong advantage.
• Mindset: A proactive problem-solving attitude with an eye for extracting structured truth from bureaucratic texts.
• Eligibility: Open to local applicants and international candidates (Chancenkarte / Opportunity Card supported).
• Languages: Professional working proficiency in English (required); fluent or highly proficient German language skills are strictly required to accurately parse and interpret German administrative and legal texts.

What We Offer

• Full-Time Permanent Employment: Long-term career stability with clear growth trajectories.
• Dual Master / Trainee Track Available: Tailored tracks including academic coordination and complete tuition support.
• Accommodation & Onboarding Package: Structured assistance with local accommodation, official registration, and comprehensive onboarding.
• Visa & Administrative Backing: Dedicated employer support for Opportunity Card conversions and visa applications.
• Direct Mentorship: Close collaboration with experienced technical architects and executive leadership.