Data Scraper (Paris, Berlin and/or Zurich)

Data is core to everything we do at PriceHubble. We rely on a wide variety of data from multiple sources. As a data scraper, your mission will be to source, capture and extract new datasets that help us develop cutting edge valuation and forecasting tools for the real estate market.




  • Identify and analyse new data sources
  • Access new data with whatever strategy is suitable, e.g. write web-scraping and parsing scripts,...
  • Create new datasets and integrate them in top shape into the data pipeline
  • Define and implement data acquisition strategies


  • BSc in Computer Science or equivalent
  • Proficiency in at least one object-oriented programming language and at least one scripting language; Python is a strong advantage
  • Experience with scraping and web crawling (scrapy is an advantage)
  • Understanding of basic data structures and algorithms
  • Familiarity with software engineering best practices (clean code, code review, test-driven development, ...) and version control systems
  • Worked previously in ‘agile’ team(s) and are looking forward to doing it again,
  • Comfortable working in English; you have a great read, good spoken command of it