Backend-Developer (w/m) – Data Analysis & Architecture, Munich Germany

To strengthen our team in the heart of Munich, Germany we are looking for a

Backend-Developer (w/m) – Data Analysis & Architecture

PreisAnalytics is a successful startup in the e-commerce that analyzes every day more than 10 million price data from comparison shopping sites and online marketplaces across Europe. The software is used by national and international online stores to optimize their product prices and to expand their product range. Our goal is to make PreisAnalytics the leading market-analysis tool in the e-commerce. Take this challenge and become part of our team. PreisAnalytics has received several awards and is funded by renowned investors.

The Challenge:

  • Autonomous development of new analysis modules and real-time optimization algorithms
  • Development of an intelligent, high-performance tracking technology for processing large amounts of external data
  • Optimization of the data architecture and performance of PreisAnalytics

Your Benefits:

  • A young, highly motivated, visionary team with the goal to change the e-commerce
  • Cutting-edge technologies (cloud infrastructure, automatic scaling, Big Data…)
  • Startup culture with lots of fun and space for ideas
  • An office centrally located in one of the most popular cities in Germany - Munich
  • Good paying, flexible working hours and an exciting long-term perspective

Your Skills:

  • Minimum of 3 years’ experience in backend-development
  • Good knowledge of MySQL and MongoDB
  • Many years of experience in development with Ruby on Rails
  • Proficient or fluent in English or German
  • Optional: experience in e-commerce software, Big Data (storage, optimization, evaluation) or tracking technologies (tracking cookie)

Does this sound exciting? Then submit your application incl. your CV to jobs@preisanalytics.de. If you have any question, please do not hesitate to contact us. The position is available immediately for you. For more information on PreisAnalytics please visit www.preisanalytics.de and www.priceAPI.com.