PriceHubble

Senior Data Engineer - Feature

Job description

PriceHubble is a PropTech company, set to radically improve the understanding and transparency of real estate markets based on data-driven insights. We aggregate and analyse a wide variety of data, run big data analytics and use state-of-the art machine learning to generate stable and reliable valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Berlin, Paris, Prague, Vienna and Tokyo. We work on international markets and we are backed by world-class investors. We have a startup environment, low bureaucracy and an international team and business.


Your role

You will be a member of one of the teams responsible for transforming data into insights that could be published via our products. You enjoy working on a wide range of features on an international multi disciplinary team. You are passionate about learning new things and care about being part of the design process, developing new features, maintaining existing code and contributing to the overall architecture design. You are a team player and speak your mind, you measure success not by the number of hours spent but by what is accomplished.


Responsibilities


  • Design, build and run data pipelines to source, ingest, integrate and publish data
  • Continuous improvement applying engineering best practices to development, monitoring, and data quality of the data pipelines
  • Identify new data sources that could be used for new features
  • Coach the team on data handling best practices

Requirements

  • Proven relevant experience in a similar position
  • Demonstrable ability to work creatively and analytically with a growth mindset
  • Experience manipulating data using Python and maintaining pipelines
  • Experience with relational databases
  • Experience with Docker and Kubernetes orchestration is an advantage
  • Understanding of basic data structures and algorithms
  • Familiarity with some of the tools we use is a plus (Pandas, Luigi, Airflow, PySpark, PostGIS)


  • We are interested in every qualified candidate who is eligible to work in the European Union but we are not able to sponsor visas.

Benefits

On top of joining a team of ambitious, qualified people you may also enjoy our benefits:

Flexible work hours

Competitive salary

Casual dress code

L&D program

Well-located offices

Free snacks, fruits, coffee, beers, sodas

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