Senior Data Engineer

Data engineers are the central productive force of PriceHubble. As a data engineer, your mission will be to build and maintain our extract-transform-load infrastructure which consumes raw data and transforms it to valuable real estate insights. Your daily challenges will be to mine a wide range and variety of new datasets of all sort, build new datasets, extract and create new features. These features and insights are either directly used as part of our product or as a signal in our machine learning algorithms.

Responsibilities

Understand real estate market and urban related data
Extract, cleanup, structure and transform complex raw and processed datasets to extract insights from it
Retrieve a wide variety of datasets and integrate them into the data pipeline
Create and maintain an efficient data infrastructure
Continuously provide new ideas to improve our engines and products

BSc or MSc in Computer Science or equivalent
At least 3 years of experience in a similar position
Proficiency in at least one object-oriented programming language (preferably Python) and at least one scripting language
In-depth understanding of basic data structures and algorithms
Familiarity with software engineering best practices (clean code, code review, test-driven development, ...) and version control systems
Experience with the ETL and data processing tools we’re using is a strong advantage:
Python, Pandas
Luigi and PySpark
PostgreSQL and PostGIS
Scikit-learn and Tensorflow
Working experience with cloud providers (Google cloud, AWS or Azure)
Advanced knowledge of relational databases
Experience with Docker and Kubernetes orchestration is a strong advantage
Understanding of core machine learning concepts is an advantage
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

Flexible working hours/ possibility of home office
Thursday drinks at the office
Fruits delivery
Ping pong tournaments