Coolblue. Once, it was only a college start-up. Today, it s an online enterprise that s made up of 8 physical stores and over 325 specialized webshops.
Ever since we began in 1999, we ve had but one goal : to make customers happy. We provide expert advice and we’re obsessed with customer satisfaction.
Together, we work our butts off in order to amaze our customers.
You support our Business Analysis and Data Science teams through your technical expertise and passion for data.
What you tell people at parties
I am a data hacker : I make Coolblue a little bit more data-driven everyday.'
What you really do
Your technical expertise will make Coolblue smarter by assisting a data-driven decision making process
How you do it
You'll work in a Scrum team of four to six members formed mostly by Python developers with a passion for data. The team is managed by a Team Lead.
The Team’s backlog is cured by Product Owner Jessica and Scrum Master Sonja. Your team works closely together with Business Analysts and a team of Data Scientists, providing them with data structures they can easily use to support company decisions.
A day at the office
Natalia sends you a Pull Request to speed up the transfer of data from the ERP system using a new messaging system. You review it together and then merge the code.
After that, you join Jessica, the Product Owner, who wants discuss the requirements for the new process that will provide new insights about our customer Journey.
Just before lunch, you pass by Matthias, a data scientist who is working on a new Machine Learning algorithm which can forecast warehouse stock.
You help him moving some data to BigQuery. You invite him to have lunch together with your team. On the way back, you share your concerns about the Google Adwords ingest process with Rafael.
It's losing records, so you want to refactor some of the python code. You add a few automated tests, send the Pull Request to your teammate, Soumya, for review and at 16 : 30, the improvements are automatically deployed via our continuous integration pipeline.
By 17 : 30, you're done for the day and, together with your team members, head to the bar for a drink.
What we're asking
Plenty of restaurants around