Requirements

  • Be smart

             
  • Be hungry to tackle challenges

             
  • Like dynamic environments

             
Budapest, Szép u. 4, 1053 Magyarország

 

Job Description

As a Data Engineer you are responsible for building the jobs and processes we use to integrate and process large data sets for our products. Our products are integrated into the largest online stores in the US and Europe and provide shopping experiences that revolutionize ecommerce. You will be directly responsible for developing and maintaining the data infrastructure that powers our products.

Responsibilities

  • Make all of our data available for everyone
  • Write code that processes large datasets
  • Verify that acquired datasets follow our specs
  • Perform code reviews

Working Hours

Weekly working hours
40 hours
Flexible working hours  - Upon discussion
Core time
10:00 - 16:00
Home office  - Upon discussion

Job details

Term of employement
Open ended
Salary Type
Fixed monthly salary
Gross salary range
Not specified
Incentives
Stock options

How to apply?

Now you can apply only with your e-mail address and we will send you a reply e-mail with all the details. 

Our values

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1

Team orientation

2

Dependability

3

Customer care


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More on the job

Hadoop and Spark are at the front and center of our data infrastructure. If you do not have much experience with Hadoop, this is an opportunity for you to receive training and learn about the big data technology ecosystem surrounding Hadoop.

This is an opportunity for you to directly impact our 40 million users and to ensure their happiness. If you are passionate about working with data, big and small, this is your opportunity.

What We Do

We are a San Francisco based tech startup in the fashion/apparel retail space building innovative shopping experiences based on retailers' data. Our customer base includes some of the most iconic brands in the US such as Saks Fifth Avenue, Barneys New York, Bloomingdale's, Lands' End and others. Our services are branded experiences inside these stores and are used by over 40 million users a month.

 

Mentoring, mentoring, mentoring - Ágnes

Technology Stack

We believe in using the right tool for the right job instead of a particular set of technologies. Experience with our current stack is useful, but not required.

  • Frontend: ES6, AngularJS, React/Flux
  • Backend: Java 8 (Dropwizard, Spark), Go
  • Admin: Ruby/Rails (sidekiq), PostgreSQL
  • Data: Python (Airflow, Spark), Redshift
  • DevOps: AWS, GitHub, Circle CI, HipChat, Sentry, New Relic, Docker, Packer, Terraform, Ansible
  • QA: BrowserStack, JIRA, Java (Selenium)

Cutting edge technology used to solve real, hard problems.

Gábor Rátky CTO

 

The right tool for the job - Tamás

Benefits

  • Be part of a successful startup with phenomenal growth opportunities
  • Casual, fun, international team
  • Competitive compensation package, flexible vacation days
  • Stock options
  • Cool downtown office with games, beer, wine and more

Don't hesitate too long. Go, try and learn.

Emese Pogácsás VP Engineering

I always know why I do what I am doing and how the results will influence the company.

Ágnes Salánki Data Analyst

Tags

Amazon Web Services Big Data ETL Spark Scala Hadoop

 

Collaborative culture - Kyra

You can touch the business - no matter which team you're at.

Julianna Göbölös-Szabó Data Scientist

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