Data Engineer

Job description

Are you curious about the technology powering one of the most visited websites in the world? With over 45 million users, 2,000 servers, and 6 data centers around the globe, is unparalleled in the live streaming industry. It's no wonder Alexa ranked us as one of the Top 35 websites worldwide! Don’t hesitate: contact us and start your career in Luxembourg or Budapest!


What you will be doing in our team


We are a small and dedicated group of data engineers and analysts in charge of operating and evolving the analytics platform focusing on our company’s global web based product.

As a data engineer in our team, you will:

  • Work with a range of established or emerging techologies so that we can build an efficient infrastructure for our analytics platform
  • Process web scale relational data and event streams to meet our analysts’ and clients’ (insatiable :) data needs
  • Build internal services and APIs for our data analytics services
  • Build advanced analytics solutions employing predictive analytics and machine learning
  • Work in a small team, and witness your work making an impact in a big company



  • Experience with SQL and relational databases (ideally MSSQL, My SQL)
  • Experience with no-SQL / distributed / stream data processing technologies (e.g Spark, Hadoop, ELK stack, Kafka, etc.)
  • Experience implementing data integrations and ETL solutions in a cloud based environment
  • Hands-on knowledge of at least one scripting (e.g Python) and one statically typed programming language (e.g Java)
  • Comfortable working in a cloud / Linux based environment
  • Actual expertise or interest to learn about data science, predictive analytics and machine learning

Desired Skills

  • DevOps knowledge in a cloud / Linux based environment
  • Experience with any of the techologies below
    • Azure, Azure based data integrations
    • Elasticsearch, Logstash, Kibana
    • Apache Kafka, Flink or other stream data processing tools
    • JavaScript and Node JS
    • Ansible, Docker, Kubernetes
  • Data analysis with Python or R
  • Experience with Power BI, Tableau or other data visualization tool

What we offer:

  • Conferences, meetups.
  • Daily breakfast in the office.
  • Complimentary coffee, tea, and fresh fruit every day.
  • Customizable Cafeteria, Medicover, sport card.
  • Complimentary guarded parking (cars, motorcycles, bikes).
  • Fantastic events, including Christmas parties, family days, hackathons and other surprises.