Senior Data Engineer

Job description

Curious about the technologies powering some of the most visited websites in the world? Build products, ranking in top 35 in Alexa, serve 50 million users daily, operate 2,000 servers and 6 data centers. has become outstanding and market leader in the live streaming industry. is the place where people can connect authentically. is the pioneering innovator in the online spiritual world and has become the world’s biggest live spiritual site., an innovative, mobile -focused platform for content creators.

Wait no longer to see the career that Docler can bring you in Luxembourg or Budapest. Be part of our family, a diverse working environment with over 30 nationalities. 

The monthly gross salary offered for this position is between 800 000 - 1.200.000 HUF, depending on your experience and qualifications.

With us, 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


What we expect from you...

  • 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
  • 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

In return, you will get…

  • 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

For us the health of our colleagues and candidates is the most important, therefore our recruitment and the entire onboarding process is solved via online tools (e.g. video interview) without personal meetings. We are still very happy to receive and review your application.

We are in it for the long haul so your future is safe with us.

We are always on the lookout for fresh talent to join our #doclersquad