Junior Data Engineer


Information Technology
level required
Mid-Senior Level
job timing

Job Description

If you have experience in shipping scalable software solutions working with large data and throughput volumes and you can quickly learn new and emerging technologies – scroll down and learn more!

As a Jr. Data Engineer you will contribute to the full development lifecycle from data to pipelines and to support our colleagues in Data Science and Research teams.

What will you do

  • Work closely with our CTO, Software and Data engineers, researchers and data scientists on
    • building robust data pipelines of high data quality in a scalable fashion (both data and maintainability)
    • creating ETL data flows in Big Data Ecosystem


What will you need

  • 1-2 years of data engineer experience
  • Graduate degree in a quantitative or analytical field with material exposure to coding
  • Fluent English
  • Detail-oriented, ability to multitask and work in a fast-paced environment


  • Machine Learning and AI experience


Must haves:

  • Python (data-processing, platform and runtime)
  • SQL
  • Spark/Apache Drill/Athena and similar


  • AWS ecosystem (Fargate, S3, SQS, SNS, Lambda, RDS)
  • Docker (containers)
  • Zookeeper (management)
  • NGINX (load balancer)
  • Ansible ( application deployment)
  • Jfrog Artifactory (Repository Manager)
  • CircleCI (Continuous Integration)
  • Log and APM tools
  • MongoDB and Redis (NoSQL)
  • PostgreSQL

Additional Information

What can we offer:

  • Professional development: books, online training
  • Opportunity to attend or speak on conferences
  • Opportunity for travel
  • Flexible working hours
  • Home office opportunity
  • Healthcare benefit package
  • Eye-glasses allowance
  • Excellent salary and compensation package
  • You can choose your working tools (Mac or Windows)
  • Relocation allowance

Place of work: Budapest