Data Engineer

W0DE2

department
Information Technology
level required
Mid-Senior Level
job timing
Full-time

Job Description

Mission:

To build a data platform to help our researchers and data scientists to quickly and accurately answer to the world’s hardest questions depend on quantitative research. 🙂

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 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

Qualifications

What will you need

  • 3+ years of data engineer or software engineering experience
  • Graduate degree in a quantitative or analytical field with material exposure to coding
  • Fluent English

And

  • Good communication skills
  • Detail-oriented, ability to multitask and work in a fast-paced environment
  • Ability to work independently while also being a strong team player

Advantage:

  • Flask and Machine Learning and AI experience

Technologies:

Must haves:

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

Advantage:

  • 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:

  • The chance to solve the most pressing challenges on a global scale
  • 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