Data Engineer

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