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.

Your responsibilities will be: 

• Developing a ML cloud-based platform, to help data scientist delivering predictive models
• Building robust data processing pipelines of high data quality in a scalable fashion (both data and maintainability)
• Creating ETL data flows in Big Data Ecosystem
• Creation of data models for data injection to the ML platform
• Maintenance of the data processing pipeline and the machine learning platform
• Creation of a well documented and easy to maintain code base
• Unit and functional tests for high-quality codebase

Qualifications

What will you need:

• At least 3 years of data engineering/backend software engineering experience
• Graduate degree in a quantitative or analytical field with material exposure to coding
• Fluent English
• Good communication skills
• Detail-oriented, ability to multitask and work in cross-functional teams with Agile methodologies 
• Ability to work independently and also be able to work in a team

Technologies:

Must haves:

• 3+ years experience in Python (data-processing, platform and runtime) & cloud technologies (e.g. AWS)
• Experience in Data Structures (DataBase, Data Warehouse, Data Lake) and processing languages (e.g. SQL, Python, Spark)
• Understanding of Big Data concept

Advantage:

• Flask, Machine Learning and AI experience
• GO programming 
• 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