Data Engineer - ML / AI

Cloud Technologies | Data Technology Stack | SQL | Python

Your new company

We provide data science capabilities and prediction services across multiple industries with offices in New York (USA) and Budapest (Hungary). Research and technology are at the core of our business, enabling us to identify insights and build models to help solve challenging real-world problems.

Your new role

As a Data Engineer, you will work with Data Engineers, Platform Engineers, Data Analysts, and Data Scientists to improve our technology stack to explore, evaluate, ingest, process, and store valuable datasets to increase the predictive capabilities of our product portfolio.

Key Responsibilities:
  • Responsible for improvement of our Data Technology Stack including DataBricks, Snowflake, Immuta, and Airflow
  • Responsible for establishing architecture of our robust data processing pipeline and extensible machine learning platform
  • Responsible for building robust data pipelines of high data quality in a scalable fashion (both data and maintainability)
  • Responsible for creation of ETL data flows in Big Data Ecosystem
  • Responsible for maintenance of data processing pipeline and machine learning platform
  • Responsible for unit and functional tests for high-quality codebase
  • Responsible for creation of data models for data injection to the machine learning platform

What you'll need to succeed

  • 2+ years of experience in a data engineering role in a cloud environment
  • 2+ years of experience in cloud technologies (e.g. AWS, GCP)
  • 1+ years experience in connection with Data Science/AI products
  • Experience working in cross-functional teams with Agile development methodologies
  • Understanding of Big Data concept
  • Experience in data processing programming languages, mostly SQL and Python
  • Knowledge of how to build scalable and maintainable ETL or ELT pipelines
  • Alignment with WQP’s culture and values which fosters collaboration, innovation, creative thinking and leadership

What you'll get in return

Our core philosophy is that talent is global: good ideas can come from anyone and anywhere, and the cross-fertilization of those ideas can lead to great solutions and innovative technologies. This philosophy is realized in our culture of collaboration and open exchange of ideas spanning multiple geographies and disciplines.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.
Click here to access HAYS Privacy Policy, which provides detailed information on how we use and protect your personal information, and your rights in relation to this.


Job Type
Information Technology
Data & Advanced Analytics

Talk to a consultant

Talk to Peter David, the specialist consultant managing this position, located in Budapest
Budapest, Szabadság tér 7, Bank Center

Telephone: 06704122193