Data Engineer

Location: Budapest, Hungary

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

Skill Requirements: 

  • 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

Individuals seeking employment at WQP are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Apply today!

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