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Data Engineer

Huzzle

Germany Remote Full Time Competitive
No closing date given — apply early.

About

Design, build, and maintain scalable data pipelines and infrastructure to ensure reliable and high-quality data across the organization.

Requirements

  • 2+ years of experience in data engineering or warehousing
  • Strong SQL skills
  • Proficiency in Python, Java, or Scala
  • Experience with ETL/ELT tools
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience with modern data warehouses (Snowflake, Redshift, BigQuery, or Databricks)
  • Knowledge of Airflow or Prefect

Responsibilities

  • Design and maintain scalable ETL/ELT pipelines
  • Develop and optimize data architectures and warehouses
  • Integrate data from various sources and APIs
  • Maintain data quality and security
  • Monitor and troubleshoot data workflows
  • Collaborate with analytics and engineering teams

Benefits

  • Competitive compensation
  • Fully remote work
  • Career development
  • Ongoing learning
  • Modern tech stack
Data EngineeringRemoteSQLPythonCloud

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