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Data Pipelines Specialist

3 weeks ago


Budapest Debrecen Pécs Szeged, Czech Republic beBeeDataEngineering Full time €60,000 - €100,000

Job Role:

Data Engineering Position

We are seeking a highly skilled and motivated Data Engineer to join our team with a primary focus on orchestrating and maintaining data workflows using Dagster.

  • Design, implement, and manage scalable and reliable data pipelines across various environments.
  • Develop data transformation tasks and pipelines.
  • Collaborate closely with business analysts, data architects, and business stakeholders.

Key Responsibilities:

  • Design, build, and maintain robust data workflows using Dagster.
  • Manage configuration-driven pipelines, support dynamic partitioning, and integrate Dagster with version control, CI/CD tools, and containerized environments.
  • Develop scalable configurable services for different common orchestration tasks like data profiling or aggregation.
  • Implement data validation, unit, and integration testing within Dagster workflows to ensure correctness and maintain trust in the data.

Required Skills and Qualifications:

  • Proficiency in Python
  • SQL skills
  • Experience with relational databases
  • ETL/ELT development expertise
  • Knowledge of Spark
  • Proficiency in pandas
  • Understanding of data pipeline testing
  • Quality gates management
  • Configuration validation skills
  • Dagster proficiency
  • Experience with Kubernetes
  • Knowledge of Docker
  • Familiarity with Helm
  • CI/CD expertise
  • Data modeling skills
  • Ability to design data warehouses
  • Familiarity with data catalog tools

Additional Benefits:

  • Access to a gym membership
  • Private health insurance
  • Opportunities for international projects
  • Training budget allocated
  • Mobility assistance
  • Free coffee available
  • Access to a canteen
  • Bicycle parking facilities
  • Playroom for relaxation
  • Shower facilities
  • Free parking available
  • In-house training sessions
  • Regular hack days
  • Modern office space
  • Flexible dress code policy