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Cloud Data Engineer (GCP / Azure / Snowflake / BigQuery)

DatumoCały światCały świat

Źródło:TheProtocol.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano11 września 2026
Wykryte przez nas
Wykryte przez nas12 września 2026
Zarobki
Zarobki20 000 - 30 000 PLN

Datumo is a specialized Big Data and Cloud consulting company focused on delivering high-impact data platforms and modernization solutions for enterprise-scale clients. We are looking for a Cloud Data Engineer to join our expert team, where you will have the opportunity to work on complex, long-term projects for major organizations while shaping the architecture and technology stack of our data solutions.

Key responsibilities

  • Designing, building, and optimizing scalable data pipelines within GCP or Azure environments.
  • Working extensively with modern data platforms such as BigQuery, Snowflake, or Databricks.
  • Developing robust data processing solutions using Python, Java, or Scala.
  • Collaborating with architects and client teams to modernize legacy data systems.
  • Ensuring high data quality, performance, and reliability through code reviews and technical design.

Requirements

  • At least 3-4 years of professional experience in data engineering.
  • Practical experience with at least one major cloud platform: GCP or Azure.
  • Hands-on expertise with BigQuery, Snowflake, or Databricks.
  • Strong proficiency in Python, Java, or Scala and advanced SQL skills.
  • Solid understanding of data modeling, scalable architecture, and pipeline maintenance.
  • B2+ level of English and communicative Polish.

What we offer

  • Fully remote work environment with long-term, challenging Big Data projects.
  • Onboarding with a dedicated mentor and a generous training budget.
  • Support for obtaining professional cloud certifications.
  • Private medical care, sports package, and English lessons with a native speaker.
  • Opportunity to influence project technology choices and rotate between diverse client engagements.

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