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Opis oferty

Cloud Data Engineer (GCP / Azure / Snowflake / BigQuery) w Warszawa, Polska

DATUMO sp. z o.o.

  • ZdalniePraca z dowolnego miejsca
  • KontraktUmowa czasowa lub freelancing

20 000 – 30 000 zł

Warszawa, Polska

Your responsibilities

  • You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include:
  • ● designing, building and optimizing data pipelines in GCP and/or Azure;
  • ● working with BigQuery, Snowflake or Databricks;
  • ● using Python or JVM languages such as Java or Scala;
  • ● working with SQL in complex data environments;
  • ● developing scalable batch and streaming data processing solutions;
  • ● improving data quality, performance, reliability and observability;
  • ● working with orchestration, CI/CD and infrastructure tools;
  • ● collaborating with architects, engineers and client-side teams;
  • ● taking part in technical decisions, code reviews and solution design;
  • ● helping clients modernize their data platforms and move away from legacy solutions.

Our requirements

  • at least 3-4 years of experience in data engineering;
  • practical experience with at least one cloud platform: GCP or Azure;
  • hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks;
  • strong Python or Java/Scala skills;
  • strong SQL skills;
  • experience with building and maintaining data pipelines;
  • understanding of data modeling, data quality and scalable data architecture;
  • good communication skills;
  • English at B2+ level;
  • Polish at a communicative level.

Optional

  • Airflow;
  • Kafka or other streaming technologies;
  • dbt;
  • Spark;
  • Terraform;
  • CI/CD experience;
  • Docker and Kubernetes;
  • experience with cloud cost optimization;
  • experience in enterprise or long-term client projects;
  • cloud certifications.

What we offer

  • 100% remote work on B2B,
  • salary range: 20,000–30,000 PLN net + VAT / month,
  • 20 days off,
  • onboarding with a mentor,
  • training budget,
  • support in cloud certifications,
  • English lessons with a native speaker,
  • private medical care,
  • sports package,
  • team integrations and company trips,
  • possibility to change projects after some time,
  • work with experienced engineers, not a random project team,
  • long-term Big Data and Cloud projects for large organizations.
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