Data Engineer: AI-Driven Cloud Pipelines (GCP/Snowflake)

Workday, Inc.

Warszawa

Hybrid

PLN 169,000 - 253,000

Full time

2 days ago
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Job summary

Workday, Inc. in Warsaw, Poland, is seeking a Data Engineer to design and operate data systems, pipelines, and AI-enabled dashboards. You’ll build scalable data architectures, automate data flows, and deploy production-grade apps on Google Cloud, collaborating with global stakeholders to address strategic challenges.

The role emphasizes Python, Snowflake, and cloud-first delivery, with strong English communication and a readiness to work across multinational teams in a flexible, hybrid setup.

Qualifications

  • 4+ years in data engineering or software development.
  • 3+ years scripting, data pipelines, or backend development with Python.
  • 2+ years building on Google Cloud Platform (GCP).
  • 2+ years modeling, querying, and managing data in Snowflake.
  • Professional fluency in English (written and verbal).

Responsibilities

  • Design and build architectures to capture, store, and use structured and unstructured data.
  • Develop infrastructure to automate connections between enterprise systems and tools.
  • Turn cloud-code prototypes into production-ready web apps on GCP.
  • Apply ETL to connect, prepare, and manipulate large datasets.
  • Collaborate with global teams to address business challenges with technology.
  • Support reporting, education, and ongoing team development.

Skills

Data engineering
Python
GCP
Snowflake
English
AI/ML tools
Sigma dashboards
AWS
Cloud architecture

Tools

GCP
Snowflake
AWS
Sigma

Job description

Workday, Inc. in Warsaw, Poland, is seeking a Data Engineer to design and operate data systems, pipelines, and AI-enabled dashboards. You’ll build scalable data architectures, automate data flows, and deploy production-grade apps on Google Cloud, collaborating with global stakeholders to address strategic challenges.

The role emphasizes Python, Snowflake, and cloud-first delivery, with strong English communication and a readiness to work across multinational teams in a flexible, hybrid setup.

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