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Salary
≈ $15k – $38k per year (Estimated)
Location
Remote (Bulgaria, Cyprus, Kazakhstan, Poland, Romania, Serbia, Ukraine, Armenia, Georgia, Latvia)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 27, 2026.

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DataArt is a global software engineering and consulting firm headquartered in New York that builds and modernises custom software, data platforms and cloud infrastructure for clients in finance, travel, healthcare, media and retail. Founded in 1997, it runs delivery centres across Europe, the Americas and Asia, including offices in Wroclaw, Lublin and Lodz in Poland and teams in India, and works with more than 400 enterprise clients. Its openings include senior .NET, Java, Python and frontend engineers, DevOps and site reliability engineers, data architects and data engineers, QA automation leads and solution consultants.

We are looking for an experienced Senior Snowflake Data Engineer to support the migration of a high volume database and help shape reliable, maintainable data workflows in Snowflake.

This initiative is centered on a large scale data platform migration from MySQL to Snowflake. The work includes end to end Snowflake architecture, resilient ingestion pipelines, and improved engineering practices such as CI and CD, testing, and version controlled SQL.

  • Plan and contribute to the migration of data workloads from MySQL to Snowflake
  • Design end to end Snowflake architecture for the target data platform
  • Develop and rebuild ETL and ELT workflows for hundreds of complex sales file formats
  • Build resilient ingestion pipelines for complex, messy, or irregular file formats
  • Contribute to CI and CD, testing, and version controlled SQL practices for data workflows
  • Support performance and cost optimisation across Snowflake workloads
  • Collaborate with cross functional teams on migration, architecture, and delivery activities
  • 3+ years of hands on Snowflake engineering experience, including tables, stages, file formats, tasks, streams, and Snowflake SQL
  • Hands-on experience with AWS
  • Strong understanding of ELT and ETL pipeline design in a cloud data warehouse environment
  • Proven experience migrating data workloads from relational databases such as MySQL or PostgreSQL to Snowflake or a similar platform
  • Experience with data transformation frameworks such as DBT, Airflow, Airbyte, or equivalent
  • Proficiency in SQL and at least one scripting language, with Python preferred
  • Experience working with complex, messy, or irregular file formats and building resilient ingestion pipelines
  • Solid understanding of CI and CD for data workflows using GitHub Actions, GitLab CI, or similar tools
  • Familiarity with data modelling best practices such as Kimball, Data Vault, or staging refined gold patterns
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