Senior Data Engineer (Snowflake)

Our requirements

• Ability to work partially within the U.S. time zone (during onboarding: calls up to 10:00 PM CET a few times a week; later: up to 5/6/7 PM CET)
• 6+ years of experience in Data Engineering, with Snowflake as a primary data platform.
• Proven hands-on experience optimising Snowflake warehouses and storage for performance and cost efficiency in production environments.
• Experience building and optimising pipelines processing very large datasets, including full transaction-level histories rather than samples.
• Strong SQL and Python skills, with the ability to own data pipelines end to end.
• Practical experience with data quality engineering, including validation, reconciliation, monitoring, and ongoing data reliability.

Optional

• Experience working with financial, market, transaction-level, or time-series data.
• Familiarity with accuracy and tracking metrics such as correlation and mean absolute error (MAE).
• Experience integrating and maintaining third-party data feeds or working with data licensing and data-sharing arrangements.
• Practice with dbt or similar data transformation frameworks on Snowflake.

Your responsibilities

• Build and maintain a Snowflake-based evaluation pipeline to measure the accuracy of new datasets, both independently and combined with existing data.
• Implement evaluation metrics such as correlation and mean absolute error (MAE) to compare estimated company revenue against reported results.
• Optimise Snowflake performance and compute costs through warehouse sizing, clustering, materialisation, query optimisation, and data pruning.
• Develop automated processes for collecting, mapping, validating, and maintaining ground truth company revenue data.
• Implement data quality checks, reconciliation rules, and monitoring to identify inconsistencies before they affect downstream reporting.
• Evaluate new datasets as they become available and investigate data quality issues.
• Own the pipeline end-to-end, making technical decisions and adapting the implementation as project requirements evolve.
• Build on existing prototypes and previous work to deliver a reliable, production-ready solution.

About the project

This is how we organize our work

This is how we work on a project

• active monitoring
• documentation
• integration tests
• test automation

What we offer

• Private medical care
• Multisport card
• Friendly, informal atmosphere, and direct contact with everyone in the company
• Modern technologies

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities
• flexible working time
• extra social benefits
• baby layette
• school layette
• employee referral program
• charity initiatives
• Gift vouchers for kids (birthdays, Christmas, Child's Day)

Recruitment stages

• 1.
  HR call (max 15 min.)
• 2.
  Technical interview with the Acaisoft team (max 45 min.)
• 3.
  Call with our Client (+/- 60 min.)

ACAISOFT POLAND Sp. z o.o.