Senior Data Engineer (Snowflake)

TL;DR

Senior Data Engineer (Snowflake/DBT): Designing and delivering scalable data pipelines and transformation workflows for a commercial analytics initiative with an accent on data modernization and performance optimization. Focus on building ETL/ELT workflows using Snowflake and DBT, implementing incremental processing patterns, and ensuring high data quality.

Location: Must be based in Ukraine

Company

Global IT services provider with over 6,000 specialists offering business and tech advisory, product development, and software engineering.

What you will do

• Design, build, and maintain scalable ETL/ELT pipelines and transformation workflows.
• Develop and optimize data products to support commercial analytics use cases.
• Modernize and standardize the data stack utilizing Snowflake and DBT.
• Implement incremental data processing patterns to improve system efficiency and performance.
• Ensure high data quality through rigorous testing, validation, and monitoring practices.
• Collaborate with business and technical stakeholders to translate requirements into data solutions.

Requirements

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake and practical experience with DBT.
• Advanced SQL skills, including complex transformations and performance optimization.
• Solid understanding of Kimball and/or Data Vault data modeling techniques.
• Experience with cloud platforms, preferably AWS, and version control systems like Git.
• English: Upper-intermediate (B2) or higher required.

Culture & Benefits

• Commitment to diversity, equity, and inclusion in recruitment and leadership.
• Opportunities for professional career development and growth.
• Collaborative environment within a large, global team of specialists.

Hiring process

• Application review and Talent Acquisition interview to align on goals.
• Technical interview focusing on problem-solving and domain expertise.
• Customer interview for final alignment with client-specific needs.