Senior Data & ETL Analyst

Description: Own data engineering-lite work for custom client deliverables, including sourcing, cleaning, and transforming data. Design and maintain ETL pipelines, write production Python scripts, and integrate with ad-platform APIs. Mentor junior team members and collaborate with analytics teams on custom deliverables. Requirements: Advanced SQL and Python skills. Real ETL experience, including data cleaning and deduplication. API integration experience and ability to manage technical work with minimal oversight. Nice to have: Exposure to identity-resolution data, familiarity with warehouse tools (e.g., Snowflake), and basic stats or marketing-science literacy. Benefits: Work with talented and collaborative colleagues. Access to a learning platform for training and tools. 26 days of vacation, wellness benefits, and paid parental leave. Comprehensive medical, life, and business travel insurance. Participation in Poland's Employee Capital Plan (PPK). Stock options as part of the equity-sharing program. Work from home stipend for home office setup.