Data Platform Engineer

📋 Description

• Own the data platform end-to-end: from source integrations and pipeline building to models
• Ensure data quality across the entire journey from product to dashboard - identify issues, get to
• Develop the analytical warehouse and data models so teams can access reliable, understandable data.
• Deliver solutions that natively work with agents: from building integrations to testing
• Automate processes and build internal tools that simplify data work and improve system reliability.
• Handle infrastructure tasks related to CI/CD, permissions, cloud resources, and scaling the data

🎯 Requirements

• 2+ years of experience in data engineering in a production environment.
• Proficient in Python and SQL with experience building production solutions.
• Experience with data pipeline orchestration - Dagster, Airflow, or similar, and understanding of
• Practical experience with analytical warehouses and data modeling - ClickHouse, BigQuery
• Ability to independently identify problems, formulate approaches, prioritize work, and drive
• Comfortable working with ambiguity and ready to quickly dive into new tools, domains, and tasks.

🎁 Benefits

• Ownership over the data platform - you can influence its development, processes, and priorities
• Impact on business decisions - the data you build and maintain is used for decisions on products
• Broad role - core data engineering (~70%), plus development and infrastructure: a year here
• Opportunity to influence the technical direction - change tools and approaches, test new solutions
• Short path from idea to implementation - days, not quarters of approvals: justify, build, ship.
• Remote work format, office in Kyiv, relocation package, learning budget, English classes, medical