Data Platform Engineer

Description: Take full ownership of the data platform end-to-end, from integrations and pipelines to data quality and infrastructure. Develop the data platform from scratch using AI-native approaches, ensuring it scales with business growth. Requirements: 2+ years of experience in data engineering in a production environment. Proficient in Python and SQL with experience in building production solutions. Experience with data orchestration tools like Dagster or Airflow. Practical experience with analytical warehouses and data modeling (e.g., ClickHouse, dbt). Ability to identify problems, prioritize tasks, and drive solutions independently. Comfortable working in uncertain conditions and quickly learning new tools and domains. Understanding of the business context of data solutions and effective collaboration with teams. Benefits: Ownership of the data platform, influencing its development and priorities. Impact on business decisions through the data you build and maintain. Broad role encompassing data engineering, development, and infrastructure. Opportunity to influence technical direction and explore new solutions. Short turnaround from idea to implementation. Remote work format, relocation package, training budget, medical insurance, and 20 days of paid vacation.