Requirements

• 2-3 years of experience as a Data Developer, Data Engineer, or in a similar role.
• Proficiency with DBT for data transformation and modeling.
• Strong SQL skills, with hands-on experience in Postgre SQL.
• Familiarity with data APIs and integration techniques.
• Experience working with cloud platforms, such as Google Cloud Platform (GCP) or Azure.
• Strong problem-solving skills with a creative and analytical mindset.
• Self-motivated and able to work independently, with a proactive approach to challenges.

Will be a plus

• Experience with CI/CD pipelines for automated data workflows.
• Familiarity with Python or other scripting languages.
• Knowledge of data warehousing solutions (e.g., Big Query, Snowflake).

Responsibilities

• Develop, maintain, and optimize data pipelines and models using DBT and Postgre SQL.
• Integrate external data via APIs to ensure seamless data ingestion and availability.
• Collaborate with business stakeholders to understand data needs and deliver practical solutions.
• Monitor data flows to identify and resolve performance or reliability issues promptly.
• Manage deployments and workloads in cloud environments such as GCP and Azure.
• Implement data governance best practices to ensure data quality, security, and compliance.

What we offer

• Direct cooperation with already successful, long-term and growing project;
• Covered 20 days of vacations and 10 days of sick leave;
• Your PE bookkeeping will be maintained by a professional accountant;
• Attendance of conferences and tech events in Ukraine and/or Europe;
• Last but not least — fair compensation for your efforts.