Data Engineer

Tabby is a leading fintech company dedicated to creating financial freedom by reshaping how people shop, earn, and save. We are currently seeking a skilled Data Engineer to join our DWH team and contribute to the development of our corporate data warehouse using advanced cloud technologies and industry best practices.

Key responsibilities

• Develop and maintain DWH solutions tailored for business users, analysts, and ML engineers.
• Manage data synchronization processes between various internal and external systems.
• Design and implement robust EL, ELT, and ETL pipelines for efficient data collection.
• Integrate modern tools and practices to ensure high standards of data governance and quality.
• Focus on continuous cost optimization within our data infrastructure.

Requirements

• At least 3 years of professional experience in a Data Engineering role.
• Strong proficiency in DWH development, maintenance, and data modeling techniques.
• Expertise in Python and SQL, including adherence to industry best practices.
• Solid understanding of system design and modern data architectures.
• Familiarity with tools such as Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, and GCP.

What we offer

• Full-time B2B contract with a fully remote working model.
• Access to stock options (ESOP) in a fast-scaling, pre-IPO fintech unicorn.
• Flexible benefits package for wellness, travel, or professional development.
• Opportunity to collaborate with a high-performing, international engineering team.
• 22 days of paid leave annually to support work-life balance.