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Tabby is a fintech platform that enables users to split payments online and in-store with no interest or fees. The company serves over 17 million users and partners with 40,000+ global brands including Amazon, Noon, IKEA, and SHEIN. Tabby processes over $10 billion in annual transaction volume and is valued at $4.5 billion.
We are hiring a Data Engineer to join our Data Warehouse (DWH) team. You will be responsible for designing, building, and maintaining our corporate data warehouse using cloud technologies and industry best practices. Your work will directly support business users, data analysts, and machine learning engineers across the organization.
Key responsibilities include:
- Developing and maintaining the data warehouse infrastructure
- Building data synchronization pipelines between internal and external systems
- Creating EL/ELT/ETL pipelines for reliable data ingestion
- Designing and implementing data collection tools
- Integrating new tools and practices for data governance and quality
- Optimizing data infrastructure costs
You will work with modern data stack technologies including Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, and GitLab CI/CD on Google Cloud Platform. You should have strong expertise in data modeling (SCD, Star Schema, Data Vault), system design, and SQL/Python development. Experience with DWH architectures (Kimball, Inmon, Medallion, Data Mesh) is essential.
Bonus skills include REST/gRPC APIs, message brokers, and experience with modern data storage systems (relational, MPP, NoSQL).
