Job description

Senior Data Engineer role within Tabby, a fast-growing fintech platform operating in Saudi Arabia and the GCC region, serving over 15 million users and 40,000+ global merchants including Amazon, Noon, IKEA, SHEIN, and others, enabling buy-now-pay-later financial services with no interest or fees. The company generates over $10 billion annual transaction volume and is valued at $4.5 billion, backed by over $1 billion in funding. The role focuses on building and evolving a modern corporate data platform integrating Data Warehouse (DWH), streaming systems, and internal data services such as Feature Store to support analytics, machine learning, and operational workloads. Responsibilities include designing scalable data architectures, implementing ELT/ETL pipelines, managing distributed data processing systems, ensuring data quality and governance, and supporting both batch and real-time streaming data pipelines. The role requires strong expertise in data architecture patterns including Kimball, Inmon, Medallion, and Data Mesh, as well as deep knowledge of data modeling techniques such as SCD forms, normalization, star schema, and Data Vault. The engineer will work with cloud-native infrastructure on Google Cloud Platform and modern data stack tools like Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker, and GitLab CI/CD. The role also involves integrating event-driven systems using tools like Debezium and message brokers, optimizing performance and cost in distributed systems, contributing to system design decisions, and collaborating with analytics, risk, and ML teams to deliver high-quality datasets and data services across the organization.