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Tabby is a fintech platform that enables shoppers to split payments with no interest or fees, serving over 17 million users across the GCC region and beyond. The company partners with 40,000+ global brands including Amazon, Noon, IKEA, and SHEIN, processing over $10 billion in annual transaction volume. Valued at $4.5 billion with $1 billion+ in funding, Tabby is the largest and fastest-growing fintech in the GCC.
We are seeking a Senior Data Engineer to join the Data Services Team. You will design and develop critical internal data infrastructure, including a Feature Store and other data services that power the organization. Your work will directly enable data-driven decision-making across the company.
Key responsibilities include:
- Developing and maintaining a Feature Store and future data services
- Building and optimizing EL/ELT/ETL pipelines for high-volume data processing
- Integrating new tools and technologies for data processing and storage
- Designing scalable, high-performance data systems
- Collaborating with data scientists, analysts, and backend teams
You bring 3-5 years of experience as a Data Engineer, ML Engineer, or Backend Engineer with proven expertise in building high-load, scalable data systems. You have strong fundamentals in Python and SQL, understand event-driven architectures and streaming pipelines, and are familiar with modern data stack tools including Airflow, Debezium, BigQuery/Clickhouse, PostgreSQL/CockroachDB, Docker, and GCP. You understand REST/gRPC APIs and message brokers. Bonus experience includes Go development, modern data storage systems (relational, MPP, NoSQL), and Google Cloud Platform expertise.
