Senior Data Engineer (Saudi National)
Senior Data Engineer
| Full-time | On site | Riyadh
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.
Tabby is looking for a Senior Data Engineer to help build and evolve its core data platform, combining modern data warehouse capabilities with internal data services such as a Feature Store. You will work across DWH, streaming, and data services domains to power analytics, ML, and operational use cases across the company.
You will join a high-impact, high-growth environment and collaborate with world-class engineers, analysts, and ML teams to design and deliver scalable data solutions that are deeply integrated into Tabby's products and internal tools.
What you’ll bring
- 3–5+ years of experience as a Data Engineer, ML Engineer, or Backend Engineer working on data-intensive systems.
- Proven experience in DWH development and maintenance for business users, analysts, and ML engineers.
- Strong background in designing and operating high-load, scalable data processing and storage systems.
- Solid understanding of data architecture patterns such as Kimball, Inmon, Medallion, and Data Mesh.
- Hands-on experience with data modeling concepts: SCD forms, normal forms, star schema, Data Vault.
- Proficiency in Python following best practices for clean, testable, and maintainable code.
- Advanced SQL skills and best practices for working with large datasets and complex transformations.
- Familiarity with system design best practices for distributed data platforms and services.
- Experience with modern data stack tools such as Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker, GitLab CI/CD, and Google Cloud Platform.
- Experience with event-driven systems and streaming pipelines, including tools like Debezium and message brokers/queues.
- Strong communication skills in English (B2 level or higher) and the ability to work independently in a remote setup.
Nice to have
- Experience with REST and gRPC APIs as well as message brokers and queues for integrating data services.
- Experience with modern systems of data storage: relational, MPP, and NoSQL databases.
- Hands-on experience with Google Cloud Platform and its data services.
- GO development experience for building high-performance data services.
- Work alongside a high-performing, international engineering team in a global fintech unicorn
- Stock options (ESOP) in a fast-scaling, pre-IPO company
- Health Insurance
- Competitive salary and other bonuses
