Senior Data Engineer (Saudi National)

Senior Data Engineer

Key Responsibilities

• 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.
• ### **What you’ll bring:**
• **What you’ll bring:*** Design, build, and maintain Tabby’s corporate data warehouse to support business users, analysts, and ML engineers.
• Develop and evolve internal data services such as a Feature Store and other high-impact data products.
• Build and operate robust EL/ELT/ETL pipelines for both batch and streaming use cases.
• Integrate new tools and practices for data processing, storage, governance, and data quality across the platform.
• Implement and maintain reliable data synchronization between internal and external systems.
• Design and support high-load, scalable data processing and storage solutions, ensuring performance and reliability.
• Contribute to the architecture of the data platform, including technology choices and system design decisions.
• Optimize infrastructure and data workflows with a focus on cost efficiency in the cloud.
• Collaborate closely with analytics, risk, and ML teams to understand data needs and deliver high-quality datasets and services.
• N**ice 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.
• ### **What we offer:**
• 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

About Tabby