About the companyTabby builds financial products used by millions of users across the GCC. Data is a core part of how products, risk, finance, and operations are built and scaled. We work with large volumes of data under strict requirements for quality, cost efficiency, and regulatory compliance.

This internship is not educational by default. It is an engineering role with real responsibility.
ContextData engineers at Tabby work on analytics and data platforms that support business decisions, product development, and machine learning use cases. This includes data modeling, data pipelines, data quality, and consumption by multiple internal teams.

The internship is designed for strong early-career engineers who want to grow into data engineering roles. Interns are embedded into real data teams, work with production datasets, and are expected to meet engineering standards from day one.

Key Responsibilities
This is not a helper or reporting-only role. Interns work on real production tasks under senior review.

• Develop and maintain analytical data models
• Work with SQL-based transformations and data pipelines
• Contribute to data quality checks and validation logic
• Help build and maintain data products used by business and engineering teams
• Work with orchestration tools and scheduled data workflows
• Participate in discussions around data modeling, metrics, and definitions
• Investigate data issues and help identify root causes
• Improve reliability and cost efficiency of data processing

Skills, Knowledge & Expertise
Required

• Strong fundamentals in SQL
• Good working knowledge of Python for data processing
• Understanding of relational data models and basic data modeling concepts
• Understanding of how analytical data is used for reporting and decision-making
• Ability to read, understand, and modify existing data pipelines or models
• Experience with Git and standard development workflows
• Structured thinking and attention to data correctness
• Open to constructive feedback
• English sufficient for documentation and team communication

Strong plus

• Familiarity with analytical data modeling approaches (star schema, slowly changing dimensions)
• Experience with data transformation tools (dbt or similar)
• Experience with workflow orchestration tools (Airflow or similar)
• Familiarity with cloud data warehouses (BigQuery or similar)
• Exposure to BI tools or data visualization
• Interest in data quality, metrics, and data platform design

Eligibility

• Saudi nationals only
• Internship is structured and administered through HRDF
• We welcome both current students and fresh grads
• We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.

Format

• Paid internship
• Full integration into an engineering team
• Distributed engineering team across multiple countries
• Remote work is available from anywhere
• Office-based work is available in Riyadh
• Clear path to a junior data engineer or analytics engineer role based on performance

This internship is intentionally demanding and designed for candidates aiming for fast professional growth in data engineering.