About the company
Tabby 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 is not a course and not a shadowing programme. It is an engineering role with real responsibility.
Context
Data engineers at Tabby work on the analytics and data platforms behind business decisions, product development and machine learning use cases. That covers data modelling, data pipelines, data quality and consumption by several internal teams.
The internship is designed for strong early-career engineers who want to grow into data engineering roles. Interns join a real data team, work with production datasets and are expected to meet engineering standards from day one.
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
- Take part in discussions about data modelling, metrics and definitions
- Investigate data issues and help identify root causes
- Improve the reliability and cost efficiency of data processing
Required
- Strong fundamentals in SQL
- Good working knowledge of Python for data processing
- Understanding of relational data models and basic data modelling 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 modelling 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 visualisation
- Interest in data quality, metrics and data platform design
What we do not expect
- Expert-level SQL or Python
- Prior professional data engineering or analytics engineering experience
- Mastery of all listed tools (dbt, Airflow, BigQuery, BI platforms)
- Deep knowledge of data warehouse internals or distributed data processing
Eligibility
- Saudi nationals only
- We welcome both current students and fresh graduates
- We expect a full-time level of engagement. The programme is not part-time. Students can align time for classes or exams with their mentor in advance, but performance, ownership and involvement are expected at a full-time level
- Six months, starting autumn 2026
- Paid internship, funded by Tabby
- Full integration into an engineering team
- Distributed engineering team across multiple countries
- Saudi passport required.
- A path to a junior data engineer or analytics engineer role afterwards. That is our intent and what we aim for, not a guarantee: it depends on how the internship goes
This internship is intentionally demanding and designed for candidates aiming for fast professional growth in data engineering.
