Intern Data Engineer

AI in this role

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.

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
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

Skills, Knowledge & Expertise

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

How we rate this

Intern Data Engineer at Tabby rates 9 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.