About the Role
The company builds financial products used by millions of users across the GCC, with data being a core part of the development and scaling of products, risk, finance, and operations. As an intern Data Engineer, you will engage in a demanding engineering role with real responsibility, contributing directly to the analytics and data platforms that drive business decisions, product development, and machine learning use cases. This internship is structured for strong early-career engineers who aspire to grow into data engineering roles, offering the opportunity to work with production datasets and meet engineering standards from day one.
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Key Responsibilities
Interns are expected to work on real production tasks under senior review, including:
- 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
- Engage in discussions about data modelling, metrics, and definitions
- Investigate data issues and identify root causes
- Improve the reliability and cost efficiency of data processing
Skills, Knowledge & Expertise
Candidates should demonstrate the following skills and knowledge:
- 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
- Openness to constructive feedback
- Proficiency in English sufficient for documentation and team communication
Preferred Skills
While not mandatory, the following skills are beneficial:
- 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
Mandatory Preferences
We are particularly interested in candidates who demonstrate:
- 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
Additional Requirements
- Saudi nationals only
- Open to both current students and fresh graduates
- Full-time level of engagement required; while students can align their schedule for classes or exams with their mentor in advance, performance, ownership, and involvement are expected at a full-time level
Job Benefits
- Six-month internship starting autumn 2026
- Paid internship, funded by the company
- Full integration into an engineering team
- Opportunity to work with a distributed engineering team across multiple countries
- A path to a junior data engineer or analytics engineer role afterward, depending on internship performance
This internship is intentionally demanding and designed for candidates eager for fast professional growth in data engineering.
