Intern Data Engineer
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Key skills for this role
Role Overview
This is an engineering internship with real responsibility, not a course or shadowing program.
Interns join a real data team, work with production datasets, and are expected to meet engineering standards from day one.
The role covers data modeling, data pipelines, data quality, and data consumption for internal teams.
Key Skills for This Role
Full Job Posting
About the company
Tabby builds financial products used by millions of users across the GCC.
Data supports product, risk, finance, and operations work under requirements for quality, cost efficiency, and regulatory compliance.
Role context
This is an engineering internship with real responsibility, not a course or shadowing program.
Interns join a real data team, work with production datasets, and are expected to meet engineering standards from day one.
The role covers data modeling, data pipelines, data quality, and data consumption for internal teams.
Key responsibilities
- 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 about data modeling, metrics, and definitions.
- Investigate data issues and help identify root causes.
- Improve the reliability and cost efficiency of data processing.
Required skills and knowledge
- Strong fundamentals in SQL.
- Good working knowledge of Python for data processing.
- Understanding of relational data models and basic data modeling concepts.
- Understanding of analytical data use 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, attention to data correctness, and openness to constructive feedback.
- English sufficient for documentation and team communication.
Strong plus
- Familiarity with star schemas and slowly changing dimensions.
- Experience with dbt or similar data transformation tools.
- Experience with Airflow or similar workflow orchestration tools.
- Familiarity with BigQuery or similar cloud data warehouses.
- Exposure to BI tools or data visualization.
Eligibility and engagement
- The internship welcomes current students and fresh graduates.
- The program requires full-time-level engagement and is not part-time.
- Students may align class or exam time with their mentor in advance.
Internship details
- The internship lasts six months and starts in autumn 2026.
- The internship is paid and funded by Tabby.
Development opportunity
- Interns receive full integration into an engineering team.
- The internship may lead to a junior data engineer or analytics engineer role, depending on performance.
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