company_site
Intern Data Engineer
Tabby
KSA
Internship
Intern
Onsite
Discovered 1 weeks ago
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
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Ready to ScanKey skills for this role
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
Key Skills for This Role
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
Full Job Posting
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
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)
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