About the Role
At the company, we focus on building the data foundations that make AI useful. As a Working Student in Data Engineering, you will delve into how data transitions from operational systems into reliable dashboards or serves as trustworthy input for AI applications. This role is designed for individuals who are passionate about Python, SQL, and understanding system integrations.
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What You’ll Work On
In conjunction with experienced engineers, your responsibilities will include:
- Helping to build Python and SQL pipelines that ingest, transform, and validate data from APIs, databases, and files.
- Developing data models and transformations for analytics and AI applications.
- Adding data quality checks, automated tests, and monitoring to enhance pipeline reliability.
- Investigating pipeline failures and assisting in improving logging and troubleshooting.
- Contributing to cloud data platforms and lakehouse projects as per engagement requirements.
- Documenting your work and collaborating via Git, pull requests, and code reviews.
You’ll begin with real tasks and take ownership from day one.
What You Bring
- Hands-on practical expertise in Python, databases, and data pipelines.
- A thoughtful approach to debugging and a willingness to ask questions.
- Good English communication skills.
- Familiarity with AWS, dbt, Airflow, Docker, Snowflake, Databricks, and Apache Iceberg is advantageous but not mandatory.
You do not need to know our entire stack; we prioritize strong fundamentals, curiosity, and a genuine enthusiasm for building things.
What You Can Expect
- The opportunity to work remotely within the United Arab Emirates.
- Exposure to modern cloud platforms, data architecture, and the foundations of production AI.
- A small team environment where your ideas are welcomed and you can see the impact of your contributions.
