Description
We are looking for a Data Engineer Trainee to join our Data Engineering team in Budapest. As a trainee, you will work on real client projects from day one and contribute to live projects for brands such as Philips, Foot Locker, Nikon, and Rituals.
Responsibilities:
- Build and maintain data pipelines that ingest, transform, and model client data
- Write clean, tested SQL and Python
- Develop data models in cloud data warehouses such as BigQuery or Snowflake, using tools like dbt
- Help orchestrate and monitor workflows with tools such as Airflow
- Add data quality checks, tests, and documentation
- Work in a team setup with Git, code reviews, and CI/CD
- Explain what you've built to colleagues and clients
Requirements:
- A degree in computer science, data science, engineering, mathematics, or a related field
- Some work experience in data, software, or analytics engineering
- Good SQL and working Python
- Understanding of data modeling basics and ETL/ELT concepts
- Exposure to at least one cloud platform (GCP, AWS, or Azure)
- Familiarity with Git
- Clear written and spoken English
Nice to have:
- Hands-on experience with dbt, Airflow, or Spark
- Familiarity with Docker or CI/CD pipelines
- Comfort working in a macOS environment
- A cloud certification
- Projects you can show us, such as a GitHub repository
We offer:
- A paid four-month traineeship
- Masterclasses and a dedicated senior buddy
- Real work for global brands from your first weeks
- Hybrid working policy
- A reputation for doing good
- Awesome clients
- The opportunity for possibility