# Data Engineer Trainee

**Company**: DEPT
**Location**: Budapest
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/dept/jobs/8336469?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_31cd4894-c1b

## 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

## Skills

### Required
- SQL
- Python
- data modeling
- ETL/ELT
- Git
- cloud platforms

### Nice to have
- dbt
- Airflow
- Spark
- Docker
- CI/CD pipelines
- cloud certification

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/dept/jobs/8336469?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)