Data Engineer Trainee

DEPT®; United States; Hybrid; USD 8,600 - 12,000; Full time

Benefits offered by this job

Paid four-month traineeship

Masterclasses and senior buddy

Hybrid working policy

DEPT Cares Month and global charity

Job summary

DEPT® is seeking a Data Engineering Trainee to join our Data Engineering team in Budapest within the EMEA Data & AI craft. You will work on real client projects from day one and grow toward junior data engineer responsibilities over four months.

You will attend masterclasses, have a dedicated senior buddy, and contribute to live projects for global brands from your first weeks, with hybrid working in place.

Qualifications

• Degree in CS/Data Science/Engineering or related field, or close to completion by Feb 2027.
• Some work experience in data/engineering or analytics is a plus.
• Strong SQL and Python foundations.

Responsibilities

• Build and maintain data pipelines with guidance from senior engineers.
• Write clean, tested SQL and Python.
• Develop data models in cloud data warehouses (BigQuery/Snowflake).
• Use dbt and Airflow to orchestrate ETL/ELT workflows.
• Add data quality checks and documentation for reuse.
• Collaborate in a team with Git and CI/CD; explain work to clients.

Skills

SQL

Python

Data modeling basics

Git

English communication

Education

Bachelor's degree in computer science, data science, engineering, mathematics or related field, or will complete before Feb 2027

Tools

dbt

Airflow

Spark

Git

Job description

Budapest, hybrid

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

ABOUT THE TRAINEESHIP

The Data Engineering Traineeship is a four-month, on-the-job program You join our Data Engineering team on day one and work on real client projects within your first weeks. Three things shape your four months:

• Real client work from the start. You'll contribute to live projects for brands such as Philips, Foot Locker, Nikon and Rituals, taking on more ownership each month. By month four you'll be working much like a junior data engineer.
• Masterclasses. A light, applied curriculum run by our engineers. Practical sessions on the tools and patterns we use with clients, not a repeat of university theory.
• A named buddy. A senior engineer who plans your week with you, reviews your work and is accountable for your progress.

ABOUT THE ROLE

You'll join the Data Engineering team in our EMEA Data & AI craft, working from Budapest, where our lead and senior data engineer are based. We design and build scalable, reliable data platforms and pipelines for enterprise clients across Europe, and work closely with our analytics, data science and AI teams on integrated solutions. You'll write real code that runs in client environments, with experienced engineers reviewing it and helping you grow.

WHAT YOU'LL DO

• Build and maintain data pipelines that ingest, transform and model client data, with guidance from senior engineers
• 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 so that others can trust and reuse your work
• Work in a team setup with Git, code reviews and CI/CD
• Explain what you've built to colleagues and clients

WHAT YOU BRING

• A degree in computer science, data science, engineering, mathematics or a related field, or you'll complete one before February 2027
• Some work experience in data, software or analytics engineering: a student job, an internship or up to around one year full-time
• Good SQL and working Python
• An understanding of data modeling basics and ETL/ELT concepts
• Exposure to at least one cloud platform (GCP, AWS or Azure), from work, coursework or your own projects
• Familiarity with Git
• Clear written and spoken English, and the ability to explain technical work in plain language

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
• preferable agency background

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. DEPT® has been a Certified B Corp® since 2021.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
• Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.