Back to jobs

Data Engineer Trainee

Pay
Pay not listed
Work setting
Not stated
Employment
Fixed-term — employment source
Employment type in the employer’s posting: Fixed term
From the employer’s posting

Before you apply

New graduates
Entry levelJob title: Data Engineer Trainee

What you’ll work on

Full posting

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.

  • Build and maintain data pipelines that ingest, transform and model client data

  • Write clean, tested SQL and Python

  • Develop data models in cloud warehouses such as BigQuery or Snowflake using dbt

  • Help orchestrate and monitor workflows with tools such as Airflow

  • Add data quality checks, tests and documentation for others to reuse

From the employer’s posting
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.
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 so that others can trust and reuse your work

What you’ll bring

All qualifications

Core experience

  • Good SQL and working Python
  • Hands-on experience with dbt, Airflow or Spark
  • Familiarity with Docker or CI/CD pipelines
Qualification wording
Good SQL and working Python
Hands-on experience with dbt, Airflow or Spark
Familiarity with Docker or CI/CD pipelines

About DEPT®

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.

In the employer’s words · Read in context

Apply at DEPT®

Posting record

Report an error

Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20265 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 5

Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

DEPT® is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • dbt
  • Docker
  • GCP
  • Snowflake
  • Spark
  • Airflow
Where the posting names them
- 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
- 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
- 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
- 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
Nice to have - Hands-on experience with dbt, Airflow or Spark - Familiarity with Docker or CI/CD pipelines
- Hands-on experience with dbt, Airflow or Spark - Familiarity with Docker or CI/CD pipelines - Comfort working in a macOS environment
- 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

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Budapest

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.
More source context
- 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.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.