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Employment type in the employer’s posting: Fixed termFrom the employer’s posting
Job title: Data Engineer Trainee
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
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
Good SQL and working Python
Hands-on experience with dbt, Airflow or Spark
Familiarity with Docker or CI/CD pipelines
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
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 5
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
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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.
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.
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:
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
WHAT YOU BRING
Nice to have
WE OFFER
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.
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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.
- 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.
No clear work-authorization passage found. Eligibility is unconfirmed.