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Data Engineer

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

What you’ll work on

Full posting
  • Design and implement scalable, reliable data architectures and pipelines for enterprise clients

  • Help maintain technical standards and best practices for data engineering across EMEA

  • Participate in guiding client engagements with senior contributors

  • Work with the broader Data & AI practice to deliver integrated solutions

  • Keep up with emerging data engineering technologies and methods

From the employer’s posting
Design and implement scalable, reliable data architectures and pipelines for enterprise clients.
Help maintain technical standards and best practices for data engineering across EMEA.
Participate in guiding client engagements with senior contributors.
Work closely with the broader Data & AI practice to deliver integrated solutions.
Stay ahead of emerging technologies and methodologies in the data engineering space.

What you’ll bring

All qualifications

Core experience

  • Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes.
  • Hands-on experience with cloud platforms (GCP, AWS, or Azure) and their data-specific services.
  • Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT).
  • Experience with modern data warehouse technologies such as BigQuery, Snowflake, or Redshift.
  • Good understanding of data modeling, data governance, and data quality principles.
  • Excellent communication skills with the ability to translate complex technical concepts for business stakeholders.
Qualification wording
Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes.
Hands-on experience with cloud platforms (GCP, AWS, or Azure) and their data-specific services.
Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT).
Experience with modern data warehouse technologies such as BigQuery, Snowflake, or Redshift.
Good understanding of data modeling, data governance, and data quality principles.
Excellent communication skills with the ability to translate complex technical concepts for business stakeholders.
Education & alternatives
- Experience working in an agency or consulting environment is highly advantageous. - Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience). WE OFFER
Apply at DEPT®

Posting record

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Status in our records
Live
First seen by us
Oct 17, 202618 days ago
Recorded sightings
68
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 18

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.

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
  • GCP
  • Redshift
  • Snowflake
  • Airflow
Where the posting names them
- Hands-on experience with cloud platforms (GCP, AWS, or Azure) and their data-specific services. - Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT). - Experience with modern data warehouse technologies such as BigQuery, Snowflake, or Redshift.
- Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes. - Hands-on experience with cloud platforms (GCP, AWS, or Azure) and their data-specific services. - Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT).
- Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT). - Experience with modern data warehouse technologies such as BigQuery, Snowflake, or Redshift. - Good understanding of data modeling, data governance, and data quality principles.

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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, Zagreb, Split, 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.

DEPT®/AI has a single mission: to make the best work in the industry using Data & AI to enhance everything we do. This role sits within our Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT® teams around the world across different services – from commerce, to full-funnel media, content engineering to internal operations. You will be solving some of the hardest and most challenging problems facing some of the best loved brands in the world – and doing this alongside an experienced team.
This role is part of our EMEA Data craft team, an integrated craft across Europe driving data engineering, data science, and AI initiatives. We combine our expertise in data architecture, analytics, and AI to deliver exceptional data-driven solutions that build lasting relationships with our clients like Footlocker, Nikon, Rituals, and Philips.

 

JOB PURPOSE

The Data Engineer is responsible for delivering technical excellence and implementing high-quality data engineering solutions across EMEA. Sitting within our Data & AI practice, you will drive the execution of complex client projects and help set the technical standards for our engineering work. You will collaborate with cross-functional teams to create scalable, efficient data architectures that power our AI and data analytics solutions. This role requires a technically excellent professional with proven experience in implementing enterprise-scale data solutions.

As part of the EMEA Data craft team, you will be responsible for executing our data engineering strategy and delivering technical excellence on complex client projects. To be successful, you must combine deep technical expertise with business acumen. You'll work closely with clients to understand their business challenges and translate these into robust data engineering solutions. You'll guide technical decision-making, establish best practices, and ensure our capabilities remain at the cutting edge of industry standards. An entrepreneurial spirit, excellent communication skills, and the ability to bridge the gap between technical solutions and business stakeholders are essential.


WHAT YOU’LL DO:

  • Design and implement scalable, reliable data architectures and pipelines for enterprise clients.
  • Help maintain technical standards and best practices for data engineering across EMEA.
  • Participate in guiding client engagements with senior contributors.
  • Work closely with the broader Data & AI practice to deliver integrated solutions.
  • Stay ahead of emerging technologies and methodologies in the data engineering space.



WHAT YOU BRING:

  • Extensive experience in data engineering with a proven track record of delivering complex data initiatives.
  • Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes.
  • Hands-on experience with cloud platforms (GCP, AWS, or Azure) and their data-specific services.
  • Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT).
  • Experience with modern data warehouse technologies such as BigQuery, Snowflake, or Redshift.
  • Good understanding of data modeling, data governance, and data quality principles.
  • Excellent communication skills with the ability to translate complex technical concepts for business stakeholders.
  • Critical thinking with the ability to contribute to technical roadmaps.
  • Experience working in an agency or consulting environment is highly advantageous.
  • Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

 

WE OFFER

  • Great benefits that vary based on the country from which you choose to apply. Feel free to ask about the specific benefits available in your location. 
  • A flexible, hybrid working policy.
  • A rewarding, supportive and healthy company culture.
  • 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.

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Location & working pattern

Budapest

Budapest, Zagreb, Split, 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
- Great benefits that vary based on the country from which you choose to apply. Feel free to ask about the specific benefits available in your location. - A flexible, hybrid working policy. - A rewarding, supportive and healthy company culture.
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