At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.
We are currently looking for a well-versed (Senior) Data Engineer to work with our EMEA and US customers and help them solve their data engineering, ML and/or ML Ops, and cloud migration puzzles.
"As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and who want to change industries and the world. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!" (Máté Gulyás, CEO)
What (exactly) will you do?
As a Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. The majority are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship, alone or along with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by mentoring more junior engineers, evaluating the quality of their work, and contributing to hiring best-in-class data engineers.
What does it take to fit the bill?
- Consultant mindset & passion for customer experience - you prioritize your work with the customer in mind and you seek to advise (rather than purely execute) your customers on the best-in-class technical solutions;
- Excellent communication & presentation skills - you can adjust your communication style, and articulate complex, technical concepts to all types of audiences;
- Solid software engineering foundations - you are a stack-agnostic senior software engineer, have significant experience working on Unix/Linux, and a strong understanding of how Distributed Systems work. Additionally, you are familiar with (and keen to follow) best-in-class software engineering principles;
- Data & Cloud are part of your engineering journey - you played a role in teams that designed and implemented data-intensive applications and you have strong SQL & NoSQL hands-on experience. Exposure to Real-Time Data Processing Systems, Apache Spark, and/or the Big Data ecosystem is an advantage;
- Mentoring skills & strong predisposition to knowledge-sharing - are things that excite you. We consider ourselves a learning organization and believe that these are meaningful tools for one to compound his/her impact across the team and the organization. Thus technical mentoring and/or people management hands-on experience is a big plus;
What do we offer?
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Educational benefits: There’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library.
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Flexible PTO and Working Hours: We’re flexible about your working routine and how many days you take off if it does not conflict with customer success, company goals, and the work you do.
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Flexible Office: It is up to you which days you spend in the office. However, as a strong community is one of DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average.
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30 Calendar Days of Paternity Leave (if applicable): We think it’s essential for both parents to be there when it matters the most.
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Private Medical Insurance: We provide a private medical package via Generali.
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Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.
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Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best.
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The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company, to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world sort out their data puzzles.
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A cozy and modern office in the heart of Budapest: Located in a vibrant, central part of the city (Opera/Oktogon), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are also on us.
The gross salary for this position ranges from gr. 1.200.000 - 1.700.000 HUF/month for a Medior and from gr. 1.700.000 - 2.300.000 HUF/month for a Senior role, depending on your assessed seniority level during the selection process.
Want to know more about us?
DATAPAO is a Databricks Gold Partner covering the full data and AI journey — architecture, delivery, and enablement — for global brands that refuse to settle for "good enough." We don't hand over a slide deck and walk away: our engineers embed directly with client teams, and our training arm has turned 20,000+ professionals into Databricks experts worldwide.
We're backed by Databricks itself — the creators of Apache Spark — and act as their delivery and training partner across Europe. That partnership has earned us Databricks EMEA Emerging Partner of the Year, and a spot on the Financial Times FT1000 list of Europe's fastest-growing companies for the third year running (2026).
We've delivered 200+ projects for clients like Norsk-Hydro, Richter, Egis, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name a few. As trainers, we've taught teams at NASDAQ, Imperial Brands, Accenture, Shell, UBS, Danske Bank, Pfizer, ASDA, Heineken, Hays, and Citigroup how to put data to work — not just talk about it.
Curious to see us in action? Check these out:
- Databricks Data + AI Summit 2026: The Biggest Announcements Explained (EN) by Máté Gulyás
- How Databricks Builds Production AI (EN) by Brooke Wenig, Head of AI FDE at Databricks — Data+AI Summit 2026
- TechnoAlpin × Datapao: How TechnoAlpin Modernized Its Data Platform on Databricks — a client's take on working with us
You can also follow us on LinkedIn for all the good stuff, or just hit our recruitment team at [email protected]
We're firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you're passionate about data and learning new things, you'll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except those we use to run our recruitment process) and retain your application for 2 years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.