DATAPAO
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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 passionate early-career professionals and recent graduates to join our October cohort for an intensive, 6-month training program to become Data Engineering (with Databricks) Consultants.
We don’t expect you to be a Data Engineer on day one, but we do expect you to have the drive to become one. Upon completing the program, you’ll work within our EMEA and US customer teams to help them solve their data engineering, ML, MLOps, GenAI, LLMOps, and cloud migration puzzles.
DATAPAO's Data Engineering Academy is a 6-month intensive training program launching in early October 2026. It is designed to scale you up into a top-notch Data Engineer (with Databricks) Consultant.
The program is put together and run by consultants and technical Instructors who have delivered Databricks projects and enabled data professionals across EMEA for years. This means you will have the opportunity to learn from the world-class consultants and instructors who built DATAPAO's Gold Partner legacy within the Databricks Partner Ecosystem.
Phase 1 (Month 1-3)
This will be a high-intensity learning phase. You’ll follow a bi-weekly sprint model: one week of deep-dive technical classes, followed by one or two weeks of hands-on project delivery. You’ll master the stack we use for our global clients, specifically Apache Spark and Databricks on AWS/Azure.
Phase 2 (Months 4-6)
During this period, you’ll gradually move into complex capstone projects and also start shadowing our senior consultants on real-life engagements. The phase focuses on building your consulting skills by delivering simulated projects and shadowing real calls to observe how we navigate requirements and advise stakeholders. You will also have the opportunity to contribute to internal strategic projects, eg. building an automatic migration tool.
Post-Graduation
Once you graduate, you’ll officially join our project teams. Over time, as your seniority grows, you’ll transition into delivering and/or leading complex end-to-end projects across our entire global portfolio.
What does it take to fit the bill?
- You have solid engineering foundations: a BSc or MSc (preferably in a STEM field) and a good grasp of coding in either Python or Java. This is essential, as the program is optimized to level you up in Data Engineering rather than teach basic programming.
- You have proven work experience: at least 1 long-term internship completed (ideally in Software Engineering, BI Development, or a similar field) or real-life work experience as a Software or Data Engineer (but ideally not more than 18 months). While we value work experience greatly, the program is focused on enabling Junior, high-potential talent to become world-class consultants rather than modeling already well-established ways of working.
- You thrive to learn new things: be it technical knowledge or soft skills. As a Junior, we'd expect that curiosity is your second nature. That, coupled with a good level of self-knowledge, will set you up for success in our environment.
- You love solving problems & naturally take ownership: a complex puzzle doesn't make you anxious but rather motivates you to do your best work. And this is because you believe that impact should not be judged in years of experience but in one's commitment and ability to step up and stretch beyond their job title.
- You are a strong communicator & fluent in English: meaning that you can adjust your communication style and articulate complex technical concepts (in English) to all types of audiences.
What do we offer?
- Educational benefits: We invest heavily in your growth from day one. You’ll spend the first 6 months mastering the core pillars of Data Engineering and earning your Databricks certifications through a high-intensity curriculum. This focus on learning doesn’t end here. After you graduate, you’ll have full access to Databricks’ internal and public courses, our internal library, and dedicated learning time during work hours. We also fully fund your professional data and cloud certifications throughout the program and your entire career with us.
- PTO and Working Hours: During the program, your working hours and PTO will be aligned with the curriculum to ensure you and your cohort get the most out of the training. Once you complete the program, you will transition to our standard flexible PTO and working hours scheme.
- Office and Remote Setup: As we believe that high-intensity learning and team integration happen best in person, the first 3 months of the program will be on-site in our Budapest office, which will move to a hybrid setup for the second half of the program. Once you graduate, you will transition to our standard flexible office policy, where we’d expect you to spend one day per week in the office on average.
- Private Medical Insurance: We provide a private medical package via Generali.
- Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.
- Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, and standing desks in the office, and whatever else is needed to give your best.
- The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are highly valued at DATAPAO. Additionally, you'll get the chance to make real impact in 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.
- 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 poker nights with the team are also on us.
The base salary for this position is 900,000 HUF gross/month. Additionally, you will receive a 750,000 HUF gross bonus at the end of each quarter (dependent on program milestones completion) up until your first work anniversary.
We will kick-off the selection process in mid-May for our upcoming October 2026 cohort.
This program requires EU citizenship or a valid right to work in Hungary. We do not currently offer sponsorship or visa transfers (including Skilled Worker visas). Applicants must have the legal right to work on a full-time basis to be considered for the program.
Want to know more about us?
DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
-
Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
-
Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
-
"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
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 the ones we use to run our recruitment process) and keep your application for two 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.
Ready to apply?
Apply to DATAPAO
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, 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;
- You thrive when having to solve problems & take ownership - you solve problems on your own and advise (or coordinate) others on how to do the same. Moreover, you love stepping up as a technical lead or identifying organizational gaps and filling them in - being an organizational process or documentation gap, a customer communication miss-match, or a resource allocation deficiency;
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You are fluent in English and willing to travel (mainly in the EU and normally within a short business trip setup) up to 15% of your time.
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.
-
Private Medical Insurance: We provide a private medical package via Generali.
-
Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.
-
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.
-
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.
-
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 Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
-
Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
-
Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
-
"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
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 the ones we use to run our recruitment process) and keep your application for two 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.
Ready to apply?
Apply to DATAPAO