BME honlap | Oldaltérkép | Impresszum | HU | EN

SpiceUP - The Data Engineering Academy

Datapao

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. At Datapao, data ignites passion, community fuels collaboration, and growth knows no bounds. Here, you’ll unlock your full potential and do more than just join a team – you’ll transform, grow and play a meaningful role in real-world impact.

Qualifications required: BSc or MSc in a STEM field

A good grasp of coding in either Python, Java, Scala, or Go

Tasks:

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.

Requirements:

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, Java, Scala, or Go. This is essential, as the program is optimized to level you up in Data Engineering rather than teach basic programming.

  • You have solid engineering foundations: a BSc or MSc (preferably in a STEM field) and a good grasp of coding in either Python, Java, Scala, or Go. 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.

Further information: Ready to go from "I can code" to "I can deliver"?

Let’s be honest: the jump from a university degree to a real-world Data Engineering role is huge. Most companies expect you to be a Senior on day one, but they don't actually show you how to get there.

At the SpiceUp Academy, we’re doing things differently.

This is NOT an internship. It’s a 6-month, high-intensity enablement program designed to bridge the gap between your studies and a long-term career as a Data Engineer. We treat you like a pro from the start. That means a permanent, indeterminate contract on Day 1 and a total compensation package of 1.15M HUF/month.

WHAT'S IN IT FOR YOU?

  • The Global Tech Stack You won't be working on "practice" tasks. You’ll master the exact stack we use for our global clients: Apache Spark and Databricks on AWS/Azure.
  • Accelerated Development & Mentorship Your weeks will alternate between deep-dive technical classes and hands-on project delivery. You’ll also shadow our senior consultants on real client calls to see exactly how we solve complex puzzles for EMEA and US customers.
  • Paid Certifications & Learning We don’t just teach you; we certify you. We fully fund your professional data and cloud certifications throughout the program (and your entire career with us). Plus, you get dedicated learning time during work hours and full access to Databricks’ internal courses.

Application