Java Engineer transitioning to Data & AI

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and Data Science 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 and have achieved a second consecutive appearance on the Financial Times FT1000 list.

If you are a seasoned Java Software Engineer keen to transition to data & AI, we offer you a unique opportunity to do just that. Join DATAPAO as a Java Developer, go through our data & AI enablement program, and grow into a Data Engineer working with Python and Databricks.

Via our enablement program, you'll get intensive Python and Databricks training, gain real-world project experience, and acquire multiple Databricks and cloud certifications. Most importantly, you'll get to be a data engineer. And we believe there is no better time in history for that than today. But don't just take our word for granted:

"I was a Java developer working on backend systems. I wanted to be part of the AI and data revolution, but didn’t know where to start. Datapao gave me a clear path and the support to make the transition. In 90 days, I went from writing Java APIs to delivering my first data engineering project in Databricks."  (Pál Könyves, Data Engineering Manager, former Java Software Engineer)

What makes this program unique?

Your 3-month transition roadmap

Month 2 – Data Engineering Core

Month 3 – Applied Projects & Certification

What will you do after completing the program?

Upon successfully completing the program, you will work as a Data Engineer consultant with our EMEA customers to help them solve their data engineering, AI, and cloud migration puzzles. You will be expected to deliver data & AI projects across industries - 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. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to manage the customer relationship directly, alone or in collaboration with a Project Manager. Additionally, given your seniority, we'd expect you to compound your impact across the team and the organization over time by mentoring more junior engineers, helping others undergo a similar transition as you did, or contributing to hiring best-in-class data engineers.

What does it take to fit the bill?

• Java expertise and strong software engineering foundations - You bring 5+ years of hands-on experience as a Java Developer and are eager to build on that foundation in the data engineering space. You're also fine letting go of Java in favor of Python and Databricks.
  
  
• Cloud exposure – You have worked in production with at least one major cloud provider (AWS, Azure, or GCP) and are comfortable navigating in cloud-based environments.
  
  
• Consultant mindset – You enjoy working closely with clients, understanding their needs, and delivering optimal solutions that serve their needs and make a real impact on their business.
  
  
• Communication skills – You can easily and clearly articulate technical concepts to both technical and non-technical stakeholders.
  
  
• Problem-solving – You take ownership in challenging situations, think critically, and bring a solution-driven mindset when facing a roadblock. Furthermore, you are at ease with switching contexts often and delivering under pressure. 

• 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. 

• 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. 

• 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. 

• 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.

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