SpiceUp: The Data Engineering Academy by 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 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.

Program Setup 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.

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.