tl;dr

We are looking for talented engineers to join our team in Budapest to deliver projects in cooperation with Databricks, the leading company in 2021 for Data Science and Machine Learning Platforms.

Great engineering skills, fluent English and a go-getter attitude are a must; expertise in big data systems is a plus but not necessary. In the first months of your employment, we provide all the training for the necessary cloud and big data technologies.

Read on for all the details.

About Datapao

We cater for global firms who want to take their data analytics to the next level. Datapao is a Data and Cloud service company covering full data and cloud transformation journeys from enablement through architecture to implementation. Unlike large global consultancies, Datapao has a single focus and thus unmatched expertise on Data and Cloud technologies.

We are a Delivery Partner of Databricks, creators of Apache Spark. We are also Microsoft Gold Partners, delivering cloud migration and data architecture projects on Azure in cooperation with Microsoft. These partnerships allow us to work with the most prominent companies and to delve really deep into these technologies.

We also act as a training company, providing onsite and online courses globally. We’ve been teaching people and helping the biggest companies improve their data infrastructure. Some of the companies we've worked with include Apple, Amazon, Microsoft, T-Mobile, GE, Ericsson and many other renowned financial and tech companies in the world.

Your Role as a Data Engineer

You will work with EMEA/US companies and help them solve their data engineering, ML engineering, and cloud migration problems.

Skills you have

• Client Obsession As a services company, we work with companies who need professional help. When we work with someone, we are all-in on their problems and we go the extra mile to make sure our involvement in our clients' project will make them successful. We have extremely high client satisfaction rates and we will be keeping it that way. That's Datapao priority #1.
• Strong Engineering Skills The Datapao brand represents flawless Data Engineering and Data Architecture skills matched with a client focus. A strong computer science foundation is essential to deliver well on these projects. Most of our projects require Python, SQL, Unix, and an understanding of Distributed Systems, but Scala pops up sometimes too. Knowledge of Distributed Systems is not a requirement. We are providing all the training for whatever is necessary
• Full-stack, Independent Problem Solving We mean it. As a boutique company, our team is made up of people who are able to solve problems single-handedly. You might need to set up your own cloud infrastructure before you can start coding and there will be the most unexpected questions coming your way when working with clients. That's why we need you to do full-stack if and when necessary: from infrastructure through application to keeping in touch with the client. This comes with a lot of responsibilities and even more freedom to make an impact.
• Fluent in English The majority of the work we do is delivered in Western Europe - remote or onsite - so fluent English is vital.
• Willingness to travel Some of our projects might require your short term (1-2 days to 1-2 weeks) onsite presence, mostly in Europe.

What we offer

• Extensive Learning Path Joining Datapao comes with serious educational benefits. You will be admitted to both our own and Databricks' public and internal advanced courses, where you will learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks and Cloud Migration from the best experts out there.
• Transparent, No Bullshit Culture We are small and growing, which comes with lots of moving parts, so it's vital for us to keep manoeuvring and experimenting. This can only be done when all of us work together to keep office politics and bullshit to a zero, and to provide as much transparency as possible.
• Competitive Salary The salary range depends on your level of seniority: 700 000 HUF to 1 600 000 HUF gross, full-time employment, no tax tricks. The lower part of the range is kept for associate-level engineers, the upper level is for more senior solutions architects with significant experience in Spark, Databricks and Microsoft Azure.