Senior Data Engineer (Databricks)

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 at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and who want to change industries and the world.

So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer.

We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. " (Máté Gulyás, CEO) What (exactly) will you do? 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.