Medior Data Engineer

at  DATAPAO

@DATAPAO, we are on a mission: to make data work. In doing so, we are building a one-of-a-kind Data Engineering and Data Science consulting company covering the full data journey - from enablement, through architecture, to implementation.
We are currently looking for a well-versed 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. We’d expect you to be a (data) Paoneer!” (Máté Gulyás, CEO)

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.