Big Data Engineer

4 - 10 years of experience in designing and buildingarchitecting highly resilient data platforms

∙Strong knowledge of data engineering, architecture and data modeling

∙Experience in platforms like Databricks and Snowflake

∙Experience on building applications on cloud (AWS or Azure or Google Cloud)

∙Strong analytical and problem-solving skills

∙Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an

advantage

∙OOP design skills with an understanding or at least personal interest towards the concepts of Functional

Programming

∙Willingness to understand and enhance other people’s code, being able to work in an environment where

developers will oversee and work on wider components also dealing with older “legacy” code

∙Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not

already mastered at a sufficient level is important

∙Spring knowledge is an advantage, but in general willingness to learn, work with and even enhance in-house

developed frameworks is a must

∙Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile

methodology is an advantage

∙Prior knowledge of financial products is an advantage

∙Bachelors or Masters in any relevant field of IT/Engineering area is an advantage