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Netflix is one of the worlds leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
We are looking for an experienced leader to help build and lead a brand new Member Data Engineering team in Poland. This team will work in close partnership with data scientists and analytic engineers to support new innovation on the Netflix Product. You will help influence and guide projects from end-to-end: ideation to production.
You also need strong data and engineering backgrounds, to be a quick and data-driven learner, and the ability to lead large multi-disciplinary, cross-functional teams.
This role is based in Warsaw and our teams work in a hybrid-working model.
Vision: You intuitively understand business and technology and you leverage that to guide a team by providing relevant context and inspiration.
Team Building: You are constantly on the lookout for talent and have a knack for recognizing and attracting top-tier engineers to your team. You understand the importance of building an amazing team that is additive and diverse, and the value it brings to the overall company. Partnership: You will continue to establish strong relationships with both business and technical leaders across Netflix.
You seek to de-escalate tense situations, and are creative & flexible in finding balance with partners to maximize impact.
You are forward-looking and able to anticipate the investments Netflix should be making to improve efficiency, innovation, and alignment. You have 8+ years of experience in data engineering. You have strong programming (at least 1 major language) and SQL experience in your background.
You have 4+ years of engineering leadership experience.
You have worked in a technical role with a large scale consumer facing digital company.
You have a MS in Computer Science/Engineering, or related field.
You have strong experience with distributed data processing technologies (i.e. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.