Data Engineering Manager - Member Data

Netflix is one of the world's 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.

To be successful in this role, you need to be a strong people leader; great at giving and receiving feedback, fostering new ideas, and empowering others. 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.

Responsibilities :

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. Just as important as recruiting, you develop connections with the team and help them flourish in their roles, so the team retains its best talent.

Feedback & Development : You will coach and guide employees through their strengths and weaknesses through regular feedback.

Partnership : You will continue to establish strong relationships with both business and technical leaders across Netflix.

Skills & Characteristics :

You are a strong people leader who also demonstrates humility. You care deeply about people, and their success. You invest in your relationships, so that you have an understanding of the whole person and their perspective.

You’re not afraid of tough conversations, and are experienced in coaching your colleagues through difficult situations. You are comfortable sharing your perspective on challenging people dynamics.

You seek to de-escalate tense situations, and are creative & flexible in finding balance with partners to maximize impact.

You are a strong communicator, and self-aware about how others perceive your comments. As someone in a leadership role you aim to be assertive, not passive nor aggressive, in providing input, support, and feedback.

You are forward-looking and able to anticipate the investments Netflix should be making to improve efficiency, innovation, and alignment. You identify areas for continuous improvement, and persistently advocate for action to address them.

You’re allergic to micromanagement. You prefer to give context, delegate, and watch amazing people exceed your hopes and expectations.

Preferred Requirements :

You have strong business intuition, product sense, and analytic chops.

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. Spark / Hadoop, etc.)

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation / adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. 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.