data engineer in entertainment

Netflix is an entertainment provider whose mission is to entertain the world through storytelling, global fandom, and technology. Its Data Science and Engineering organization uses data, analytics, experimentation, models, and consumer insights to support decision-making across Growth, Finance, Product, Content, and Studio.

• Take ownership of critical pipelines and datasets supporting data science and engineering use cases;
• Collaborate with stakeholders to understand needs, model tables using data warehouse best practices, and develop pipelines for timely delivery of high-quality data;
• Explore ways to use data to add value to Netflix;
• Translate ambiguous business questions into clear data requirements and deliver solutions;
• Connect data engineering and the business to enable insights for informed decision-making;
• Build partnerships with data scientists, analytics engineers, and machine learning practitioners to support research and insight delivery.

• 6 Years of experience building batch and/or real-time data pipelines for varied use cases;
• Proficiency in Python and/or Scala for scripting, automation, and data orchestration frameworks;
• Ability to write complex SQL for ad-hoc and recurring workflows;
• Ability to write clear and maintainable code and learn new technologies;
• Ability to model data efficiently for reporting and metrics and organize it for scale and fast retrieval;
• Experience sourcing and modeling data from application APIs and event streams;
• Experience converting business requirements into data engineering workstreams;
• Experience mentoring and supporting team members, navigating ambiguity, and creating clarity;
• Ability to work independently and collaboratively across functions;
• Ability to adapt to different work environments and act as a business partner;
• Growth mindset, curiosity, authenticity, self-motivation, determination, and openness to feedback;
• Openness to new perspectives and ability to adapt as new information emerges;
• Effective communication skills and ability to explain complex data problems clearly and concisely;
• Nice to have: experience with Spark, Flink, Iceberg, and Kafka.

• The role is based in Warsaw, Mazowieckie, Poland;
• No conditions specified.