Senior Data Engineer 5

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. About the Data Science and Engineering organization: Data Science and Engineering (DSE) is a key pillar of Netflix’s data-driven strategy, leveraging data, analytics, experimentation, models, and consumer insights to inform decisions. DSE focuses on data engineering, metrics, analysis, dashboards, analytic tools, experimentation research, and analytics. The team also develops models and algorithms for internal decision support. We are committed to using data to inform our decision-making as we work toward our mission. This involves curating data across various domains, such as Growth, Finance, Product, Content, and Studio. All of this data collection and curation is made possible thanks to Netflix’s talented Data Engineers, who bring this data to life. About Data Engineering: Data Engineering at Netflix involves building systems to process data efficiently and modeling data to power analytics. These solutions range from batch data pipelines that bring business metrics to life, to real-time processing services that integrate with our core product features. Data Engineers benefit from a strong understanding of large distributed systems on which our data solutions rely. Candidates should have experience across several of these skill sets and depth in at least one area. Effective communication skills are important, as you will collaborate with business, engineering, and data science teams to foster a culture of learning. We are hiring for the first time for the Data Engineering organization in EMEA, across the following teams: Enterprise Data This team is responsible for developing data products that deliver critical insights into core enterprise applications, data health, and technologist productivity. You will play a key role in enabling our enterprise partners and engineering leadership to make data-informed decisions, accelerate development, and adoption of Gen AI tools. Our enterprise data ecosystem is vast and complex, integrating information from over 500 internal applications and productivity tools such as Jira, Slack, Zendesk, and Google Suite. Centralizing diverse data points to enhance our understanding of these dimensions and strengthen our data is essential for success in this role. Conversation, Marketing & Fandom Data Engineering The reach of Netflix and the fandom we create fuels the “Netflix effect” - a virtuous cycle of great content and engaged fandom that catapults our stories into the cultural conversation. Netflix influences what people around the world search for and talk about , the music they listen to, the books they read, the countries they visit , and how they dress . Our marketing efforts help to kick-start the Netflix effect, and we are providing more ways for fans to engage with our stories: Tudum , events like Netflix Bites and Bridgerton experiences , and the launch in 2025 of the first two Netflix House locations. We also create and measure the social engagement with performance marketing and acquisition marketing for Netflix, Netflix Games, Ads, and more. In this team, you’ll help elevate our conversation, marketing, and fandom decisions and events globally. You will design and develop our data engineering pipelines to ingest marketing and fandom data from a variety of sources and power insights using this data. Member Data Engineering The Netflix product experience helps our members discover the next great piece of content to enjoy.  It could be a new series, an old movie, a live event people are talking about, or even a new video game. The product aims to present the right content, in the right format, to the r ... (truncated, view full listing at source)