Senior Data Engineer 5

About Data Science and Engineering

Data Science and Engineering (DSE) is a key pillar of Netflix’s data-driven strategy, using data, analytics, experimentation, models and consumer insights to support decision-making. The organization focuses on data engineering, metrics, analysis, dashboards, experimentation and analytics, while developing models and algorithms for internal decision support.

About Data Engineering

Data Engineering at Netflix focuses on building efficient data-processing systems and modelling data for analytics. Solutions range from batch pipelines powering business metrics to real-time services supporting core product features. Data Engineers work with large distributed systems and collaborate closely with business, engineering and data science teams.

Netflix is hiring for the first time for the Data Engineering organization in EMEA across several teams.

System Insights & Productivity Metrics

The SIPM team is a new, startup-like group focused on measuring system insights and developer productivity across Netflix. The team builds foundational metrics and data pipelines, with plans to expand into areas such as measuring GenAI ROI.

The role involves working with productivity leaders and product managers to turn business requirements into data engineering projects, track and analyze metrics, address data quality issues and build reliable insights. It is suited to someone who enjoys ambiguity, building from scratch and having a tangible impact on engineering efficiency.

Conversation, Marketing & Fandom Data Engineering

This team builds and manages data engineering pipelines supporting Netflix’s marketing, fandom and global events. You will architect pipelines that ingest data from multiple sources and turn it into insights supporting marketing and fandom decisions.

Security Data Engineering

The team develops data products providing insights into security, fraud and technology risks across customer accounts and internal systems. The role supports security teams in detecting and mitigating risks across Netflix’s large and complex cloud infrastructure.

Member Data Engineering

This team develops data products that measure the Netflix product experience, track key KPIs and support innovation through A/B testing. You will work with Engineering teams on client and server logging, collaborate with Data Scientists and Product Managers, and use data to identify opportunities and test new ideas.