Senior Data & Software Engineer, System Insights

Netflix; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

Netflix is seeking a Data and Software Engineer for the System Insights & Productivity Metrics team in Warsaw. You will build data pipelines, ingest, process, and analyze system metrics that empower engineering decisions and accelerate innovation.

Collaborate with data scientists and engineers to deploy scalable analytics, contribute to GenAI and MCP frameworks, and ensure data quality while delivering robust solutions in a fast‑paced, agile environment.

Qualifications

• Proficient in building data pipelines and software applications.
• Experience with ETL, aggregation, and reporting.
• Strong experience with distributed systems and large-scale data pipelines.
• Familiar with MCPs and GenAI frameworks.
• Excellent communication skills and data quality focus.

Responsibilities

• Design, develop, and maintain scalable data pipelines and software applications that support Netflix's core business objectives.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Implement and optimize distributed processing frameworks for large-scale data processing.
• Develop and integrate software solutions for data analysis, reporting, and experimentation.
• Continuously improve system efficiency and data governance practices.
• Stay informed about industry trends and emerging technologies to keep Netflix at the forefront of innovation.

Skills

Java

Spark

SQL

ETL

Distributed systems

GenAI frameworks

Big data

Data quality

Communication

Tools

MCPs

GenAI Frameworks

Job description

Netflix is seeking a Data and Software Engineer for the System Insights & Productivity Metrics team in Warsaw. You will build data pipelines, ingest, process, and analyze system metrics that empower engineering decisions and accelerate innovation.

Collaborate with data scientists and engineers to deploy scalable analytics, contribute to GenAI and MCP frameworks, and ensure data quality while delivering robust solutions in a fast‑paced, agile environment.