Data & Software Engineer 5 — System Insights & Productivity Metrics

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

The System Insights & Productivity Metrics team is crucial to our Developer Experience organization. It focuses on empowering Netflix engineers with comprehensive system insights and metrics to enhance decision‑making, optimize workflows, and drive engineering excellence across the organization. This team is responsible for developing solutions that visualize and analyze comprehensive system insights and metrics, supporting engineering excellence and aligning with strategic goals of accelerating innovation and reducing risk.

As a Data and Software Engineer, you will play a crucial role in developing solutions that ingest, process, aggregate, visualize, and analyze comprehensive system insights and metrics. Your work will directly impact Netflix's ability to deliver high‑quality entertainment experiences to millions of users worldwide. You will collaborate with data scientists, product managers, and other engineers to build robust data pipelines and software solutions that power our analytics, machine learning models, and product features.

Key Responsibilities

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

Key Requirements

• Proficient in Java, Spark, and SQL.
• Extensive experience working on ETL, aggregation, and reporting.
• Experienced in building and managing distributed systems and data pipelines.
• Experience in building MCPs and GenAI Frameworks.
• Familiar with big data technologies and comfortable working with large scale datasets.
• Strong communicator with the ability to explain complex data problems in clear and concise language.
• Passionate about data quality, software design, and delivering impactful solutions.
• Comfortable working in a fast‑paced, agile environment with ambiguous requirements.
• A collaborative team player who thrives in a diverse and inclusive culture.

Nice‑to‑have Qualifications

• Hands‑on experience with batch or streaming data processing.
• Knowledge of data modeling, data warehousing, and data transformation.

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.