Senior Data Engineer 5

Netflix
Warsaw
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Mentoring","Collaboration","Adaptability","Growth mindset"]

Build and own critical batch and/or real-time data pipelines that power Netflix analytics, metrics, and experimentation. Model and organize data for scalable, fast retrieval, translating ambiguous business needs into clear data requirements and high-quality workstreams. Partner closely with data scientists, analytics engineers, and machine learning practitioners, developing enterprise data products that integrate signals across hundreds of internal applications and tools.

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FursaFursa
Netflix
Netflix
1 year ago

Senior Data Engineer 5

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Build and own critical batch and/or real-time data pipelines that power Netflix analytics, metrics, and experimentation. Model and organize data for scalable, fast retrieval, translating ambiguous business needs into clear data requirements and high-quality workstreams. Partner closely with data scientists, analytics engineers, and machine learning practitioners, developing enterprise data products that integrate signals across hundreds of internal applications and tools.
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Take ownership of critical pipelines and data sets that support a variety of data science and engineering use cases.
  • •Collaborate with stakeholders to model tables and develop pipelines that deliver timely, high-quality data.
  • •Translate ambiguous business questions into clear data requirements and deliver insights.
  • •Serve as a connector between data engineering and the business to enable informed decision-making.
  • •Partner with data scientists, analytics engineers, and machine learning practitioners to support research and insight delivery.

Key Requirements

  • •6+ years building data pipelines in batch and/or real-time settings to support diverse use cases.
  • •Proficiency in Python and/or Scala, plus the ability to write complex SQL for ad-hoc and recurring workflows.
  • •Experience modeling data for reporting and metrics and organizing data for scale and fast retrieval.
  • •Experience sourcing and modeling data from application APIs and event streams.
  • •Experience mentoring and supporting teammates while navigating ambiguity and creating clarity.
Experience:6+ years
Skills:CommunicationMentoringCollaborationAdaptabilityGrowth mindset
Tech Stack:PythonScalaSQLSparkFlinkIcebergKafkaJiraSlackZendeskGoogle Suite

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
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