Netflix

8 months ago

Manager, Data Engineering

✓ 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

Lead Netflix’s Enterprise Data Science & Engineering team in Warsaw, focusing on Enterprise Productivity and Data Health. Define how to measure AI’s impact on enterprise productivity and ensure the integrity of a massive internal data warehouse. Build observability and quality standards for millions of warehouse tables, partner across Engineering, Finance, and Product to deliver data products, and own roadmaps for high-stakes architecture and tooling decisions.

Location: Warsaw

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead and inspire a team of data engineers and analytics engineers in Warsaw, fostering excellence and autonomy.
•Develop frameworks to quantify AI’s impact on engineering and enterprise-wide productivity.
•Measure and maintain data health at massive scale by building observability and quality standards for warehouse tables.
•Partner with internal stakeholders and translate complex data into actionable insights for enterprise strategy.
•Own the roadmap for enterprise data products, making architecture, tooling, and methodology decisions using clear context and data.

Key Requirements

•Proven experience managing senior-level data engineers or scientists delivering high-impact work under changing priorities.
•Strong data engineering and analytics background, including comfort discussing distributed systems, data modeling, and large-scale warehouse architecture.
•A product mindset: build data products that identify internal customers and solve their pain points.
•Experience tackling hard-to-measure problems (e.g., productivity or technical debt) with creative, data-driven approaches.
•Deep alignment with the Netflix Culture Memo; thrive in a high-freedom, high-responsibility environment.

Skills:LeadershipCross-functional collaborationThought leadershipCulture alignmentStrategic thinking

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: 4.1

Website LinkedIn Glassdoor

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Netflix

8 months ago

Manager, Data Engineering

✓ 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

Location: Warsaw

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead and inspire a team of data engineers and analytics engineers in Warsaw, fostering excellence and autonomy.
•Develop frameworks to quantify AI’s impact on engineering and enterprise-wide productivity.
•Measure and maintain data health at massive scale by building observability and quality standards for warehouse tables.
•Partner with internal stakeholders and translate complex data into actionable insights for enterprise strategy.
•Own the roadmap for enterprise data products, making architecture, tooling, and methodology decisions using clear context and data.

Key Requirements

•Proven experience managing senior-level data engineers or scientists delivering high-impact work under changing priorities.
•Strong data engineering and analytics background, including comfort discussing distributed systems, data modeling, and large-scale warehouse architecture.
•A product mindset: build data products that identify internal customers and solve their pain points.
•Experience tackling hard-to-measure problems (e.g., productivity or technical debt) with creative, data-driven approaches.
•Deep alignment with the Netflix Culture Memo; thrive in a high-freedom, high-responsibility environment.

Skills:LeadershipCross-functional collaborationThought leadershipCulture alignmentStrategic thinking

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: 4.1

Website LinkedIn Glassdoor