Zendesk

1 month ago

Staff Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Lead the data foundation powering Zendesk product analytics at scale, shaping data models, semantic layers, and core datasets. Own standards for data quality, modeling, and pipeline design; translate ambiguous product problems into scalable data solutions; build observable real-time and batch data systems; mentor engineers and influence cross-team data strategy to improve adoption and retention.

Location: Krakow, Mexico City, Lisbon

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own and evolve the product analytics data architecture, including data models, semantic layers, and core datasets used across multiple teams.
•Define and drive standards for data modeling, metric definitions, data quality, and pipeline design across the organization.
•Translate ambiguous product and business problems into scalable, well-designed data solutions.
•Design and build reliable, observable data pipelines and systems that support both real-time and batch analytics use cases.
•Lead cross-team initiatives to standardize schemas, align definitions, and reduce fragmentation in product data

Key Requirements

•8+ years of experience in data engineering or analytics engineering, with demonstrated ownership of large-scale data systems.
•Deep expertise in SQL and data modeling for analytics, including designing reusable, well-structured datasets.
•Strong experience with modern data stack tools such as dbt, Airflow, and Snowflake (or equivalent).
•Proven ability to design systems that balance scalability, reliability, and cost efficiency in cloud environments.
•Experience implementing data quality, testing, and observability frameworks

Experience:8+ yearsData engineeringAnalyticsDbtSnowflakeAirflow

Skills:CommunicationLeadershipProblem-solvingCollaboration

Tech Stack:SQLDbtAirflowSnowflakeAI

Company Brief

Zendesk

Provides cloud-based customer service and engagement software, including help desk, ticketing, chat, and CRM tools that enable businesses to manage customer support, self-service, and omnichannel communication at scale.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Decacorn (USD 10B+)

Funding: Private Equity Backed

Headquarters: San Francisco, United States

Founded: 2007

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Zendesk

1 month ago

Staff Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Krakow, Mexico City, Lisbon

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own and evolve the product analytics data architecture, including data models, semantic layers, and core datasets used across multiple teams.
•Define and drive standards for data modeling, metric definitions, data quality, and pipeline design across the organization.
•Translate ambiguous product and business problems into scalable, well-designed data solutions.
•Design and build reliable, observable data pipelines and systems that support both real-time and batch analytics use cases.
•Lead cross-team initiatives to standardize schemas, align definitions, and reduce fragmentation in product data

Key Requirements

•8+ years of experience in data engineering or analytics engineering, with demonstrated ownership of large-scale data systems.
•Deep expertise in SQL and data modeling for analytics, including designing reusable, well-structured datasets.
•Strong experience with modern data stack tools such as dbt, Airflow, and Snowflake (or equivalent).
•Proven ability to design systems that balance scalability, reliability, and cost efficiency in cloud environments.
•Experience implementing data quality, testing, and observability frameworks

Experience:8+ yearsData engineeringAnalyticsDbtSnowflakeAirflow

Skills:CommunicationLeadershipProblem-solvingCollaboration

Tech Stack:SQLDbtAirflowSnowflakeAI

Company Brief

Zendesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Decacorn (USD 10B+)

Funding: Private Equity Backed

Headquarters: San Francisco, United States

Founded: 2007

Glassdoor: 4.0

Website LinkedIn Glassdoor