Zendesk

6 days ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design and build scalable dimensional data models and ETL pipelines for the Foundation Insights team, powering operational analytics for engineering and product development. Build self-service data products such as Django-based dashboards and AI-powered exploration via MCP servers, and optimize performance through query tuning, caching, and pre-aggregations. Ensure data quality with testing and monitoring, integrate data from APIs and third-party tools into Snowflake, and collaborate across engineering, product, and leadership.

Location: Lisbon, Portugal

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and build dimensional data models using dbt in Snowflake.
•Develop and maintain ETL pipelines and Airflow DAGs to centralize engineering operational metrics across multiple Snowflake accounts.
•Build self-service data products including Django-based dashboards and MCP servers for AI-powered data exploration.
•Optimize data product performance via query optimization, pre-aggregated models, and caching strategies.
•Implement data quality tests, monitoring, and validation layers, and integrate data from APIs and third-party tools into Snowflake.

Key Requirements

•3-5+ years building and optimizing production data pipelines and analytical data models.
•Proficiency in Python and SQL for ETL development and building data/application logic (Django/Flask).
•Hands-on dbt experience for dimensional modeling, testing, dependency management, and performance optimization.
•Experience with cloud data warehouses including Snowflake (and others such as BigQuery, Redshift, or Databricks).
•Ability to work cross-functionally and communicate technical concepts to technical and non-technical stakeholders.

Experience:3-5 yearsData engineering

Skills:Self-starterAnalytical thinkingCross-functional communicationDetail-orientedData quality focus

Tech Stack:PythonSQLDjangoFlaskDbtSnowflakeBigQueryRedshiftDatabricksAirflowTerraformClaudeGPTMCPGitHubJiraAPIsETLCI/CDInfrastructure-as-code

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

6 days ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Lisbon, Portugal

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and build dimensional data models using dbt in Snowflake.
•Develop and maintain ETL pipelines and Airflow DAGs to centralize engineering operational metrics across multiple Snowflake accounts.
•Build self-service data products including Django-based dashboards and MCP servers for AI-powered data exploration.
•Optimize data product performance via query optimization, pre-aggregated models, and caching strategies.
•Implement data quality tests, monitoring, and validation layers, and integrate data from APIs and third-party tools into Snowflake.

Key Requirements

•3-5+ years building and optimizing production data pipelines and analytical data models.
•Proficiency in Python and SQL for ETL development and building data/application logic (Django/Flask).
•Hands-on dbt experience for dimensional modeling, testing, dependency management, and performance optimization.
•Experience with cloud data warehouses including Snowflake (and others such as BigQuery, Redshift, or Databricks).
•Ability to work cross-functionally and communicate technical concepts to technical and non-technical stakeholders.

Experience:3-5 yearsData engineering

Skills:Self-starterAnalytical thinkingCross-functional communicationDetail-orientedData quality focus

Tech Stack:PythonSQLDjangoFlaskDbtSnowflakeBigQueryRedshiftDatabricksAirflowTerraformClaudeGPTMCPGitHubJiraAPIsETLCI/CDInfrastructure-as-code

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