Senior AI Data Engineer — Build AI-Driven Data Pipelines

Zendesk Group

Dublin

Hybrid

EUR 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Job summary

Zendesk is seeking a Senior AI Data Engineer to join the Analytics Prototyping (ZAP) team in a hybrid role across Dublin and other EU offices. You’ll design and maintain ELT pipelines, build SQL models with dbt, and push toward an AI-enabled operating model using modern data tooling.

You’ll collaborate with data scientists and product teams, optimize performance, and ensure scalable, reliable data assets that power Zendesk’s reporting and analytics stack.

Qualifications

  • 5+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.
  • Extensive experience with SQL, ideally in the context of data modeling and analysis.
  • Hands-on production experience with dbt, and proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc.
  • Programming skills in Python or a similar language, with an emphasis on data transformation and automation.

Responsibilities

  • Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.
  • Build and optimize SQL-based data models using dbt and other ETL tools.
  • Collaborate with cross-functional teams to translate requirements into scalable data models and pipelines.
  • Contribute to the team’s technical vision and bring innovative solutions to data systems.

Skills

SQL
Python
dbt
BigQuery
Redshift
Snowflake
Spark
ETL pipelines

Tools

dbt
Airflow
Kafka
Spark

Job description

Zendesk is seeking a Senior AI Data Engineer to join the Analytics Prototyping (ZAP) team in a hybrid role across Dublin and other EU offices. You’ll design and maintain ELT pipelines, build SQL models with dbt, and push toward an AI-enabled operating model using modern data tooling.

You’ll collaborate with data scientists and product teams, optimize performance, and ensure scalable, reliable data assets that power Zendesk’s reporting and analytics stack.

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