Senior AI Data Engineer: AI-Driven Data Pipelines & Modeling

Zendesk

Dublin

Hybrid

EUR 110,000 - 150,000

Full time

14 days+
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Job summary

Zendesk seeks a Senior AI Data Engineer to join the Analytics Prototyping (ZAP) team. You will design and ship fine-grained datasets powering Zendesk’s analytics for customers and internal teams.

You will develop ELT pipelines, optimize SQL models with dbt, and apply AI-aware approaches to boost productivity and data delivery. Strong SQL, dbt, Python, and cloud data platforms are essential.

Qualifications

  • 5+ years of data engineering experience building and maintaining data pipelines.
  • Extensive SQL experience, data modeling and analysis.
  • Hands-on production experience with dbt and data modeling methods.
  • Python or similar language for data transformation and automation.
  • Experience with cloud columnar databases (BigQuery/Redshift/Snowflake) and SQL.
  • Proven performance testing, capacity planning and cost optimization in cloud environments.
  • Excellent communication and collaboration skills.

Responsibilities

  • Develop and maintain ELT pipelines for reliable business reporting.
  • Build and optimize SQL-based data models using dbt and ETL tools.
  • Support AI-enabled operating model and apply emerging technologies.
  • Identify performance bottlenecks and improve data delivery and system efficiency.
  • Collaborate with teammates to translate requirements into scalable data solutions.
  • Contribute to the team's technical vision and implement innovative data solutions.

Skills

SQL
dbt
Python
Data modeling
Big data pipelines

Tools

Airflow
Kafka
Snowflake
Looker
Spark

Job description

Zendesk seeks a Senior AI Data Engineer to join the Analytics Prototyping (ZAP) team. You will design and ship fine-grained datasets powering Zendesk’s analytics for customers and internal teams.

You will develop ELT pipelines, optimize SQL models with dbt, and apply AI-aware approaches to boost productivity and data delivery. Strong SQL, dbt, Python, and cloud data platforms are essential.

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