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Urgent! AI Data Engineer at Zendesk | Jobs in Ireland | Expertini

AI Data Engineer



Job description

Job Description

Who we’re looking for:

The ‘Zendesk Analytics Prototyping’ (ZAP) team is seeking a Data Engineer to support our mission of building a robust data foundation for CRM insights and improving customer support tools.

As a Data Engineer, you will work on designing and implementing scalable, high-quality data solutions, collaborating closely with engineering and analytics teams to enhance Zendesk’s operations.

This role offers the opportunity to grow your skills in a dynamic environment and make a measurable impact on how Zendesk leverages data.

What you’ll be doing:

  • Collaborate with team members to define requirements and translate them into scalable data models and pipelines.

  • 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.

  • Identify and implement improvements in data delivery, processing performance, and system efficiency.

  • Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.

What you bring to the role

Basic Qualifications:

  • 3+ 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.

  • Experience with cloud columnar databases - primarily with Snowflake, query authoring (SQL) as well as working familiarity with a variety of databases.

  • Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems.

    This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.

  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • SnowPro Core certification or equivalent hands-on expertise.

  • Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics.

Our Data Stack:

ELT (Snowflake, dbt, Airflow, Kafka)

BI (Looker)

Infrastructure (AWS, Kubernetes, Terraform, GitHub Actions)


Required Skill Profession

Computer Occupations



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