Data Product Engineer: AI-Driven Analytics & Semantics

Trimble Inc.

España

On-site

EUR 70,000 - 110,000

Full time

45 hours ago
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Job summary

Trimble is seeking a Data Product Engineer to shape the data and analytics foundation for the agentic AI era. You will design end-to-end data pipelines, establish standards, and lead governance across reporting, apps, and APIs.

You will drive AI-native practices and ensure trusted data products while collaborating with platform and security teams. Join a team delivering scalable, governed data for Trimble's diverse industries.

Qualifications

  • 5+ years of experience in data engineering, analytics engineering, software engineering, or adjacent field.
  • Mastery of data engineering and analytics engineering principles.
  • Experience with SQL, Python, data modeling, ELT, dbt, orchestration, and cloud data services (preferably GCP BigQuery).
  • Strong DevOps practices: Git, code review, automated testing, CI/CD.

Responsibilities

  • Design, build, and improve reliable data pipelines, analytics models, and reusable data products for BI, internal apps, and AI consumers.
  • Provide technical leadership and establish standards for architecture, modeling, orchestration, testing, data contracts, documentation, and governance.
  • Shape and operate a governed semantic layer across reporting, apps, APIs, and AI-enabled services.
  • Deliver end-to-end solutions from discovery to deployment and operation.

Skills

SQL
Python
dbt
BigQuery
Airflow
Data modeling
ELT design
Cloud data services
CI/CD
Data contracts

Tools

Git
CI/CD tooling
APIs

Job description

Trimble is seeking a Data Product Engineer to shape the data and analytics foundation for the agentic AI era. You will design end-to-end data pipelines, establish standards, and lead governance across reporting, apps, and APIs.

You will drive AI-native practices and ensure trusted data products while collaborating with platform and security teams. Join a team delivering scalable, governed data for Trimble's diverse industries.

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