Data Product Engineer, Data & Analytics

Job not on LinkedIn

🔥 2 minutes ago

🌐 Spain, United Kingdom – Remote

🇪🇸 Spain – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Trimble Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

📦 Logistics

🏭 Manufacturing

💼 Consulting

💰 Post-IPO Debt on 2022-12

Logistics • Manufacturing • Consulting

Trimble Inc. is a technology company that provides advanced solutions across various sectors including construction, transportation, geospatial, and natural resources. They empower industries to improve efficiency and profitability by leveraging real-time data insights, innovative software, and precise hardware. Trimble's solutions are used by millions of professionals globally, helping them to collaborate effectively and manage complex workflows, ultimately transforming how work gets done in diverse environments.

📋 Description

• Design, build, and improve reliable data pipelines, analytical models, and reusable data products for BI, internal applications, and AI consumers • Establish standards for architecture, modeling, orchestration, testing, data contracts, documentation, ownership, access control, and lifecycle management • Shape and operate a governed semantic layer for consistent metrics and business concepts • Improve data-quality controls, observability, monitoring, alerting, incident practices, performance, CI/CD, and cost management • Evolve AI-native practices for coding agents and review generated designs, code, tests, and documentation • Make architectural decisions, dependencies, operational knowledge, and business context accessible to colleagues and AI agents • Deliver internal applications, APIs, automation, and governed agent interfaces such as MCP servers end to end • Improve workflows for dashboard deployment, authentication, authorization, access management, onboarding, and self-service • Research internal customer needs and translate insights into product and service roadmap priorities • Help users discover and consume data products and semantic models, communicating definitions, ownership, freshness, quality, limitations, and validation requirements • Define data and service contracts with dependent teams • Mentor colleagues through pairing, technical guidance, and reviews • Guide adoption of standards for modeling, testing, code review, deployment, observability, documentation, and governance • Evaluate developments in data, software engineering, and AI tooling and help adopt practices that improve outcomes

🎯 Requirements

• 5+ years of experience in data engineering, analytics engineering, software engineering, or an adjacent field • Mastery of data engineering and analytics engineering, including data modeling and ELT design, pipeline performance, reliability, and maintainability • Deep practical experience with SQL, Python, data modelling, ELT, dbt, orchestration, and cloud data services • Preferably experience using GCP, BigQuery, dbt, and Airflow • Strong DevOps practices: Git, code review, automated testing, CI/CD, infrastructure as code, environment management, and observability • Practical experience designing workflows for and directing AI coding agents, and validating generated designs, code, tests, and documentation • Experience building and maintaining production APIs, MCP servers, and endpoints • Ability to communicate technical decisions and trade-offs to technical and non-technical stakeholders • Experience with BI and analytics governance, metric consistency, semantic modeling, access control, data quality, discoverability, lifecycle management, and cost management • Experience implementing semantic layers, metric stores, data catalogs, or governed analytical interfaces • Experience building internal applications with authentication and role-based access

🏖️ Benefits

• Values-driven culture centered on Belong, Grow, and Innovate • Collaborative and supportive team culture • Opportunities to build a career and drive collective growth • Entrepreneurial environment with ownership and initiative • Purpose-driven work with tangible real-world impact • Accommodation support during the application process