Data Platform Engineer, Data Infrastructure – Services

🔥 50 minutes ago

🌐 Spain, Estonia – Remote

🇪🇸 Spain – Remote 🇪🇪 Estonia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 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

• Own platform outcomes from intent through production • Design, provision, configure, and evolve cloud environments using version-controlled, reusable Terraform IaC modules • Build and maintain automated CI/CD deployment pipelines • Assist with migrating legacy workloads, storage layers, and pipelines from AWS and Azure to GCP • Support the design, deployment, and optimization of data primitives, analytics platforms, and batch and streaming pipeline orchestration • Translate security, privacy, compliance, and risk requirements into automated technical guardrails • Implement IAM, network controls, secrets management, data classification, and encryption • Maintain observability, technical documentation, ADRs, deployment evidence, and runbooks • Integrate AI coding assistants and LLM workflows into platform operations, troubleshooting, documentation, and code reviews • Manage cloud spend through labeling standards, capacity monitoring, cost-control policies, and lifecycle practices • Ensure infrastructure, observability, recovery, operational readiness, and governance compliance before production release • Work in a lean Platform Engineering pod and collaborate with lead data engineers

🎯 Requirements

• Ability to read, reason about, and debug code, data pipelines, and infrastructure across multiple layers of the stack • Ability to use AI to execute beyond primary expertise while critically validating output for safety and performance • Solid foundational knowledge of AWS, Azure, or GCP • Hands-on capability or strong willingness to specialize in GCP • Hands-on experience with declarative IaC tools such as Terraform • Experience with state management and CI/CD pipelines such as GitHub Actions • Working knowledge of modern data stack primitives and tooling, including BigQuery/Redshift, Airflow/Cloud Composer, Pub/Sub/Kafka, Dataflow, or dbt • Ability to use AI tools by default to accelerate delivery and solve complex platform issues • Ability to identify plausible-but-wrong AI outputs • Sound systems thinking and pragmatic judgment • Self-directed approach and operational discipline

🏖️ Benefits

• Purpose-driven work creating tangible real-world impact • Collaborative and supportive team culture • Opportunity to build a career and drive collective growth • Entrepreneurial environment with ownership and initiative • Global team environment • Accommodation support during the application process