Data Platform Engineer, Data Infrastructure – Services

Trimble Inc.

. Own platform outcomes from intent through production .

Posted 10/9/2026full-timeRemote • Spain, EstoniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud environment design and management, particularly with GCP, while leveraging Terraform for infrastructure as code. Proficient in building CI/CD pipelines and optimizing data workflows, with a strong focus on security, compliance, and operational readiness.

Highest-signal resume keywords

GCP SpecializationTerraform Infrastructure as CodeCI/CD Pipeline ManagementData Pipeline OptimizationCloud Security and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TerraformGCPAWSAzureCI/CD PipelinesBigQueryRedshiftAirflowDataflowDbt

Soft Skills

Systems ThinkingPragmatic JudgmentSelf-Directed ApproachOperational Discipline

Tools & Technologies

GitHub ActionsCloud ComposerPub/SubKafka

Industry Keywords

Infrastructure as CodeCloud EnvironmentsData PrimitivesAutomated Technical GuardrailsObservability

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformKafkaTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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