Data Platform Engineer, Data Infrastructure – Services

This is a fully remote position, open to applicants in Spain, +1 more country.

📋 Description

• Take ownership of platform outcomes from intent to production.

• Design, provision, configure, and enhance cloud environments utilizing version-controlled, reusable Terraform Infrastructure as Code (IaC) modules.

• Build and sustain automated Continuous Integration/Continuous Deployment (CI/CD) deployment pipelines.

• Assist in migrating legacy workloads, storage solutions, and pipelines from AWS and Azure to Google Cloud Platform (GCP).

• Support the design, deployment, and optimization of data primitives, analytics platforms, and orchestration of batch and streaming pipelines.

• Convert security, privacy, compliance, and risk requirements into automated technical guardrails.

• Implement Identity and Access Management (IAM), network controls, secrets management, data classification, and encryption measures.

• Maintain observability, technical documentation, Architectural Decision Records (ADRs), deployment evidence, and runbooks.

• Incorporate AI coding assistants and Large Language Model (LLM) workflows into platform operations, troubleshooting, documentation, and code reviews.

• Manage cloud expenditures through labeling standards, capacity monitoring, cost-control policies, and lifecycle practices.

• Ensure infrastructure, observability, recovery, operational readiness, and governance compliance prior to production release.

• Collaborate within a lean Platform Engineering pod alongside lead data engineers.

⛳️ Requirements

• Proficiency in reading, reasoning about, and debugging code, data pipelines, and infrastructure across multiple stack layers.

• Capability to leverage AI to extend beyond primary expertise while rigorously validating outputs for safety and performance.

• Strong foundational understanding of AWS, Azure, or GCP.

• Hands-on experience or a strong desire to specialize in GCP.

• Practical experience with declarative IaC tools such as Terraform.

• Familiarity with state management and CI/CD pipelines, such as GitHub Actions.

• Working knowledge of modern data stack primitives and tools, including BigQuery/Redshift, Airflow/Cloud Composer, Pub/Sub/Kafka, Dataflow, or dbt.

• Ability to utilize AI tools by default to expedite delivery and address complex platform challenges.

• Capacity to identify plausible but incorrect AI outputs.

• Strong systems thinking and pragmatic judgment.

• Self-motivated approach and operational discipline.

🏝️ Benefits

• Purpose-driven work that creates a tangible impact in the real world.

• A collaborative and supportive team culture.

• Opportunities to build a career and foster collective growth.

• An entrepreneurial environment that encourages ownership and initiative.

• A global team environment.

• Accommodation support throughout the application process.