Data Platform Engineer (AI)

TL;DR

Data Platform Engineer (AI): Building and improving the internal data platform that powers ingestion, transformation, and delivery with an accent on Kubernetes, Airflow, and AI-assisted development. Focus on designing scalable data pipelines, managing infrastructure as code, and integrating AI agents to enable self-serve data access across the organization.

Location: Hybrid setup in Helsinki, Dublin, or Amsterdam

Company

hirify.global is a marketing intelligence platform that processes a significant share of global online ad spend, helping over 200,000 organizations turn marketing data into actionable insights.

What you will do

• Own core data platform components and services in collaboration with Analytics and Data Governance teams.
• Manage event tracking infrastructure and custom data loaders.
• Develop and maintain data integrations using Airflow and custom pipelines.
• Implement MCP servers to enable AI agents to query governed data layers.
• Manage deployment workflows using Kubernetes, ArgoCD, and GitOps.
• Contribute to analytics tooling including dbt, Looker, and OpenMetadata.

Requirements

• 3+ years of experience in platform engineering, data engineering, or infrastructure-focused software development.
• Strong background in cloud platforms, specifically GCP.
• Proficiency in Python and SQL.
• Experience managing data platforms and pipelines on Kubernetes.
• Experience with orchestration tools, specifically Airflow.
• Experience with CI/CD principles and tools.

Culture & Benefits

• Real ownership of critical infrastructure used by the entire organization.
• Collaborative team environment that actively integrates AI into development workflows.
• Hybrid work model with offices in Helsinki, Dublin, and Amsterdam.
• Attractive compensation and benefits package.