Data Engineer (AI)

TL;DR

Data Engineer (AI): Developing and maintaining a modern data platform for patent search and analysis with an accent on building robust data pipelines and ensuring data quality. Focus on collaborating with cross-functional teams to drive business impact through data solutions.

Location: Hybrid (Finland)

Company

hirify.global is a Helsinki based SaaS company that builds AI tools to make patent search and analysis faster, smarter and more reliable.

What you will do

• Develop and maintain our data platform, built on GCP and orchestrated with Dagster.
• Implement ELT pipelines and data workflows; optimise for performance, observability and reliability.
• Build monitoring, data quality checks and lineage visibility.
• Collaborate closely with cross-functional teams to deliver data solutions.
• Work with open-source tooling, host and manage infrastructure.
• Leverage technologies like Dagster, Vespa.ai, GCP, PostgreSQL, Ray Data, Kubernetes and GPUs.

Requirements

• Proven experience in data engineering: data lakes / lakehouse architectures, ELT pipelines.
• Strong SQL skills and experience with both Python and data infrastructure.
• Familiarity with cloud environments (GCP preferred) and container/orchestration tools.
• Experience with open-source data infrastructure.
• Startup or scale-up experience is a plus.