Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (Python/SQL): Building scalable data solutions and human data infrastructure for AI development with an accent on production-grade data systems and cloud-native infrastructure. Focus on designing data APIs, optimizing pipelines with Airflow and dbt, and ensuring high data quality and observability.

Location: Remote, must be based in the UK

Company

hirify.global is an architect of human data infrastructure designed to improve the quality and diversity of human-generated data used in AI development.

What you will do

• Build and maintain data pipelines powering analytics, ML workloads, and product-facing applications from various sources.
• Evolve the data platform using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo).
• Design and implement scalable data infrastructure to handle growing volume and complexity.
• Develop data services and APIs that bridge the gap between analytical and operational systems.
• Own data quality and observability by implementing monitoring, testing, and alerting systems.
• Collaborate with AI engineers, data scientists, and product teams to design efficient and scalable data solutions.

Requirements

• 3+ years of experience building and shipping production-grade data systems.
• Strong proficiency in SQL and Python (or other OO languages like Java or Scala).
• Hands-on experience with data pipeline tools such as Airflow and dbt.
• Familiarity with cloud-native infrastructure, including Terraform and Kubernetes.
• Experience designing data APIs or services that expose data to applications.
• Must be based in the UK.

Culture & Benefits

• Opportunity to work at the forefront of AI innovation with a unique human data platform.
• Impactful, mission-driven culture focused on ethical data sourcing.
• Competitive salary and comprehensive benefits package.
• Remote-first working arrangement.