Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (Python/SQL): Building and maintaining scalable data pipelines and infrastructure to support AI development with an accent on data quality, privacy, and operational reliability. Focus on designing data APIs, optimizing ML workloads, and evolving a cloud-native platform using Kubernetes and Terraform.

Location: Remote, must be based in the UK

Company

hirify.global architects the human data infrastructure that enables the collection of high-quality, ethically sourced behavioral data to improve AI development.

What you will do

• Develop data pipelines powering analytics, ML workloads, and product-facing applications.
• Evolve the data platform using Terraform and Kubernetes-based deployments (Argo) to ensure scalability and reliability.
• Design and implement scalable data infrastructure to accommodate growing data volume and complexity.
• Build data services and APIs that bridge analytical and operational systems for product applications.
• Establish data quality and observability by implementing monitoring, testing, and alerting.
• Collaborate with AI engineers, data scientists, and product teams to design optimal data solutions.

Requirements

• 3+ years of experience building and shipping production-grade data systems.
• Strong SQL skills and proficiency in Python (or Java/Scala).
• Hands-on experience with data pipeline tools such as Airflow and dbt.
• Familiarity with cloud-native infrastructure, specifically 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.
• Remote working arrangement within an impactful, mission-driven culture.
• Competitive salary and benefits.
• Exposure to groundbreaking research and advanced data engineering practices.