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3 дня назад

Data Engineer (AI)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (AI) (SQL/Python, Airflow/dbt): Building scalable data pipelines, data services, and APIs that support analytics, machine learning workloads, and product-facing applications with an accent on cloud-native infrastructure, data quality, privacy, and security. Focus on designing reliable data platforms, implementing observability and performance optimization, and bridging analytical and operational data systems.

Location: Remote, UK

Company

hirify.global provides a platform connecting researchers and companies with a global participant pool to collect ethically sourced human behavioral data for AI development.

What you will do

  • Build and maintain data pipelines from internal databases, SaaS sources, and streaming systems for analytics, machine learning workloads, and product applications.
  • Evolve a scalable, reliable, and self-service data platform with Terraform and Kubernetes-based Argo deployments.
  • Design data infrastructure, services, and APIs that connect analytical systems with operational and product-facing applications.
  • Own data quality and observability through monitoring, testing, alerting, and performance optimization.
  • Partner with AI engineers, data scientists, analysts, and product teams to design data solutions.
  • Maintain strong data privacy, security, compliance, architecture, and systems documentation.

Requirements

  • 3+ years of experience building and shipping production-grade data systems.
  • Strong SQL skills and proficiency in Python or another object-oriented language such as Java or Scala.
  • Hands-on experience with data pipeline tools including Airflow and dbt.
  • Experience with cloud-native infrastructure; familiarity with Terraform, Kubernetes, or similar tools.
  • Experience designing data APIs or services, or strong interest in analytical and operational systems.
  • Strong collaboration, analytical problem-solving, testing, code review, documentation, and independent delivery skills.

Culture & Benefits

  • Remote working within a mission-driven AI organization.
  • Competitive salary and benefits.
  • Work with a human data platform supporting research and AI innovation.
  • Collaborate across engineering, data science, AI, analytics, and product teams.

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