3 дня назад
Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →