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3 дня назад

Data Engineer IV (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Engineer IV (AI) (Data Platforms/AI): Designing and leading the build-out of a scalable, reliable, AI-ready data and analytics platform with an accent on automated pipelines, real-time analytics, and production AI/ML data products. Focus on building vector and feature stores, integrating LLM-adjacent workflows, optimizing cloud infrastructure, and enforcing security, governance, and compliance at scale.

Location: Glasgow, Glasgow City, United Kingdom

Company

hirify.global develops cloud-based, AI-powered dental practice management, imaging, and revenue cycle automation software for dental organizations.

What you will do

  • Architect and build AI-ready data pipelines and automated ELT workflows for real-time analytics, machine learning model serving, and generative AI applications.
  • Lead the design of a modern data platform with vector stores, feature stores, LLM integrations, and AI-powered analytics infrastructure.
  • Define data models and reliable data delivery in partnership with Product, Engineering, and Data Science.
  • Establish engineering standards for version control, data quality, documentation, testing, and intelligent pipeline observability.
  • Lead cross-functional data initiatives, shape the long-term data strategy, and mentor junior and mid-level data engineers.
  • Optimize platform performance, cost, reliability, security, governance, and compliance, including HIPAA requirements.

Requirements

  • 8–11+ years of data engineering experience with progression to senior or staff-level responsibilities.
  • Expert SQL skills and proficiency in Python, Scala, or Java.
  • Experience with data pipelines and ELT using Apache Spark, Airflow, dbt, or equivalent technologies.
  • Experience designing cloud data platforms on AWS, Azure, or GCP, including data lakes, warehouses, and AI/ML platforms.
  • Knowledge of data modeling, large-scale database optimization, real-time streaming architectures, and technologies such as Kafka or Kinesis.
  • Hands-on experience with feature stores, vector databases, RAG or embedding pipelines, data governance, quality frameworks, and compliance requirements.

Nice to have

  • Familiarity with HIPAA and other applicable regulations.
  • Experience using AI development tools for engineering, code review, documentation, data modeling, and quality monitoring.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Culture & Benefits

  • Collaborative, empathetic, accountable, trustworthy, and ambitious working principles.
  • Medical and dental insurance, life assurance, and income protection.
  • 23 days of annual leave, 8 public holidays, company-paid sick time, and volunteer time off.
  • Employee well-being program, technology stipend, referral program, and additional voluntary benefits.

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