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8 часов назад

Staff Engineer (Data)

100 000 - 120 000GBP
Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Engineer (Data Architecture): Driving architecture and technical strategy for the Data domain, bridging transactional, analytical, and AI systems with an accent on OLAP/OLTP foundations and AI-first engineering. Focus on architecting infrastructure for LLM orchestration, RAG, and real-time model inference at scale.

Location: Remote (Must be based in the United Kingdom)

Salary: £100,000 - £120,000

Company

hirify.global provides MIS and school management tools to transform how schools work, focusing on reducing staff burnout and leveraging data for actionable insights.

What you will do

  • Define and evangelise target architectures that bridge transactional, analytical, and AI systems.
  • Lead the end-to-end data lifecycle, including OLTP schema design, migrations, and OLAP governance.
  • Architect infrastructure for LLM orchestration, Retrieval-Augmented Generation (RAG), and real-time model inference.
  • Mentor and coach Technical Leads and Senior Engineers on architectural and engineering excellence.
  • Collaborate with Product Directors to translate product vision into technical deliverables.
  • Lead the transition to an AI-First way of working to drive productivity and product capabilities.

Requirements

  • Extensive experience overseeing data architecture with a track record in OLAP domains.
  • Strong expertise in data modelling (Star, Medallion) and cloud-native distributed systems (e.g., Snowflake).
  • Experience building and leveraging unstructured data across disparate systems.
  • Practical knowledge of DataOps, CI/CD for data, and orchestration tools (AWS, Debezium, Git, IaC).
  • Ability to influence both technical and non-technical audiences to achieve strategic outcomes.
  • Must have existing right to work in the UK; visa sponsorship is not provided.

Nice to have

  • Experience in AI/ML Engineering, MLOps, and model deployment/monitoring.
  • Knowledge of federated learning or privacy-enhancing technologies (PETs).
  • Practical experience with LLM Ops, prompt engineering at scale, and token cost optimisation.

Culture & Benefits

  • 32 days holiday plus Bank Holidays (includes company-wide days over Easter, Summer, and Christmas).
  • Comprehensive wellness package including AIG Smart Health (virtual GP, mental health support) and Bupa Dental Insurance.
  • Financial security via Life Assurance (3x annual salary) and Salary sacrifice Pension.
  • Enhanced parental leave (20 weeks full pay for maternity/adoption, 6 weeks for paternity).
  • Dedicated professional development training budget for upskilling and certifications.
  • Flexible working arrangements and dog-friendly offices.

Hiring process

  • Phone screen
  • First stage interview
  • Second stage interview

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