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11 часов назад

Lead Data Engineer (Fintech)

92 701 - 109 060GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Lead Data Engineer (Cloud/AI): Leading the data engineering capability for the Security Data and AI lab to build intelligent, proactive defence systems with an accent on scalable data pipelines and secure-by-design principles. Focus on defining the data engineering strategy, owning production-grade foundations for AI/ML, and mentoring a high-performing engineering culture.

Location: Hybrid (minimum 2 days per week in office) in Edinburgh, Bristol, Leeds, or Manchester, UK

Salary: £92,701 - £109,060

Company

A pioneering financial institution transforming the future of finance and security through AI-driven capabilities.

What you will do

  • Shape and lead the lab’s data engineering capability, defining the strategy and technical roadmap.
  • Design, build, and operate scalable data platforms and pipelines within a complex enterprise environment.
  • Enable production-grade data foundations for AI, machine learning, and advanced analytics.
  • Embed secure-by-design principles and engineering best practices including CI/CD, automated testing, and observability.
  • Partner with Security, Cloud, Architecture, and Product teams to deliver high-impact outcomes.
  • Mentor engineers and foster a high-performing engineering culture.

Requirements

  • Proven experience leading technical delivery and mentoring engineers in a senior or lead capacity.
  • Strong experience designing and operating scalable data platforms in complex environments.
  • Experience with cloud-native data platforms (Azure, AWS, or GCP).
  • Deep understanding of data modelling, quality, metadata, lineage, and governance principles.
  • Proficiency in engineering best practices such as CI/CD and version control.
  • Must be based in the UK and able to work hybridly from the specified office locations.

Nice to have

  • Exposure to MLOps or SMLOps tooling and model lifecycle management.
  • Experience supporting AI/ML pipelines and feature engineering.
  • Knowledge of AI governance and secure adoption of generative or agentic AI.
  • Experience working in security-focused or regulated environments.
  • Familiarity with event-driven or streaming data architectures.

Culture & Benefits

  • Generous pension contribution of up to 15%.
  • Annual performance-based bonus and share schemes.
  • 30 days of holiday plus bank holidays.
  • Flexible working options and extensive wellbeing initiatives.
  • Inclusive environment with strong commitments to diversity, equity, and disability support.

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