Назад
Company hidden
обновлено 8 дней назад

Data Engineering Manager (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Engineering Manager (Fintech): Leading the delivery and operation of scalable data platforms, pipelines, transformations, and infrastructure in a regulated financial services environment with an accent on reliability, governance, security, and cost performance. Focus on building high-performing engineering teams, enforcing testing and CI/CD standards, resolving production incidents, and maintaining auditable data systems at scale.

Location: Hybrid role based at the Bristol head office (BS1 5HL), with a mix of office and home working

Company

hirify.global is a UK investment platform helping private investors save and invest for the future.

What you will do

  • Lead, hire, coach, and develop a team of data engineers while setting clear expectations for quality and ownership.
  • Own end-to-end delivery of data pipelines, transformations, platform components, and production operations.
  • Ensure pipelines are idempotent, tested, observable, documented, auditable, recoverable, and secure by default.
  • Run monitoring, incident response, root-cause analysis, and continuous operational improvement.
  • Define engineering standards covering coding conventions, testing, CI/CD, code review, documentation, and technical debt management.
  • Optimise infrastructure cost and performance while partnering with Data Product Managers and the Principal Data Modeller on priorities and standards.

Requirements

  • 8+ years of experience in data engineering or software engineering, including 2–3 years in people management.
  • Experience delivering and operating production data platforms and pipelines at scale.
  • Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, or Redshift.
  • Experience with orchestration tools such as Airflow or Dagster, CI/CD, and automated deployment.
  • Strong operational mindset covering reliability, monitoring, incident response, cost management, and stakeholder trade-offs.
  • Experience building high-performing engineering teams and working in regulated financial services, insurance, or banking environments.

Nice to have

  • Experience with dbt, streaming or event-driven architectures, semantic or metrics layers, and feature engineering patterns.
  • Experience optimising platform costs and using data governance tools such as catalogues, lineage tools, or quality frameworks.
  • Experience supporting AI/ML feature pipelines or model-serving infrastructure.

Culture & Benefits

  • 37.5-hour Monday-to-Friday schedule with flexible hybrid working.
  • Annual bonus, annual pay review, 25 days of holiday plus bank holidays, and an additional Christmas closure day.
  • Enhanced parental leave, pension contributions of up to 11%, income protection, life insurance, and private medical insurance.
  • Health screening, wellbeing support, remote GP access, fitness benefits, and subsidised food and coffee.
  • Two paid volunteering days per year and multiple travel-to-work schemes.

Hiring process

  • Three stages: initial screening call, technical competency-based questions, and a scenario task.
  • Employment sponsorship is not available.

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 →