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6 дней назад

Analytics Engineer (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Engineer (Fintech): Building reliable reporting datasets, reconciliations, and dbt pipelines for an international money movement business with an accent on regulatory reporting, data quality, and automation. Focus on designing reusable models, catching reconciliation issues, and supporting new payment products and markets.

Location: London, United Kingdom. The role requires the right to work in the UK.

Company

hirify.global operates a money movement business handling billions of dollars monthly across six continents, including remittances, cards, wallets, business-to-business payments, and institutional payments.

What you will do

  • Own the datasets supporting month-end close and regulatory reporting.
  • Automate manual reporting and reconciliation work into scheduled pipelines, runbooks, and reusable dbt models.
  • Build reports and reconciliations for new products and markets as they launch.
  • Create models that enable people and AI agents to answer recurring data requests.
  • Build tests, checks, and alerts to identify reconciliation breaks and stale data.
  • Collaborate with Finance, Compliance, Treasury, Product, and Data Engineering; review code and participate in weekly meetups.

Requirements

  • 1–2+ years of experience in a data or analytics role.
  • A technical or quantitative degree, or equivalent experience.
  • Strong SQL skills and experience working with messy, complex data.
  • Some experience automating repetitive work, such as scripts or scheduled jobs.
  • Strong ownership, including fixing broken, ownerless, or late work and preventing recurring issues.
  • Reliability under deadlines, a “no task too small” attitude, and comfort following up with stakeholders.
  • Right to work in the UK.

Nice to have

  • Startup or scale-up experience.
  • Python or R.
  • dbt.
  • Looker or Mode.
  • A project built at work or independently to replace a manual process.

Culture & Benefits

  • Lean, talent-dense team with early ownership of meaningful work.
  • Opportunities to expand scope quickly based on capability rather than years of experience.
  • Learning dbt, testing, automation, and AI tooling from senior analytics engineers.
  • Exposure to the full money-transfer lifecycle, from customer initiation through partner payout, reconciliation, and regulatory reporting.

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