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3 дня назад

Analytics Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Netherlands/Italy
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) (SQL/Python/dbt): Building and maintaining financial data models, BI tooling, and data quality frameworks for payment reconciliation with an accent on robust pipelines, accurate money-movement data, and actionable financial reporting. Focus on developing dbt models from raw data to marts, validating critical payment metrics, and communicating complex findings to technical and non-technical stakeholders.

Location: Hybrid in Milan or Amsterdam

Company

hirify.global provides payment and money management products used by more than 250,000 businesses across Europe.

What you will do

  • Build and maintain dbt data models from raw source data to consumable mart tables for payment metrics and payment method performance dashboards.
  • Build and maintain BI tooling for data visualisation and extraction by end users.
  • Work with engineers to understand money movements and ensure financial data accuracy.
  • Partner with Merchant Finance, Treasury, and Payments stakeholders to define financial data requirements and enable daily reconciliation.
  • Create data visualisations, presentations, reports, and memos for technical and non-technical audiences.
  • Implement data quality checks, testing frameworks, monitoring, documentation, and analytics best practices, including mentoring team members.

Requirements

  • Strong technical foundation in SQL and Python, with experience in data modelling and automation.
  • Strong experience with dbt.
  • Ability to switch between high-level thinking and hands-on implementation.
  • Strong stakeholder management skills across technical and non-technical teams.
  • Business awareness, an impact-driven approach, and curiosity.

Nice to have

  • Experience with BigQuery, GCP, and Airflow.
  • Experience with financial data and financial processes.

Culture & Benefits

  • Work in small teams with autonomy, ownership, and trust.
  • Receive regular feedback and performance reviews.
  • Access fair and transparent salary reviews and opportunities for internal mobility.
  • Receive support, tools, and opportunities for personal development and career growth.
  • Use AI across teams and roles to simplify work, improve decision-making, and build finance products.

Hiring process

  • Apply with a CV in English.

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