Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая роль аналитического инженера в известной финтех-компании: современный стек и важные задачи с финансовыми данными. Зарплата не указана, поэтому оценить условия оплаты сложнее.
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Зарплата не указанаСовременный стекФинансовые технологииПонятные задачиРазвитие внутри
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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