aidata engineeringmysqldbtgcpbigqueryflinkstartuppostgresqldataflow
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
По международному рынку данных пока нет
На СНГ рынке: $5.3к/мес ($4.2к - $5.9к)
83
Хорошая вакансия
развернуть
Чётко обозначенная руководящая роль в хорошо финансируемом финтехе с современной инфраструктурой данных и заметной зоной ответственности; будущий переход от удалёнки к гибриду оставляет неопределённость по формату работы.
Кликните для подробной информации
Переход на гибридСовременный стекРастущий финтехШирокая ответственность
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineering Manager (Fintech): Leading data engineering and DBA teams while building streaming and batch data infrastructure with an accent on GCP, BigQuery, dbt, Apache Flink, and AI-native operations. Focus on designing reliable analytical platforms, improving data quality and observability, and aligning pipelines with business and product decisions.
Location: Remote in Colombia; conditions: Bogotá. The work model is currently fully remote, with a future transition to hybrid.
Company
hirify.global is building an AI-powered financial companion for Latinos in the US, combining conversational interfaces with real-time financial infrastructure for cross-border money movement, remittances, credit, savings, and wallet services.
What you will do
Lead, scale, and mentor the core data engineering squad and provide high-level management for the DBA team.
Drive infrastructure projects across streaming and batch data environments using GCP, BigQuery, dbt, and Apache Flink.
Embed AI into pipeline development, platform operations, and data access layer workflows.
Support the DBA team in maintaining transactional database reliability, uptime, and integration with the analytical platform.
Set standards for data quality, testing, observability, documentation, platform governance, and cloud cost optimization.
Align data pipelines and metrics with business decisions, product goals, and measurable impact.
Requirements
Proven experience leading data engineering teams while writing code, reviewing pull requests, and solving complex system problems directly.
Strong Google Cloud Platform experience, specifically with BigQuery and cloud data processing.
Practical expertise with dbt for transformation models and Apache Flink or Dataflow for real-time streaming data.
Active use of modern AI coding assistants and automation workflows, with a focus on applying AI to increase team impact.
Experience managing relational database teams working with technologies such as PostgreSQL or MySQL, without requiring deep day-to-day DBA execution.
High standards for clean architecture, platform governance, documentation, data quality, testing, observability, and cost optimization.
Excellent communication skills and advanced English proficiency.
Nice to have
Spanish language skills.
Culture & Benefits
Fully remote work model at present, with a planned future transition to hybrid work.
Competitive salary, an initial stock options grant, and an annual performance bonus.
Health, dental, and vision plans.
Continuous learning opportunities and growth in an entrepreneurial environment.
Unlimited paid time off and paid parental leave.
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 →