Назад
Company hidden
19 часов назад

Data Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Poland
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 Engineer (Fintech) (GCP/Kafka): Building and operating batch and real-time data pipelines and platform capabilities for analytics, compliance, and AI use cases with an accent on GCP consolidation, data quality, and reliable streaming ingestion. Focus on designing event-driven pipelines, implementing data contracts and observability, and enabling reproducible, AI-ready data in a regulated financial services environment.

Location: Kraków, Poland. Hybrid working model with 3 days in the office.

Company

hirify.global is a FTSE 100 fintech operating across five continents, serving more than 1.3 million customers and handling billions of dollars in transactions.

What you will do

  • Design and build robust batch and real-time data pipelines on GCP using Kafka, BigQuery, and Airflow.
  • Own data quality by implementing data contracts, quality checks, observability instrumentation, and SLA monitoring.
  • Develop and maintain in-house connectors and third-party integrations across the ingestion estate.
  • Contribute to code reviews, dbt modelling standards, CI/CD hygiene, and change control for shared datasets.
  • Support feature engineering and model data pipelines while enabling lineage, reproducibility, and freshness for AI and machine-learning workloads.

Requirements

  • Hands-on experience building and operating production-grade data pipelines on GCP with BigQuery, Cloud Composer/Airflow, GCS, and Cloud Run.
  • Strong SQL and Python skills.
  • Experience with Apache Kafka or equivalent streaming technologies and event-driven ingestion patterns.
  • Familiarity with dbt and Medallion architecture patterns.
  • Experience with data contracts, lineage tracking, observability tooling, and pipeline SLO monitoring.
  • Understanding of data governance requirements and change control in a regulated financial services environment.

Culture & Benefits

  • Hybrid working model designed to support collaboration and connection.
  • Tailored development programs, mentoring opportunities, career progression, and access to LinkedIn Learning.
  • Home office equipment reimbursement and performance-related bonus.
  • Private medical cover, life insurance, employee assistance, and well-being events.
  • Additional paid days off for birthdays, volunteering, and community work.
  • Employee share plans, Multikafeteria benefits, social clubs, and company events.

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 →