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16 часов назад

Data Engineer (iGaming)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (iGaming): Building and scaling data infrastructure for real-time analytics and decision systems with an accent on ingestion pipelines, semantic modeling, and data governance. Focus on distributed processing, streaming integrations, data quality automation, access control, and high-performance platform operations.

Location: Remote, Europe

Company

hirify.global_TECH builds B2B iGaming platforms for operators, providing integrations, consulting, operational support, and scalable technology for millions of active players.

What you will do

  • Design scalable data transformation layers, production-grade data marts, and semantic models with consistent metrics.
  • Build and maintain end-to-end ingestion pipelines for internal services, third-party event streams, Kafka, Kinesis, and external APIs.
  • Automate data quality testing, schema validation, pipeline observability, and protection against silent schema drift.
  • Optimize queries and pipeline performance through indexing, partitioning, storage formats, and job scheduling.
  • Build REST APIs and enforce RBAC, row-level security, and column-level masking across data layers.
  • Automate CI/CD workflows and deployments while collaborating with product managers, engineers, and analysts on technical requirements and architecture.

Requirements

  • 3+ years of production experience in Data Engineering, Software Engineering, or related distributed data systems.
  • Strong hands-on SQL and database expertise with PostgreSQL and analytical or columnar warehouses such as ClickHouse, BigQuery, or Redshift.
  • Practical experience orchestrating distributed jobs with Spark, Trino, or Flink and handling event streaming engines such as Kafka, RabbitMQ, or Kinesis.
  • Proficiency in clean, modular Python for data applications, pipeline orchestration, and REST APIs.
  • Comfort with Linux, Dockerfiles, Git, and CI/CD pipelines using GitLab CI or GitHub Actions.
  • Direct experience implementing automated data testing, schema validation, and pipeline observability.

Nice to have

  • Infrastructure as Code experience with Terraform and exposure to AWS cloud services.
  • Experience with metadata management tools such as DataHub or OpenMetadata.
  • Understanding of distributed-systems resilience patterns, including circuit breakers, rate limiting, and connection pooling.
  • Degree in Computer Science, Software Engineering, or equivalent practical experience.

Culture & Benefits

  • Remote-first work with technical support and coworking compensation.
  • Annual benefits budget for sports, medical care, mental health, home office, and language learning.
  • Paid maternity and paternity leave, monthly childcare allowance, 20+ vacation days, unlimited sick leave, and emergency time off.
  • Online, offline, and offsite team events plus internal courses and growth programs.
  • Culture centered on trust, ownership, open feedback, experimentation, resilience, and continuous growth.

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