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2 дня назад

Data Software Engineer (Java/Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Spain
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 Software Engineer (Data Platform): Building and optimizing scalable data services and ingestion pipelines with an accent on high-performance streaming and distributed processing. Focus on designing robust, maintainable systems using Kafka, Spark/Flink, and a DevOps mindset to support high-volume digital markets.

Location: Must be based in or able to work from Madrid, Spain (Hybrid)

Company

hirify.global is a product-driven technology company building innovative, high-volume online betting platforms with a focus on excellence and a collaborative, multicultural environment.

What you will do

  • Build and expose ingestion, transformation, and data-quality capabilities as a service for internal teams.
  • Develop connector-based integration capabilities using Kafka and Kafka Connect.
  • Orchestrate distributed processing engines like Apache Spark, Flink, or Beam behind clean service APIs.
  • Implement comprehensive monitoring and alerting to ensure service health and data quality.
  • Investigate and resolve production issues to improve system reliability and efficiency.
  • Utilize AI-assisted engineering tools responsibly to support development, documentation, and troubleshooting.

Requirements

  • Must be based in or able to work from Madrid, Spain.
  • Solid software engineering fundamentals with expertise in Java and/or Python.
  • Strong experience with high-velocity data ingestion using Kafka and Kafka Connect.
  • Hands-on experience with stream or batch processing technologies like Apache Spark, Flink, or Beam.
  • Strong SQL skills with experience in relational and NoSQL database tuning.
  • Good communication skills in English, both written and spoken.
  • Pragmatic approach to building reliable, observable, and maintainable production software.

Nice to have

  • Experience with Kubernetes, Docker, and ArgoCD.
  • Knowledge of Apache Iceberg or Exasol.
  • Experience defining data quality standards and KPIs.
  • Proficiency in Shell scripting.

Culture & Benefits

  • Hybrid working model with flexible hours.
  • Private life and health insurance for you and your family.
  • Pension plan and gym reimbursement.
  • 25 days of annual leave plus 3 paid volunteering days.
  • Learning budget for personal development.
  • Four weeks per year to work from anywhere.

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