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3 дня назад

Senior Big Data Engineer – Financial Services

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Big Data Engineer – Financial Services (Spark/Hadoop/Kafka): Designing, developing, and optimizing scalable big data pipelines for financial services with an accent on high-performance processing, CI/CD, and DevOps automation. Focus on building reliable data solutions with Spark, Hadoop, Hive, and Kafka, troubleshooting system performance, and collaborating with Paris-based counterparts.

Location: Lisbon, Portugal; hybrid work with up to 3 days remote per week. Candidates must have an existing legal right to work in the European Union.

Company

Work is performed for a financial services client focused on using big data technologies to improve operational efficiency and customer insights.

What you will do

  • Design, develop, and optimize big data pipelines with Spark, Hadoop, Hive, and Kafka.
  • Build scalable, high-performance data solutions aligned with business goals.
  • Manage source code and deployment pipelines using Git, XL Release, and XL Deploy.
  • Monitor system performance, troubleshoot issues, and implement optimization strategies.
  • Apply DevOps practices to improve development workflows and automation.
  • Collaborate with cross-functional teams and Paris-based counterparts while maintaining clear documentation.

Requirements

  • At least 9 years of software engineering experience, including big data technologies in financial or related sectors.
  • Strong expertise in Spark, Python, Hadoop, Hive, SQL, Linux, APIs, and Kafka.
  • Experience with CI/CD pipelines, Git, XL Release, and XL Deploy.
  • Familiarity with DevOps concepts and scheduling tools such as CTRL-M.
  • Fluent English at C1 level or higher.
  • Existing legal right to work in the European Union.

Nice to have

  • Knowledge of French.
  • Certifications in big data or cloud technologies.
  • Experience with large-scale data architecture in financial services projects.

Culture & Benefits

  • Hybrid work model with up to three remote days per week.
  • International, distributed collaboration with teams in Lisbon and Paris.
  • Collaborative environment focused on knowledge sharing and continuous learning.
  • Opportunity to work on large-scale financial services data solutions.

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