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August 8, 2026

Senior Big Data Engineer – Java and Spark

Senior • Remote

23,100 - 31,500 PLN

Warsaw, MZ, Poland

Location & Work Model

Warsaw-based opportunity with a hybrid work model, with up to 2 remote days per week.

Description

As a Senior Big Data Engineer – Java and Spark, you will work on building and optimizing a state-of-the-art data platform supporting complex financial workflows and collaboration across multiple stakeholders. The role focuses on delivering impactful data solutions that support digital transformation in the financial sector.

Responsibilities

  • Design and develop solutions to collect, transform, and process large datasets efficiently.
  • Analyze data from multiple sources and translate insights into detailed technical specifications.
  • Implement and industrialize reliable, scalable, and resilient data-processing jobs using Spark and Java.
  • Conduct code reviews and collaborate with team members to drive continuous improvement.
  • Contribute to Agile teams delivering value through Scrum cycles and support innovative project delivery.
  • Keep current with evolving big-data technologies and apply best practices.
  • Support applications, troubleshoot production issues, and maintain high-quality standards.
  • Produce comprehensive technical documentation, test plans, and project artifacts.

Requirements

  • 3–5 years of professional experience in big data engineering, ideally in banking or finance.
  • Strong expertise in Spark and Java.
  • Knowledge of DevOps, CI/CD tools, and microservices.
  • Fluent written and spoken English.
  • Analytical mindset and excellent problem-solving skills.
  • Proactive approach and strong teamwork skills in global teams.
  • Effective communication skills and ability to work across time zones.
  • Existing legal right to work in the European Union.

Preferred Qualifications

  • Knowledge of Python.
  • Knowledge of Airflow, Git, and modern data-architecture strategies.
  • Experience with Agile methodologies and delivering solutions in fast-paced environments.

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