Senior Big Data Engineer – Java and Spark

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.