Senior Big Data Engineer – Spark and Java Technologies

Summary

Senior Big Data Engineer designs and builds scalable data pipelines using Spark and Java for a global banking client, enabling financial technology solutions and digital transformation.

Hook – one bold sentence
Empower innovative data-driven solutions—transform the future of financial technology with your expertise!

Location & Work Model
Warsaw-based opportunity with hybrid work model (3 days in the office, 2 remote)

Introduction
As a Senior Big Data Engineer, you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and fosters collaboration across multiple stakeholders. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth, offering substantial career development in the financial technology landscape.

Your main responsibilities:

  • Design and develop solutions for collecting, transforming, and processing large datasets efficiently using Spark and Java
  • Analyze data from various sources and translate insights into technical specifications
  • Implement and industrialize reliable, scalable, and resilient data processing jobs with Spark and Java
  • Conduct code reviews and collaborate with team members for continuous improvement
  • Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery
  • Stay current with evolving big data technologies and implement best practices
  • Support applications, troubleshoot production issues, and ensure high standards of quality
  • Produce comprehensive technical documentation, test plans, and project artifacts

You’re ideal for this role if you have:

  • 3-5 years of professional experience in big data engineering, ideally within banking or finance
  • Strong expertise in Spark and Java, with additional knowledge of Python, DevOps, CI/CD tools, and microservices
  • Fluency in English (business level)
  • Analytical mindset with excellent problem-solving skills
  • Proactive attitude and strong teamwork capabilities across global teams
  • Effective communication skills and the ability to work across different time zones

It is a strong plus if you have:

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

Language Required for the role:
Fluent English (required)

Eligibility for the role:
Only candidates with an existing legal right to work in the European Union will be considered.

#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.