Senior Big Data Engineer – Java and Spark

Unleash the power of big data to revolutionize financial technology — drive innovation at the forefront of banking transformation!

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

As a Senior Big Data Engineer – Java and Spark, 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 state-of-the-art data platform that supports complex financial workflows and fosters collaboration across multiple stakeholders. Join us to shape impactful data solutions that fuel digital transformation and unlock new growth avenues—your expertise will propel innovation in the financial sector.

Your main responsibilities:

• Design and develop solutions for collecting, transforming, and processing 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 ensure continuous improvement.
• Contribute to Agile teams delivering value through Scrum cycles and support innovative project delivery.
• Keep up-to-date with evolving big data technologies and apply best practices.
• Support applications, troubleshoot production issues, and ensure high-quality standards.
• 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 sectors.
• Strong expertise in Spark and Java, with additional knowledge of Python (nice to have), DevOps, CI/CD tools, and microservices.
• Fluent in English (spoken and written).
• Analytical mindset with excellent problem-solving skills.
• Proactive attitude with strong teamwork capabilities across global teams.
• Effective communication skills and ability to operate 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.

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.

Tech stack

• Java
• Apache Spark
• Big Data Engineering
• CI/CD
• Microservices
• Git
• Agile/Scrum
• DevOps
• Python
• Apache Airflow