Senior Big Data Engineer – Java and Spark

Our client is a leader in structured finance within the global banking industry, focused on building and optimizing state-of-the-art data platforms that support complex financial workflows.

• 3-5 years of professional experience in big data engineering, ideally within banking or finance sectors.
• Strong expertise in Spark and Java.
• Additional knowledge of Python, DevOps, CI/CD tools, and microservices is a plus.
• Fluent 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.

Nice to have:

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

• 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.

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