Senior Big Data Engineer – Spark and Scala in Finance

Our client is a leader in structured finance within the global banking industry, working on building and optimizing a state-of-the-art data platform to support complex business processes and collaboration in the financial sector.

• 3-5 years of professional experience in big data engineering, preferably in banking or finance.
• Strong expertise in Spark and Java or Scala.
• Additional knowledge of Python, DevOps, CI/CD tools, and microservices.
• Fluent English communication skills.
• Analytical mindset with excellent problem-solving abilities.
• Proactive attitude and strong teamwork skills across global teams.
• Effective communication and ability to work 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 technical specifications.
• Implement and industrialize reliable, scalable, and resilient data processing jobs using Spark and Scala.
• Conduct code reviews and collaborate with team members to ensure continuous improvement.
• Contribute to agile teams delivering value through Scrum cycles.
• Stay up-to-date with evolving big data technologies and best practices.
• Support applications, troubleshoot production issues, and maintain 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 for this role.