Senior Data Engineer (Java, Databricks)

Our client is a leading global financial services firm providing wealth management, investment banking, and asset management services to clients worldwide.

• Strong Java engineering background with proven experience to design and implement complex backend systems and integrations
• Experience with modern data and processing technologies, including streaming, real-time and batch processing; exposure to Databricks and Kubernetes is a plus
• Experience with DevOps practices and CI/CD pipelines (e.g., ADO, GitHub, or GitLab)
• Well-versed in cloud architecture with experience to deliver solutions on major cloud providers, preferably Azure, AWS or GCP
• Strong communication skills with the ability to collaborate with stakeholders and guide developers, with ambition to grow into a Solution Architect role

• Own the end-to-end solution and application architecture for the strategic platform that enables trade flows from Dealstores to Operations and Regulatory systems, translates epics and features into scalable, resilient solutions
• Translate business and product requirements into high-level and low-level designs, including integration patterns, data flows, interfaces, and deployment topology decisions
• Provide technical guidance to Java developers within the team by defining implementation approaches, reviewing designs and code, and ensuring adherence to architecture and engineering best practices
• Design and develop key platform components in Java and related technologies, with a balance of hands-on development and architectural responsibilities
• Collaborate with product teams and stakeholders to understand and challenge requirements, propose architectural options, and ensure alignment with strategic goals
• Work with cross-functional agile teams in sprints to deliver product requirements iteratively, with solutions that are secure, performant, and observable

This is a hybrid role requiring presence in the client's office in Krakow 3 days a week, with flexible working hours.