Fullstack Java &React

PKO Finat Sp. z o.o. is the employer offering this position. The role involves working on building Data Lake and Data Warehouse solutions, data feeding processes both online and offline, and developing chat with data tools. The work environment includes regulated banking conditions with audit, compliance, data classification, and security processes.

• Proficiency in frontend development with React.
• Experience building web applications with conversational features such as chat, streaming responses, conversation history, user feedback, and source justification presentation.
• Backend development experience with Java, including API design and development.
• Basic knowledge of BigQuery and SQL.
• Ability to design ergonomic user interfaces for data including tables, charts, drill down, and export.
• Experience working in teams using Git, code review, quality standards, documentation, and testing (unit, integration, e2e).
• Experience in production environments with CI/CD, monitoring, logging, and incident response.
• Willingness to collaborate with AI Engineers and data teams on API contracts, data formats, validations, and cost constraints.

Nice to have:

• Knowledge of semantic/metrics layer solutions, caching, pre-aggregations, and metric governance.
• Familiarity with conversational analytics tools and product patterns for chat with data.
• Experience with UI and data visualization libraries.
• Knowledge of GCP services such as Cloud Run and Pub/Sub.
• Basic containerization and deployment skills with Docker and Kubernetes.
• Experience in regulated banking environments including audit, compliance, data classification, and security processes.

• Develop frontend applications using React.
• Build backend services with Java, focusing on API design and development.
• Work with BigQuery and SQL for data querying.
• Design ergonomic UI for data presentation including tables, charts, drill down, and export features.
• Collaborate in a team environment using Git, code reviews, quality standards, documentation, and testing (unit, integration, e2e).
• Operate in production environments with CI/CD, monitoring, logging, and incident response.
• Cooperate with AI Engineers and data teams on API contracts, data formats, validations, and cost constraints.

Nice to have:

• Knowledge of semantic/metrics layer solutions including caching, pre-aggregations, and metric governance.

• Experience with conversational analytics tools and product patterns for chat with data (citations, SQL display, explore vs answer modes, trust scoring).

• Familiarity with UI and data visualization libraries.

• Experience with GCP services such as Cloud Run and Pub/Sub.

• Basic knowledge of containerization and deployments using Docker and Kubernetes.

• Experience in regulated environments (banking) including audit, compliance, data classification, and security processes.

• Build Data Lake and DWH solutions with online and offline data feeding.

• Analyze data and prepare logical and physical models.

• Tune SQL queries on relational and cloud-based databases.

• Create offline and online data flows using on-prem and GCP tools.

• Develop data loading solutions in Python and Rust for structured and unstructured data.

• Develop and enhance chat with data tools from conversation layer to query generation and response presentation.

• Implement solutions based on business requirements.

• Troubleshoot incidents and support problem resolution.

• Support testing and deployment of data feeding processes.

• Maintain deployed software.

• Work according to DevSecOps model.