Back to SearchSenior Database Engineer (AI-Enabled Data Platform)
Hybrid in Hungary
Database Management & Operations& 3 others
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We are seeking an experienced Database Engineer to support the design, build, migration, and optimization of a strategic KYC data platform supporting the transition from an existing KYC platform to a modern solution. The role will focus on database development, performance optimization, data migration, and integration activities while leveraging AI-enabled delivery practices to accelerate implementation and improve delivery quality.
Responsibilities
- Design, develop, and maintain database schemas, structures, and database objects supporting the KYC data platform
- Implement data models and database solutions aligned with target architecture and business requirements
- Support data migration activities, including data loading, transformation, reconciliation, and validation
- Develop and optimize SQL queries, scripts, stored procedures, and database automation processes
- Monitor and improve database performance, scalability, reliability, and security
- Collaborate with Data Architects, Solution Architects, developers, and integration teams to ensure seamless data flows and platform performance
- Support integration between legacy KYC systems, enterprise data platforms, and downstream applications
- Utilize AI-enabled tools to accelerate database development, testing, troubleshooting, and documentation activities
- Ensure all AI-generated code and database artefacts are reviewed, validated, and compliant with project standards
- Contribute to testing, deployment, go-live, and post-production support activities while maintaining high standards of data integrity and operational stability
Requirements
- 5+ years of experience in Database Engineering, Database Development, or Data Engineering
- Strong experience with relational database technologies, including PostgreSQL and enterprise database platforms
- Expertise in database design, schema development, data modelling implementation, performance tuning, and query optimization
- Experience supporting large-scale data migration, ETL/ELT processes, and data integration initiatives
- Proficiency in SQL, database scripting, stored procedures, and automation techniques
- Experience working with cloud-based database services and modern data platform architectures
- Hands-on experience using AI tools such as GitHub Copilot, Claude, ChatGPT Enterprise, or similar technologies to support development, database design, testing, and documentation
- Understanding of AI-assisted delivery approaches and governance practices for AI-generated artefacts
- Experience in banking, financial services, or other regulated environments is desirable
- Strong problem-solving, communication, and collaboration skills
- English: Upper-Intermediate (B2+)