Senior Database Engineer (AI-Enabled Data Platform)

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+)