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Senior Database Engineer (AI-Enabled Data Platform)

Open 28d

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+)

Benefits

  • Dynamic, entrepreneurial corporate environment
  • Diverse multicultural, multi-functional, and multilingual work environment
  • Opportunities for personal and career growth in a progressive industry
  • Global scope, international projects
  • Widespread training and development opportunities
  • Access to LinkedIn Learning solutions
  • Competitive salary and various benefits
  • Advanced wellbeing and CSR programs, recreation area

See also

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