Our Client a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America are looking for Consultants to be part of the project
The Technology and Operations function is comprised of five teams of specialists with distinct capabilities: business partnership, technology, operations, risk governance and planning support and services. They work closely together to harness the power of technology to support our physical and digital banking services and operations. This includes developing, centralising and standardising technology systems as well as banking operations in Malaysia and overseas branches.
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Build data connectors: Design and ship robust connectors that ingest content from enterprise sources ā cloud storage, CRMs, ticketing systems, document stores, databases, and web/APIs.
Integrate connector ecosystems: Integrate with third-party data-connector and ingestion platforms, normalizing and mapping diverse, messy schemas into data model.
Deliver insights where users work: Build application-consumption integrations that surface business insights directly inside Microsoft Teams, Slack, and similar collaboration and productivity platforms.
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Production support mindset with confidence working in KTLO-style environments
Spec-Driven Development (SDD) and Test-Driven Development (TDD) experience
We are seeking an Integration Engineer (Java APIs). You build and support REST integrations that connect enterprise platforms across a major Australia and New Zealand technology portfolio. You will ship new features, keep services stable in production, and grow into AI-enabled delivery using tools like GitHub Copilot and client AI accelerators.
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Assist in the design, development, testing, and maintenance of enterprise web, mobile, and backend applications.
Learn and apply the complete Software Development Life Cycle (SDLC), from requirements gathering, solution design, development, testing, deployment, to production support.
Learn how to leverage the latest AI technologies and AI coding assistants to accelerate software development, including AI-powered code generation, code review, debugging, refactoring, documentation, and automated testing.
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Assist in the design, development, testing, and maintenance of enterprise web, mobile, and backend applications.
Learn and apply the complete Software Development Life Cycle (SDLC), from requirements gathering, solution design, development, testing, deployment, to production support.
Learn how to leverage the latest AI technologies and AI coding assistants to accelerate software development, including AI-powered code generation, code review, debugging, refactoring, documentation, and automated testing.
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Drive the implementation and optimization of centralized data repositories and data lake architectures, supporting enterprise-wide analytics and reporting.
Identify, diagnose, and resolve data-related issues, ensuring data quality, integrity, and availability for downstream analytics and business applications.
Apply advanced data modeling techniques to solve real-world business challenges, ensuring data consistency, integrity, and performance.
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On-Site Client Deployment: Work directly at the clientās designated location in KL City Centre to execute cloud infrastructure projects, deliver system integration, and manage technical client requirements.
Cloud Infrastructure Provisioning: Design, deploy, and maintain secure, highly available cloud environments (AWS, Azure, or GCP) aligned with client security and operational policies.
Automation & IaC: Write and manage clean Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Bicep to automate provisioning and minimize manual configuration.
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Software Development
Agile Methodologies
Java Development
Python Programming
Database Management
Cloud Computing
Problem Solving
Team Collaboration
Communication Skills
Version Control
API Development
Financial Software