Total 4 mobile application developer job vacancies in D02 Anson, Tanjong Pagar

Overview

The Senior Data Engineer will be an integral member of theairline's Data & Analytics engineering function, responsible for designing,building, and maintaining robust data pipelines, analytics platforms, andAI-integrated software solutions. A strong foundation in airline domainknowledge is central to this role — the ability to understand airline businessprocesses, operational data, and commercial workflows is what drives thedevelopment of meaningful, fit-for-purpose software solutions rather than generictechnical outputs. The role requires strong software engineering fundamentalscombined with deep expertise in data engineering, analytics tooling, andapplied AI development. This position suits a technically seasoned developerwho has built scalable data systems, taken end-to-end ownership of analyticsproduct delivery, and written production-grade code that powersbusiness-critical airline operations and commercial processes.

Role & Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines supporting batch, streaming, and near real-time ingestion across core airline operational and commercial data sources, ensuring data is available, consistent, and fit for analytical and AI consumption
• Own the full software development lifecycle for airline data and AI products — from requirements analysis, technical design, and data modelling through to build, testing, deployment, and production support across operational and commercial domains
• Engineer and deliver AI-powered data products that embed predictive models, forecasting engines, anomaly detection, and optimization outputs directly into airline workflows
• Develop Generative AI and Agentic AI software components tailored to airline business challenges — from AI-assisted disruption management and intelligent querying of flight and passenger data, to automation of repetitive operational tasks across network, cargo, and ground operations
• Develop and optimize airline-domain data models, analytical data products, and semantic layers covering key business areas such as passenger revenue, yield, on-time performance, seat utilization, maintenance cost, and customer experience on cloud-native platforms
• Implement and maintain data quality frameworks, validation rules, and pipeline observability tooling suited to airline data characteristics — handling operational data spikes, schedule volatility, and high-frequency telemetry feeds
• Support migration and modernisation initiatives — transitioning legacy airline reporting systems and siloed operational data stores to unified cloud-native analytics and AI platforms
• Participate actively in code reviews, enforce development standards, and contribute to technical documentation and architectural decision records across the airline data and AI engineering team
• Collaborate closely with data scientists, ML engineers, revenue analysts, operations controllers, and business analysts to bridge the gap between airline analytical requirements and production-grade engineering delivery

Required Skills

• 15 to 18 years of total experience in data engineering, with significant depth in designing and delivering data pipelines, transformation logic, and analytics engineering solutions using Python, SQL in production environments
• Mandatory airline or aviation domain experience with strong working knowledge of commercial, operational, and engineering data — sufficient to independently translate business requirements into scalable data solutions  
• Proven experience delivering end-to-end data products — covering pipeline development, data modelling, cloud platform deployment, and production support — in business-critical, regulated environments where reliability and data quality are non-negotiable
• Strong expertise in data architecture fundamentals — including dimensional modelling, star and snowflake schemas, Lakehouse patterns, and cloud-native platform development using AWS, Azure, or Databricks at enterprise scale
• Hands-on experience implementing Change Data Capture patterns, orchestrating workflows using tools such as Apache Airflow or MWAA, and building distributed data processing solutions using Apache Spark or equivalent engines
• Demonstrated experience leading or contributing to platform migration programmes — transitioning legacy data warehouses, on-premise ETL tools, and traditional reporting platforms to modern cloud-native data and analytics ecosystems, including re-engineering of legacy jobs, data models, and reporting artefacts
• Proven ability to apply data engineering discipline to data delivery — unit testing of transformation logic, modular pipeline design, CI/CD for data components, version control, and reusable component development
• Demonstrated ability to work across multiple parallel workstreams and collaborate effectively with data scientists, analytics engineers, and business stakeholders to deliver integrated data and AI solutions
• Strong command of data quality and observability — implementing validation frameworks, anomaly detection within pipelines, and monitoring tooling programmatically as part of the engineering delivery rather than as an afterthought

Must-Have Skills

• Airline Domain Expertise — Hands-on experience delivering data and analytics software solutions within an airline or aviation environment, with deep practical understanding of airline business processes, KPIs, and data across commercial, operational, and engineering functions. Ability to independently interpret airline domain requirements and convert them into well-engineered, fit-for-purpose data and AI software products
• Demonstrated ability to architect and build high-volume, high-reliability ETL/ELT pipelines from heterogeneous airline source systems into Data Warehouses or Lakehouse platforms, with strong command over incremental loading strategies, error handling, and pipeline resilience
• Strong command over dimensional modelling, analytical data product design, and semantic layer development — delivering self-serving, business-consumable data assets that directly support airline commercial and operational decision-making
• Proven experience operationalizing predictive, forecasting, optimization, and anomaly detection models at enterprise scale — building the software layer that takes model outputs from experimentation into reliable, monitored, production-grade airline business applications
• Proven ability to re-engineer legacy data warehouses, ETL jobs, and reporting platforms into modern cloud-native equivalents — with strong delivery discipline across assessment, planning, execution, and cutover phases
• Strong culture of code quality, unit testing of data transformation logic, peer review, CI/CD pipeline integration, and SLA-driven production support for data and AI software components
• Ability to clearly articulate complex data and AI engineering decisions to non-technical airline business stakeholders, and to demonstrate measurable business value through data-backed outcomes

Overview

We are looking for an experienced Software Developer with strong hands-on experience in the .NET Framework / .NET 8 / .NET 9 ecosystem. The ideal candidate should possess solid software engineering fundamentals, strong problem‑solving skills, and the ability to work closely with stakeholders across different teams. Experience with Flutter will be a significant advantage.

Key Responsibilities

• Develop, enhance, and maintain applications using .NET Framework / .NET 8 / .NET 9.

• Work closely with internal stakeholders to gather requirements, clarify technical needs, and ensure alignment with business objectives.

• Participate in system design, coding, testing, deployment, and documentation.

• Integrate applications with internal and external APIs.

• Ensure all development follows governance, coding standards, and best practices.

• Support troubleshooting, debugging, and resolving vulnerabilities or security issues.

• Collaborate with team members to deliver high‑quality, scalable, and secure solutions.

Mandatory Skills & Requirements

• Minimum 3 years of software development experience.

• Strong experience with .NET Framework / .NET 8 / .NET 9.

• Good understanding of RESTful API design, integration, and consumption.

• Knowledge of software governance practices, including coding standards, documentation, and version control.

• Cybersecurity awareness, including secure coding practices, authentication/authorization concepts, and common vulnerabilities.

• Familiarity with OWASP concepts and basic vulnerability mitigation.

Good-to-Have Skills

• Experience with Flutter (highly preferred; strong plus point).

• Experience with React or Angular.

• Knowledge of CI/CD pipelines and DevOps practices.

• Exposure to cloud platforms (Azure preferred).

• Experience with microservices or event-driven architectures.

Soft Skills

• Able to communicate and liaise effectively with stakeholders from both business and technical teams.

• Strong analytical and problem‑solving abilities.

• Team player with proactive attitude and willingness to learn.

Responsibilities

• Develop scalable applications using Spring Boot, MongoDB, Docker, and Openshift/Kubernetes to meet business needs
• Collaborate with business stakeholders to define and clarify project requirements, acceptance criteria, and success metrics for delivered features
• Work closely with internal technical teams and business users to investigate issues, conduct testing, and manage deployments
• Support existing applications by troubleshooting, fixing bugs, upgrading, and modifying functionality to maintain performance
• Manage release processes including raising Change Requests and scheduling implementation of fixes and enhancements
• Deploy releases, patches, and fixes on the platform to ensure continuous operation
• Analyze application performance, perform tuning, and maintain high availability and stability of the platform

Required competencies and certifications

• Bachelor's or advanced degree in computer science or engineering
• Minimum 3 years of hands-on programming and application development experience in Java, Spring Boot, and REST/API, RTPM
• Experience building cloud-native applications, microservices, and working with cloud platforms such as Openshift or Kubernetes
• Proficiency in MySQL/MariaDB or other relational databases
• Proficiency in Git and Bitbucket for version control
• Knowledge of automated build pipelines using Jenkins with Groovy scripting
• Experience working within agile development methodologies and processes
• Experience with Unix/Linux operating systems

Overview
Our client is seeking for an Application Support Engineer to provide operational and user support for mission-critical HR systems. The successful candidate will be responsible for managing service requests, troubleshooting system issues, maintaining knowledge repositories, and ensuring the smooth operation of enterprise applications.

This role is ideal for candidates with application support, production support, helpdesk, or SAP HCM experience who enjoy problem-solving and delivering high-quality user support in a structured environment.

Responsibilities

• Manage and resolve application incidents, service requests, and user enquiries within agreed service levels.
• Ensure all requests are accurately logged, categorised, tracked, followed up, and closed in a timely manner.
• Investigate system issues, identify root causes, and provide effective resolutions or workarounds.
• Support users via phone, email, and ticketing systems.
• Develop and maintain a knowledge base comprising FAQs, troubleshooting guides, processes, procedures, and case studies.
• Ensure support documentation remains accurate and up to date.
• Disseminate system-related communications, including planned maintenance, downtime notifications, software provisioning instructions, and system enhancements.
• Analyse support tickets and trends to identify recurring issues and recommend process improvements.
• Prepare regular helpdesk and support reports, including recommendations to reduce incident recurrence.
• Support audit requests by retrieving system records and relevant support information.
• Review and enhance support processes and operational procedures when required.
• Collaborate with business users, project teams, and technical teams to resolve issues and improve service delivery.
• Participate in operational reviews and support initiatives as assigned.

Requirements

• Diploma or Degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Minimum 2 years of experience in Application Support, Production Support, Helpdesk, or IT Support roles.
• Good knowledge of information technology and enterprise application support.
• Experience with SAP HCM ERP is good to have.
• Familiarity with incident management, ticketing systems, and service management processes.
• Good troubleshooting, analytical, and root cause analysis skills.
• Excellent verbal and written communication skills.
• Customer-focused, proactive, and able to work independently.
• Good attention to detail with a commitment to service excellence.

Thankyou for your interest!

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