We are looking for an Engineer, Software Development to join our team in Malaysia. The candidate will support backend development for both existing payment platforms and new payment solutions.

The ideal candidate should have good backend development skills, basic understanding or interest in the payment / fintech / financial domain, good English communication, and willingness to learn and use AI tools to improve software development efficiency.

Key Responsibilities

• Development of reliable and critical services of the payment platform.
• Design and develop new features and enhancements on the payment sub-systems such as transaction processing, merchant services, refund, settlement, reconciliation, reporting, and partner integration.
• Analyse impacts and build APIs, backend services, batch jobs, and system integration components to be compatible on both legacy and new payment platforms
• Collaborate with cross function teams such as Product, DevOps, Business, and support teams to ensure the Business requirements are fulfilled.
• Analyse system impact and collaborate with team members to troubleshoot and resolve production incidents, and system improvement.
• Apply AI Coding tools (Claude, Codex, Kiro) to increase development efficiency and code quality 

• Bachelor’s degree in Computer Science, IT, Software Engineering, or related field.

• At least 1–3 years of software development experience, preferably in backend development and familiarity with basic SDLC including Agile development
• Solid programming ability in at least one backend technologies such as Java, C# .NET, Python, or similar, building REST APIs, system integration, and backend service development.
• Foundational knowledge with both TSQL databases (SQL Server, MySQL) and No-SQL databases and distributed systems
• Hand-on experience on some of the AI Coding development tools (Claude, Codex, Kiro) 
• Strong analytical and problem-solving skills to break down complex problems, understand requirements, identify root causes to deliver reliable backend solutions and willingness to apply new technologies (leveraging AI) to enhance productivity. 
• Good communication skills and teamwork.

Key Accountabilities

• Manage, administer, configure, and provide technical support for network equipment (switches, wireless APs, firewalls, DNS appliances, UPS) and services, including VLANs, ACLs, firewall rules, DNS, and IP address management.
• Install, maintain, and upgrade network hardware firmware/software; apply patches, hotfixes, and manage vulnerability remediation.
• Take ownership of network problems, troubleshoot and resolve issues related to hardware, software, and firmware, performing on-site support as needed.
• Conduct daily system checks, monitor network services availability, and contribute to network health checks by analyzing alerts, statistics, and performance data.
• Manage and document all network device configurations, changes, and ensure weekly automated backups.
• Record network service outages and follow up on outstanding technical issues with vendors to ensure resolution within Service Level Agreement (SLA).
• Liaise effectively with ISPs, other service providers, and internal teams on operational matters.
• Assist and work with vendors with cabling management, including patching, documentation, 1st level troubleshooting of connections, and ensuring correct configuration/labeling of new outlets.
• Provide support for wireless configuration and surveys.
• Maintain comprehensive network documentation (diagrams, topologies, issues) and assist in proactive monitoring and monthly reporting for network resources.
• Conduct annual asset verification, track equipment movements (deployment, RMA, relocation, decommissioning), and update inventory records.
• Participate in network implementation and migration projects as required.
• Assist in supporting operational requirements such as power maintenance shutdowns, periodic system audits, and service validation.
• Adhere strictly to policies, rules, regulations, and IT security policies in all operational aspects.

Key Performance Indicators

Desired Experience, Knowledge & Attributes

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years’ experience as a Network Engineer supporting large campus network
• Strong analytical and problem-solving skills
• Self-motivated with a strong sense of ownership
• Possesses a valid CCNA certification
• Certification in PCNSA/PCNSP is a plus

Job Description

• Work independently as a Data Engineering pipeline developer, either in Databricks or in INFORMATICA IDMC.
• Very Strong in Data Management and ETL concepts
• Very Strong in SQL or Python/PySpark
• Ability to monitor pipeline/ETL job loads and troubleshoot and fix

Requirements & Qualifications

• Experience: 2 – 5 Years
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks/Hadoop platform.
• 1-3 years of experience in INFORMATICA IDMC/PowerCenter Services (OR) 1-3 years of experience in Spark, Python, PySpark and SQL.
• Certified Data Engineer from Databricks or a Professional Cet. is an added advantage.
• Good understanding of developing data warehouses, data marts, etc.

Experience:

• Minimum 4–6 years of experience
• Strong experience in data cleaning and transformation using tools such as SQL, Python (Pandas), or R to ensure data accuracy and consistency.
• Hands-on experience in building and maintaining ETL/ELT pipelines using technologies like SSIS, AWS DMS, AWS Glue, Python, AWS Lambda, ECS, EventBridge, or Spring.
• Good knowledge of database design and experience working with databases such as PostgreSQL, MySQL, MongoDB, Cassandra, SQLite, Athena, and AWS S3.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience developing production-grade data pipelines and data integration solutions in big data environments.
• Understanding of system design, data structures, and algorithms.
• Familiar with data architecture concepts including Data Lakes, Data Warehouses, Data Marts, and Data Virtualization for efficient data storage and access.

Job Summary

Role: Data Engineer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking an experienced Data Engineer with 6+ years of expertise in enterprise data warehouse (EDW), ETL/ELT development, and big data engineering. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and frameworks across Teradata-based data warehouse environments and modern Hadoop ecosystem platforms.

This role requires strong hands-on experience in ETL development using Informatica PowerCenter, Teradata SQL, and Spark, along with deep exposure to data pipeline automation, performance tuning, and CDC (Change Data Capture) frameworks. The candidate will also contribute to building enterprise-grade data ingestion, transformation, and governance solutions supporting both structured and semi-structured data across complex enterprise systems.

Requirements:

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

- Minimum 6+ years of experience in Data Engineering, ETL development, or Enterprise Data Warehouse environments.

- Strong hands-on experience in Teradata SQL and EDW/ETL development.

- Proven experience with Informatica PowerCenter for enterprise ETL development.

- Strong experience with Hadoop ecosystem technologies (Apache Spark, Hive, Kafka, NiFi, Iceberg, Impala, etc.)

- Strong expertise in performance tuning and optimization of large-scale data pipelines.

- Hands-on experience with shell scripting, BTEQ, and automation frameworks.

- Strong understanding of data pipeline orchestration and workflow automation.

- Experience with CDC (Change Data Capture) concepts, preferably with Java-based implementation.

- Experience building frameworks for data ingestion, transformation, and automation in enterprise environments.

- Strong understanding of data modeling, ETL design patterns, and data warehousing concepts.

- Experience working with enterprise systems such as SAP (Oracle) for data integration.

- Experience with Master Data Management (MDM) solutions including data validation and approval workflows.

- Strong analytical, problem-solving, and debugging skills.

- Experience working in Agile or enterprise-scale delivery environments.

Roles and Responsibilities:

- Design, develop, and maintain ETL/ELT processes using Teradata SQL, Informatica PowerCenter, Apache Spark, QueryGrid, and Trino.

- Build and optimize data pipelines to load and transform data into Teradata-based data warehouses and data marts.

- Develop and implement scalable data engineering frameworks to support end-to-end automation using GCFR, BTEQ, and shell scripting.

- Perform performance tuning and optimization of complex ETL jobs and data processing workflows to reduce resource consumption and improve efficiency.

- Build and maintain in-house CDC (Change Data Capture) frameworks using Java to process OLR logs from SAP (Oracle) systems and ingest data into Teradata.

- Design configurable and reusable CDC ingestion frameworks to support enterprise-wide data integration requirements.

- Develop and support Master Data Management (MDM) solutions for user data uploads, including data validation, enrichment, and approval workflows.

- Work with Hadoop ecosystem technologies including Hive, Impala, Spark, Kafka, Iceberg, NiFi, Ranger, Atlas, and Flink for data ingestion, processing, and governance.

- Implement data pipeline orchestration and scheduling mechanisms to ensure reliable and timely data delivery.

- Collaborate with business, analytics, and application teams to translate requirements into scalable data engineering solutions.

- Ensure data quality, consistency, and governance across enterprise data platforms.

- Support troubleshooting, root cause analysis, and production issue resolution for data pipelines and ETL processes.

- Continuously improve data engineering standards, frameworks, and automation capabilities.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, License No. 07C4453]

[2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]

Summary / Purpose of Position:

Collaborate with traders and researchers to design, develop, test, and support proprietary trading platform to capture opportunities in electronic capital markets.

Essential Duties & Responsibilities for this Position:

- Build and maintain robust, scalable, and low latency trading software

- Participate in collaborative discussions and problem solving with multiple stakeholders

- Help improve and evolve software design and maintenance workflows and practices

- Mentor team members and improve knowledge acquisition and sharing

Qualifications, Skills and Knowledge Required:

- Bachelor’s degree or equivalent in a STEP/STEM field such as computer science, engineering, mathematics, or physics.

- Expert knowledge of modern C++

- Working knowledge of Python

- Experience with test driven development and continuous integration

- Experience developing software for Linux

- Understanding of software design principles and algorithmic complexity

- Desire to solve complex and novel problems in a collaborative environment

- Strong sense of ownership and urgency

- Ability to communicate clearly with stakeholders

- Logical problem solver with the ability to quickly understand new and complex concepts

- Pragmatic self-starter with a flexible can-do mentality

To apply, please submit your CV to careers@fenix-one.com. Please note that only shortlisted candidates will be contacted.

Employment type - 1-year contract (Renewable)

Eligibility: Singaporean only

Role Overview

As a Data Engineer, you will design, build, and operate scalable, secure, and high-performance enterprise data platforms and ETL pipelines that enable analytics, reporting, and data-driven decision making. You will play a key technical role in delivering end-to-end data pipelines, analytics platforms, and integration solutions across hybrid and cloud environments, including Government Commercial Cloud (GCC) and MINDEF Commercial Cloud (MCC).

You will work closely with data and solution architects, business stakeholders, and infrastructure teams to translate requirements into robust, production-grade data solutions.

Job Responsibilities

1.     Data Engineering &Platform Design

·      Design and develop scalable and reliable data pipelines.

·      Build enterprise data platforms, including data warehouses, data lakes, and lake houses.

·      Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

2.     Data Integration &ETL/ELT

·      Lead ETL/ELT pipeline development with Talend as a core and highly preferred platform. Experience with other ETL/ELT tools will be considered.

·      Integrate structured, semi-structured, and unstructured data sources.

·      Implement and maintain data quality, validation, and error-handling frameworks.

3.     Storage & Data Management

·      Design and manage data storage solutions with a strong emphasis on object storage, data quality, and data governance.

·      Implement and maintain data lifecycle management and cost-optimization strategies.

·      Ensure data lineage, traceability, and auditability.

4.     Analytics Enablement& BI Integration

·      Engineer analytics-ready data models for reporting and self-service analytics.

·      Enable BI Dashboards, Reports, and analytics through performant and governed data pipelines.

5.     Security, Governance& Compliance

·      Ensure compliance with government security and privacy requirements.

·      Implement and maintain encryption, access controls, and secure data handling practices.

·      Implement and maintain security policies and procedures for the system

Job Requirements

Education - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Core Technical Skills

• Strong hands-on data engineering experience
• Expertise in ETL/ELT with Talend (highly preferred)
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems
• Qlik Sense Enterprise integration experience (highly preferred)
• Strong SQL and Python skills

Experience & Security Requirements

• Minimum 3+ years of experience in enterprise data engineering roles
• Prior CAT 1 / G50 security clearance(mandatory)
• Previous experience delivering MINDEF projects (mandatory)

We are seeking a motivated and detail-oriented Software Engineer to join our team. This is an exciting opportunity to work across the full development cycle, tackle complex challenges, and contribute to innovative projects that drive continuous improvement.

Responsibilities include but are not limited to:

1.    Participate in full project life cycle from requirements gathering to project implementation, maintenance and support.

2.    Responsible for program design, coding, testing and documentation.

3.    Develop secure, scalable and good quality application programs and API within allocated man days.

4.    Have a passion for delivering zero defect codes and be responsible for ensuring the support level meets the expected SLA.

5.    Participate in continuous integration activities and automation frameworks for testing and deployment.

6.    Any other duties or tasks assigned and required.

Requirements:

·       Diploma or Degree in Computer Science, IT or a related field.

·       At least 4 years of hands-on project experience in application maintenance and support.

·       Strong time management skills and able to collaborate effectively with stakeholders.

·       Excellent problem-solving abilities, strong communication skills and a fast learner.

·       Proficiency in C#, ASP.NET, Web services, SQL and IIS (.NET framework).

·       Proven experience in translating functional specifications into technical design.

·       Positive attitude and professional demeanour.

  We regret to inform that only shortlisted candidates will be contacted.

Job Title: Systems Engineer (Computer)

Company: G-COOL M&E PTE LTD

Location: 8 Kaki Bukit Avenue 4, #04-02, Premier @ Kaki Bukit, Singapore 415875

Job Description

G-COOL M&E PTE LTD is seeking a motivated and technically competent Systems Engineer (Computer) to support the company's IT infrastructure and digital operations. The successful candidate will be responsible for maintaining computer systems, network infrastructure, software applications, and providing technical support to internal users.

Key Responsibilities

• Manage and maintain company computer systems, servers, and network infrastructure.
• Install, configure, and troubleshoot hardware, software, printers, and peripheral devices.
• Monitor system performance and ensure network security and data integrity.
• Provide technical support and training to staff on IT-related issues.
• Maintain backup and recovery procedures for business-critical data.
• Support cloud-based services, email systems, and collaboration platforms.
• Coordinate with vendors for procurement, maintenance, and system upgrades.
• Implement and maintain cybersecurity measures and IT policies.
• Prepare technical documentation, reports, and system inventories.
• Support digital transformation initiatives and business process automation.

Requirements

• Bachelor's Degree in Information Technology, Computer Science, Information Systems, or related field.
• Fresh graduates are welcome to apply.
• Knowledge of Windows operating systems, networking, and computer hardware.
• Familiarity with Microsoft 365, cloud services, and cybersecurity practices.
• Strong troubleshooting and problem-solving skills.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a team.

Preferred Skills

• Knowledge of network administration and server management.
• Experience with database management and system integration.
• Familiarity with scripting or programming languages is an advantage.
• Understanding of IT support within engineering or construction environments will be beneficial.

About the Role

We are looking for a Streaming Data Engineer to design and build scalable real-time data pipelines and streaming data platforms. This role focuses on building high-throughput, low-latency data systems capable of processing large-scale event streams and enabling real-time analytics.

Key Responsibilities

1. Design and develop real-time streaming data pipelines

2. Build event ingestion systems using Kafka or similar messaging systems

3. Implement stream processing jobs using Flink / Spark Streaming

4. Develop scalable stream processing jobs

5. Build and optimize real-time analytical databases

6. Build and maintain data pipelines supporting both batch and streaming workloads

7. Support real-time dashboards and data APIs

8. Implement monitoring and alerting for streaming pipelines

9. Work closely with Data Scientists, Data Analysts, Backend Engineers, and Platform Engineers

What We’re Looking For

1. 3–6 years of experience in Data Engineering / Backend Engineering

2. Experience with real-time analytical databases (Starrocks / Clickhouse / Doris)

3. Experience with streaming data technologies (building distributed data systems)

4. Proficiency in Python / Java / Scala / SQL

5. Apache Kafka / Apache Flink / Spark Streaming

What We Offer

1. A collaborative and inclusive work environment.

2. Opportunities for professional growth and development.

3. The chance to play a pivotal role in shaping the future of our organization.

Employment type: 1-year contract (Renewable)
Location: Ang Mo Kio
Working Days/ Hours: Mon-Fri 8:30am to 6pm
Eligibility: Singaporean ONLY

Job Overview:

We are looking for a Technical Specialist with AI competencies to support the development and implementation of digital learning applications, including Learning Management Systems (LMS) and other learning technology platforms.

This role involves designing, integrating, and maintaining intelligent learning solutions that enhance user experience, personalize learning pathways, and improve platform capabilities through AI technologies. The ideal candidate will combine strong software engineering skills with knowledge of AI tools and technologies applied to learning environments.

Key Responsibilities:

Learning Application Development

• Develop, customize, and maintain learning applications such as Learning Management Systems (LMS) and other digital learning platforms.

• Support system implementation, configuration, and deployment of learning technologies.

• Ensure applications are scalable, secure, and aligned with system architecture standards.

AI Integration & Development

• Design and integrate AI-powered features into learning platforms, such as recommendation engines, chatbots, or adaptive learning tools.

• Work with AI frameworks and APIs to enhance learning analytics, learner engagement, and personalization.

• Explore and implement AI-driven solutions to improve content discovery, learner support, and performance tracking.

System Integration

• Integrate LMS platforms with other enterprise systems (e.g., HR systems, authentication systems, analytics platforms) using APIs and middleware.

• Ensure compatibility with e-learning standards such as SCORM, xAPI, or LTI.

Testing & Optimization

• Conduct system testing, debugging, and performance optimization for both application and AI components.

• Monitor platform performance and identify opportunities for improvement.

Collaboration

• Work closely with instructional designers, project managers, and product teams to translate learning requirements into technical solutions.

• Collaborate with data engineers and AI specialists to implement machine learning models and intelligent features.

Documentation & Support

• Maintain technical documentation for system architecture, integrations, and AI components.

• Provide technical troubleshooting and support during system implementation and deployment.

Skills & Experience Required

• Technical Skills: Experience in software development using Python, JavaScript, C#, or Java. Knowledge of HTML5, CSS, REST APIs, microservices architecture, and Learning Management Systems (LMS) or learning technology platforms. Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
• AI & Data Competencies: Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience integrating AI APIs/services including NLP, recommendation engines, or chatbot frameworks. Understanding of learning analytics, data processing, and AI-driven personalization.
• Systems & Integration: Experience integrating enterprise systems through APIs or middleware. Understanding of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with SCORM, xAPI, LTI, or other digital learning standards is advantageous.
• Soft Skills: Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into practical solutions and work effectively in cross-functional teams.
• Systems Administration: Knowledge of user access management, data backup processes, and security protocols in cloud-based environments.
• Project Collaboration: Experience working with both technical and non-technical stakeholders in collaborative project environments.
• Attention to Detail: Ability to ensure configurations, customizations, and integrations meet required specifications and standards.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Certifications: Relevant certifications in AI, cloud platforms, or software engineering are an advantage. (e.g., Machine Learning, AWS, Microsoft, LMS-specific certifications).
• Experience with Cloud-Based Systems: Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in the context of learning platforms
• Experience with SCORM/ xAPI: Familiarity with e-learning standards like SCORM, xAPI, and Tin Can API for tracking and reporting learning activities.
• Familiarity with Data Security: Knowledge of data security practices, especially as they apply to sensitive learning and employee data.