Bayes is representing an Engineering Consultancy on a Director-level C&S QP role. The role leads Building projects in the Singapore market, including Data-Centre typology

• The role requires a PEB (Registered in Singapore) with Masters/Degree, from Engineering Consultancy or Design/Architectural Practice with above 15 years of senior-level experience
• Building/Property/Commercial Projects – To provide technical leadership and governance, supporting work winning, design, and multi-disciplinary delivery. Data-centre experience is required
• Act as the key point of accountability, aligning client requirements with technical execution and team performance.
• Identify and secure new business opportunities to support the consultancy’s growth in allocated market for Building/Property/Commercial
• Provide expertise advice on design quality in projects and develop knowledge sharing capability within the teams.Recommend the needs of software/equipment to meet engineering works.
• Act as a technical adviser for junior colleagues in the design and project management of projects.

If the role resonates with you and your professional experience complements the responsibilities listed, send your resume to koh.dickson@bayesrecruitment.com

Dickson Koh, EA Registration R1103367

www.bayesrecruitment.com

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 Responsibilities:

• Support the technical team and construction team for all design matters.
• Review all technical documentation and drawings of the Project works.
• Work closely with consultant on the scope of services, design and project deliverables toenhance site efficiency and constructability.
• Manage design approval process and coordination with the clients, consultants andsubcontractors in a timely manner to resolve all technical issues.
• Ensure strict compliance of the design in accordance with contractual requirements.
• Identifies and highlight to management and project team of any potential risks or issues thatwill impact project performance.
• Support tender team and prepare technical tender documents as per specifications forbidding of civil and structural engineering projects as when assigned.

Requirements:

• PE Board Recognised Degree in Civil Engineering
• Min 1 year of design management experience with at least 2 years of design experience withD&B main contractor or consultancy firm
• Strong coordination and collaboration with other disciplines.
• Good interpersonal and communication skills.
• Good organization and time management skills.

We are seeking a highly skilled and motivated Network L2 Engineer to join our ICT Infrastructure team. As a Network L2 Engineer, you will be responsible for the day-to-day operation and maintenance of our network infrastructure, which includes Palo Alto and Check Point firewalls, Cisco switches, Alcatel, Aruba ClearPass Policy Manager (CPPM), and other related devices. You will play a critical role in ensuring the availability, performance, and security of our network services.

Key Responsibilities:

1. Network Maintenance and Support

• Perform routine maintenance tasks on LAN and WLAN network devices, including firmware updates, patches, and configurations.
• Troubleshoot and resolve network issues, ensuring minimal downtime.
• Monitor network performance and proactively address bottlenecks or anomalies.

2. Firewall Management

• Configure, manage, and maintain Palo Alto and Check Point firewalls to ensure network security.
• Implement and maintain firewall policies to control traffic and protect against threats.

3. Switch Management

• Configure and manage Cisco switches, ensuring optimal performance and network segmentation.
• Troubleshoot and resolve LAN/WAN connectivity issues.

4. Access Control and Authentication

• Administer Aruba ClearPass Policy Manager (CPPM) for user authentication and access control.
• Ensure compliance with security policies and standards.

5. Documentation

• Maintain accurate and up-to-date network documentation, including diagrams, configurations, and asset inventory.

6. Collaboration

• Collaborate with other teams, including system administrators and security experts, to achieve common network goals.

7. Security Compliance

• Ensure that network configurations and policies comply with industry best practices and security standards.

Qualifications & Requirements:

• Experience: 3-8+ years of experience in network engineering or infrastructure operations.

• Technical Proficiency:

  • Firewalls: Proven hands-on experience with Palo Alto and Check Point platforms.

  • Switching: Strong working knowledge of Cisco routing and switching.

  • Access Control: Proficiency in managing Aruba ClearPass (CPPM) or similar NAC solutions.

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

• Preferred certifications include CCNP, PCNSA/PCNSE (Palo Alto), CCSA/CCSE (Check Point), or Aruba Certified Mobility Professional (ACMP).

• Strong analytical thinking, excellent documentation habits, and a collaborative mindset for working within a cross-functional IT team.

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 Descriptions:

• Participate in the implementation and delivery of telecommunications software projects.
  
• Provide technical support services, including system configuration, business operations support, and system upgrade activities.
  
• Deliver Level 2 and Level 3 technical support to both existing and new customers, ensuring timely issue resolution.
  
• Prepare test plans, develop test cases, and execute testing activities across various project phases to ensure system quality and performance.
  
• Coordinate with external parties, vendors, and stakeholders to support system integration, issue investigation, and troubleshooting activities.
  
• Perform any other duties and responsibilities as assigned by the Project Manager.

Job Requirements:

• Bachelor's Degree in Information Technology, Computer Science, Electrical/Electronic Engineering, or a related discipline.
  
• Proficiency in at least one of the following technical areas: databases (MySQL, PL/SQL), Linux, Python, or Shell scripting.
  
• Prior experience in telecommunications BSS (Business Support Systems) projects will be an advantage.
• Strong analytical and problem-solving abilities, with a proactive mindset and customer-focused approach.
  
• Self-motivated team player with the ability to work independently and manage responsibilities effectively.

• Design, implement and manage enterprise LAN, WAN, data center and cloud network environments.
• Configure, maintain and troubleshoot routers, switches, firewalls, load balancers and network services.
• Provide expertise across routing, switching, connectivity and network architecture.
• Perform advanced troubleshooting and root cause analysis for complex network issues.
• Improve network availability, scalability, performance and resilience.

Skills/Requirement -

• Strong experience in enterprise network engineering.
• Strong hands-on experience with routing, switching and firewall technologies.
• Experience supporting large-scale production environments.
• Strong troubleshooting and incident management skills.

Job Description: 

• The System Engineer of System Operation is responsible to support the well running of enterprise system for the entire property. 
• This role requires an experienced system operation engineer with in-depth enterprise system technical expertise to operate the System Services. This role must also possess the ability to communicate and collaborate with various IT teams such as project managers, management and business leaders. 

Scope of Work:·  

• Reporting to the Senior Systems Manager, this role will be to support all aspects of the system operation services &ensure highest level of systems and infrastructure availability. 
• Provide support to all the Systems of the organization in Physical and Virtual Systems (Windows & Linux), InfraServices – Dir Services, Exchange, Share Point, System Centre Services, Storage and Backup.
• Knowledge of Database Services, Oracle Database& Microsoft SQL Database Administration.
• Identify and implement improvements on the operational monitors to measure system performance and capacity metrics.
• Work closely with Support vendor to support the IT Systems and Application according to the contractual requirement.
• Support 24x7 hours business operation, after office hours on-call support is expected.(Post implementation support)
• Share knowledge and solutions with team members/colleagues.

Key Qualifications/Requirements: ·  

• Bachelor's degree in Computer Science/MIS or equivalent experience. 
• More than 5 years of Enterprise IT experience including 3 years in Direct Systems Operation. 
• ITIL certification would be advantageous. 
• Experienced working in large and complex Systems Operation environment advantageous.
• Demonstrated advance technical skills in supporting enterprise systems operation, current and emerging technologies, and collaboration skills to work with diversified work groups. 
• In-depth System technical skills across multiple disciplines – x86 Platforms, Physical and Virtual Systems, Windows, Unix/Linux,MS SQL, Oracle, SAN Storage, SCCM, Backup, High Availability System and DR readiness, inter-network knowledge. 
• Strong troubleshooting and root cause analysis abilities 
• Ensures the highest level of systems and infrastructure availability.

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)

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]

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.