Total 2,320 network engineer job vacancies in Information Technology category

Key Responsibilities

Special Projects Leadership

• Lead high-impact, cross-functional projects spanning air network scheduling, airline partner planning, and operational performance.
• Act as a strategic advisor to planning leadership, identifying opportunities for innovation, efficiency gains, and capability enhancement.
• Drive end-to-end project execution from concept through deployment and adoption.

Advanced Analytics & Optimization

• Develop and implement optimization models and analytical frameworks to improve network design, scheduling efficiency, and partner performance.
• Apply data-driven approaches to solve complex planning problems, including routing, capacity allocation, and operational trade-offs.
• Translate analytical outputs into actionable insights for planning teams and leadership.

Automation & Tool Development

• Design, build, and maintain automation tools, scripts, and lightweight products to streamline planning workflows and reduce manual effort.
• Develop scalable solutions that integrate with existing scheduling and planning systems.
• Continuously identify opportunities to eliminate inefficiencies through automation and process redesign.

Cross-Functional Enablement

• Work closely with scheduling engineers, network planning engineers, operations teams, and partner management to embed solutions into daily workflows.
• Adapt tools and approaches to suit a wide range of users, from highly technical to operational planners.
• Provide hands-on support to ensure successful implementation and adoption of new tools and processes.

Experimentation & Innovation

• Lead experimental initiatives focused on advanced automation, optimization techniques, and emerging technologies.
• Pilot new approaches, evaluate outcomes, and scale successful solutions across the organization.
• Stay current with industry trends and best practices in airline planning, logistics optimization, and data analytics.

Standards & Best Practices

• Establish best practices for data usage, model development, and automation within the planning team.
• Ensure solutions are robust, maintainable, and aligned with operational realities.
• Document tools, methodologies, and processes to support long-term sustainability.

Minimum Qualifications

• Bachelor’s degree in Engineering, Data Science, Operations Research, Aviation, or related field, or equivalent experience.
• Significant experience in data analysis, analytics engineering, or operational analytics roles.
• Experience in airline scheduling, air network planning, or aviation/logistics operations.
• Demonstrated experience building automation tools, analytical models, or internal products (e.g., scripting, dashboards, optimization tools).
• Strong problem-solving skills with the ability to work across both technical and operational domains.

Preferred Qualifications

• Experience in air cargo operations or express logistics networks.
• Exposure to optimization techniques (e.g., linear programming, simulation, network optimization).
• Experience integrating tools with planning or scheduling systems.
• Some familiarity with data engineering, APIs, or system integration concepts.
• Experience leading cross-functional or innovation-focused projects.

Key Competencies

• Advanced analytical and problem-solving capability
• Automation and tool development
• Aviation and network planning domain knowledge
• Cross-functional leadership and influence
• Practical, solution-oriented mindset
• Adaptability and ability to work with diverse stakeholders
• Strong attention to detail and execution discipline
• Innovation and continuous improvement mindset

The objective and purpose of the role:

Responsible in gathering customer requirements, design, build and testing of the network systems in accordance to business needs. Maintain and perform operational tasks for internal and external systems to meet the required service levels.

Key Responsibilities:

• Analyze technical needs, requirements, and state of the network’s infrastructure design, integration, and operations.
• Produce high level architecture designs to meet customer requirements for semi-complex (or) complex systems. Articulate with sufficient knowledge to convince and explain customer on the design.
• Produce low level technical designs from high level architecture designs. Translate a broader infrastructure design or blueprint into technical specifications and details.
• Refine design specifications and prototypes based on inputs from internal / external stakeholders
• Installs or removes hardware and/or software, using supplied installation instructions and tools including, where appropriate, handover to the client.
• Develop a comprehensive testing plan to assess stability, suitability and performance of on-site infrastructure and systems
• Conducts tests, corrects malfunctions, and documents results in accordance with agreed procedures.
• Configures the hardware environment, produces integration test specifications, conducts tests and records the details of any failures.
• Drive the troubleshooting with internal/external system components.
• Reviews requirements and specifications, and defines test conditions.
• Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes.
• Conducts tests as defined in an integration test specification, records the details of any failures, and carries out fault diagnosis relating to simple failures, reporting the results of the diagnosis in a clear and concise manner.
• Reviews test results and modifies tests if necessary. Provides reports on progress, anomalies, risks and issues associated with the overall project. Reports on system quality and collects metrics on test cases. Provides specialist advice to support other

Key Responsibilities

• Oversee and maintain infrastructure in the warehouse, office, and remote vending network.
• Operating forklifts, reaching trucks, pallet jacks, vending coin and note mech.
• Ensure secure, stable network connectivity to support vending machine telemetry and real-time data collection.
• Handling and operating necessary tools and accessories in maintaining and managing the warehouse.
• Spot check machines on-site for cleanliness, refrigeration maintenance, and repair minor breakdown.
• Implement network security protocols, perform audits, and ensure compliance.
• Monitor network performance and recommend improvements or upgrades.
• Liaise with vendors, and internal teams for technical support and deployments.
• Provide technical leadership and mentorship to team members.
• Manage project timelines, coordinate across departments for planning
• Handling all network related matters.
• Any other responsibilities that may be delegated by the management when required.

Requirements

• Degree in a related field.
• Proficient in Microsoft Office, Google Drive
• Strong troubleshooting skills in physical network environments.
• Familiar with warehouse operations and remote asset management.

The Network Engineer will design, implement,and maintain critical network infrastructure across on‑premise data centers andcloud environments. This role focuses on automation, reliability, operational excellence, and security to ensure high‑performing, resilient systems. You willcollaborate with engineering teams, troubleshoot complex issues, and enablescalable deployment and management of applications.

Key Responsibilities

1. Infrastructure Automation &Operational Enablement

• Develop automation scripts, workflows, and processes that simplify the deployment, configuration, and scaling of applications in both on‑premise and cloud environments.
• Build tools and frameworks that improve operational efficiency and reduce manual intervention.

2. Troubleshooting & IncidentResponse

• Diagnose and resolve network and system issues across multiple layers (infrastructure, platform, and application).
• Participate in on‑call rotations and provide support during major incidents, ensuring quick recovery of customer‑facing services.

3. Solution Ownership & Cross‑TeamSupport

• Take full ownership of end‑to‑end network solutions delivered across the organisation.
• Collaborate closely with other engineering teams to validate, optimise, and maintain network components.

4. Monitoring, Performance & Reliability

• Deploy, configure, and manage monitoring systems to track infrastructure health, utilisation, performance, and availability.
• Analyse data to identify bottlenecks and proactively resolve system vulnerabilities or performance issues.

5. Configuration Management &Disaster Recovery

• Implement and manage configuration management systems that ensure consistency across environments.
• Automate backup, failover, and disaster recovery procedures to improve business continuity.

6. Security & Compliance

• Apply security best practices and ensure network configurations comply with organisational and industry standards.
• Strengthen network defences through hardening, access control, encryption practices, and threat mitigation strategies.

Required Technical Skills

Core Networking Expertise

• Strong understanding of networking fundamentals, including IPv4/IPv6, VLANs, switching, routing, and OSI layer protocols.
• Knowledge of load balancing concepts, server networking, and performance optimisation.
• Experience with Windows and Linux server networking environments.

Network Infrastructure & Operations

• Hands‑on experience in designing, deploying, and troubleshooting WAN, LAN, wireless, voice, structured cabling, and network security systems.
• Familiarity with firewalls, IDS/IPS configurations, NAT, DNS, DHCP, and ensuring optimal health of wireless networks.

Automation & Provisioning

• Experience with infrastructure automation tools such as Ansible, Puppet, Vagrant, Docker, or equivalent technologies.
• Ability to leverage automation for configuration management and scaling.

Security & Advanced Concepts

• Understanding of Network Access Control (NAC), PKI, common cybersecurity threats, and mitigation techniques.
• Knowledge of CDN concepts and distributed network optimisation.
• Awareness of emerging networking technologies:
• SD‑WAN, VXLAN, OpenFlow, Open vSwitch
• OpenStack / CloudStack networking
• NFV (Network Functions Virtualization)
• SASE (Zero Trust, CASB, Secure Web Gateways)
• Networking for IoT ecosystems

Soft Skills & Attributes

• Strong analytical thinking and ability to diagnose complex technical issues.
• Detail‑oriented with strong follow‑through and ownership of assigned tasks.
• Able to work independently under pressure and manage multiple priorities.
• Clear communicator, both written and verbal, capable of explaining technical concepts to non‑technical stakeholders.
• Customer‑focused mindset with a commitment to service reliability and quality.

Qualifications

• Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or related technical fields.
• Relevant experience in enterprise networking, infrastructure automation, troubleshooting, and network operations is strongly preferred.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Join MODEC’s Engineering Digital Transformation (EDX) team to modernise how engineering gets done. You will identify, design and implement workflow automation by customizing engineering software and complementary tools, building new features, and creating seamless interfaces with our Engineering DX Web Apps. You will perform detailed fit gap analysis of software capabilities against MODEC workflows, then translate engineering rules and constraints into robust, testable logic via scripting and integrations. Your work will drive speed, accuracy and compliance with industry standards and MODEC design standards delivering measurable impact across our engineering deliverables.

Job Responsibilities

• Analyze engineering software functions and modules in detail to assess alignment with MODEC’s engineering workflows, documenting fit gap and proposing solutions or customisations
• Customize engineering software to fit MODEC’s workflows, implementing new features and extensions via the software’s scripting language, application programming interface (API), and configuration capabilities
• Develop and maintain automated interface connections between engineering software, Engineering DX Web Apps, and other generic tools, using programming code and relevant APIs to ensure robust data exchange, synchronization, and event-driven workflows
• Create and maintain data flowcharts for automation and optimization, clarifying inputs, transformations, and outputs for each workflow
• Ensure automation solutions and generated deliverables align with industry standards, classification society rules, and the company’s design policies and principles
• Define clear, testable, and technically feasible software requirements, including engineering calculations, data validation logic, and deliverable generation rules
• Support continuous assurance of automated engineering processes and outputs; collect and analyze feedback from deployments and incorporate improvements into engineering software customizations and interfaces
• Collaborate with internal departments and engineering SMEs to capture domain rules, constraints, and best practices; translate them into actionable logic/configurations within engineering software and integration layers
• Lead or participate in planning, stand-ups, demos, and retrospectives. Report measurable impacts of engineering software customizations and integrations (e.g., processing time reduction, error rate trends, rework avoidance, deliverable throughput)

Qualifications

• Bachelor’s or Master’s in Engineering
• Must have 5+ years in engineering software scripting/dev (e.g., Python, .NET/VBA, JavaScript, vendor APIs)
• Must have hands-on customisation/config of engineering platforms (e.g., AVEVA) using native scripting
• Proven experience building APIs/services linking engineering tools with web apps
• Oil & Gas EPC workflow/deliverables experience is a plus

Competencies

• Engineering platform expertise (AVEVA or equivalent); advanced MS Office
• Strong problem-solving, teamwork and decision-making

As a Cross Technology Managed Services Engineer (L3) at NTT DATA, your primary role will be to provide exceptional service to our clients by proactively identifying and resolving technical incidents. You will ensure that client infrastructure is configured, tested, and operational, leveraging your deep technical expertise to solve complex problems and enhance our service quality.

Part of your Responsibilities will entail pre-emptive service incident resolution, product reviews, and operational improvements. You will manage high-complexity tickets, perform advanced tasks, and provide diverse solutions while ensuring zero missed service level agreement (SLA) conditions. Your role will also involve mentoring junior team members and working across various technology domains such as Cloud, Security, Networking, and Applications.

You will conduct necessary checks, apply monitoring tools, and respond to alerts, identifying issues before they become problems. Logging incidents with the required level of detail, you will analyse, assign, and escalate support calls. Additionally, you will proactively identify opportunities for optimization and automation, ensuring continuous feedback to clients and affected parties.

Important responsibility is to create knowledge articles for frequent tasks/issues and train junior team members in executing those tasks. Provide inputs to automation teams to reduce manual efforts.

You will engage with third-party vendors when necessary and keep systems and portals updated as prescribed. As a senior engineer, you will coach L2 teams on advanced troubleshooting techniques and support the implementation and delivery of projects, disaster recovery functions, and more, ensuring all actions adhere to client requirements and timelines.

To thrive in this role, you need to have:

• Extensive Managed Services experience handling complex cross-technology infrastructure.

• Strong understanding of ITIL processes.

• Proven experience working with vendors and/or third parties.

• Ability to communicate and work across different cultures and social groups.

• Effective planning skills, even in changing circumstances.

• Positive outlook and ability to work well under pressure.

• Active listening skills and adaptability to changing client needs.

• Client-focused approach to create positive client experiences throughout their journey.

• Bachelor's degree or equivalent qualification in IT/Computing

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications

• 5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross-functional technical decisions.

Responsibilities

• Design and implement Windows Server 2019/2016 configurations including Windows Domain Administration and Microsoft Failover Clustering to ensure high availability and performance
• Develop and maintain Windows RDS Architecture to support remote desktop services effectively
• Apply Group Policy Objects (GPO) and perform OS hardening to enhance system security and compliance
• Execute OS patching and upgrading to maintain system stability and security
• Configure, upgrade, harden, and administer Microsoft SQL Server 2019/2016/2017 to optimize database performance and security
• Deploy and maintain Linux-based Virtual Appliances and Ubuntu OS to support diverse operating environments
• Configure and manage Commvault backup jobs to ensure reliable data protection and recovery
• Design and implement network and network security solutions to safeguard ICT infrastructure
• Apply system security concepts including SSL certificate management to protect data integrity and privacy
• Perform preventive maintenance tasks to minimize system downtime and extend hardware lifespan
• Respond promptly to system faults on-site 24/7 and communicate effectively with users to resolve issues
• Conduct hands-on management of virtual machines (VMs) in the datacenter to ensure operational continuity
• Analyze system requirements and propose architecture and solutions that align with business needs
• Develop and maintain comprehensive system documentation to support operational transparency and knowledge sharing

Preferred competencies and qualifications

• Minimum 1–3 years of hands-on experience in system engineering roles
• Proficiency in the following skills: Windows Server configuration, Windows Domain Administration, Microsoft Failover Clustering, Windows RDS Architecture, GPO, OS hardening, OS patching/upgrading, Microsoft SQL Server configuration and administration

Other Information

• Work schedule: 5-day week
• Work location: AMK

Maestro HR
damien lee tian hong
R1106726
16C8462

Overview:

We are seeking a skilled Microsoft Dynamics 365 Software Engineer to design, develop, and maintain customised solutions within the Dynamics 365 CRM ecosystem. The successful candidate will work closely with business and Infocomm Technology stakeholders to translate requirements into technical solutions whilst ensuring system performance, security, and scalability.

Responsibilities

• Drive and contribute to the implementation of Microsoft Dynamics 365 solution for CRM module, including gathering requirements, designing and development, module configurations or extensions to the standard Microsoft Dynamics applications and ensure all functionalities work effectively with all other integrated/interfaced applications.
• Responsible for development, deployment, testing and technical documentation for operations and support of the MD365, and related application integrations.

• Customization and Configuration:
• Utilize your expertise in SQL and .NET to customize MD365 forms, entities, fields, forms, view, workflows, and queries to meet business requirements.
• Implement plugins, custom workflows, and integration solutions to extend MD365 functionalities.
• Customize workflows to align with business processes.

• Integration:
• Develop integration solutions to connect MD365 with other business applications, leveraging SQL databases and .NET frameworks using APIs, web services, and middleware solutions to ensure seamless data flow across platforms.

• Technical Support and Maintenance:
• Provide technical support to post-implementation, troubleshoot issues, and perform system upgrades and patches.
• Ensure the stability, performance, and security of MD365 systems.

• Documentation:

• Create comprehensive documentation including system architecture, configurations, and customizations for reference.

• System Performance Improvements:

• Conduct product evaluations of upgrades to the MD365 system.

• DevOps practices including CI/CD pipeline implementation, automated testing, and deployment using modern development tools
• Manage performance tuning and capacity planning activities to enhance the performance of the MD365 platform.
• Analyze user support statistics and related data to recommend appropriate measures.

Requirements

• Possess a Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 3-5 years of technical working experience in cloud or web applications development
• Strong proficiency in MS SQL for data manipulation, querying, and reporting.
• Experience with .NET framework and development languages such as C# for customization and integration tasks.
• Strong DevOps background with hands-on experience in GitLab, Confluence, JIRA, X-Ray, security scanning tools, and automated testing frameworks
• Has completed at least 2 end-to-end full life cycle implementations of Microsoft Dynamics 365
• Possess Microsoft Dynamics 365 Certifications (MB-500, MB-820) and in-depth understanding of MD365 concepts, modules, and functionalities.
• Familiarity with SHIP-HATS and AWS cloud services is advantageous
• Ability to work with functional teams

My Client:

My client is a technology-driven company building high-performance hardware and system-level solutions for compute-intensive applications. The engineering team focuses on embedded systems, firmware development, and device-level software optimization.

The team operates in a hands-on, product-oriented environment, working closely with hardware, chip, and system teams to deliver reliable and efficient embedded solutions. They are currently expanding their embedded engineering team to support new-generation devices.

Job Responsibilities:

• Develop, port, and optimize firmware for Linux-based embedded systems.
• Design and implement device drivers and low-level software for peripheral modules.
• Perform system debugging, testing, and performance optimization for embedded platforms.
• Work closely with hardware and chip teams on bring-up, validation, and integration.
• Develop software control logic related to system performance and power management.
• Participate in system-level troubleshooting and continuous improvement of reliability and stability.

Job Requirements:

• Bachelor’s degree or above in Computer Engineering, Electronics, or related fields.
• Strong programming skills in C/C++ for embedded systems.
• Familiarity with Linux systems and embedded software development.
• Understanding of microprocessor architecture and hardware fundamentals.
• Ability to read datasheets and debug hardware/software integration issues.
• Strong problem-solving skills and proactive learning attitude.

What They Offer:

• Exposure to full-stack system development from chip to software.
• Engineering-driven environment with strong technical depth.
• Competitive compensation and long-term career development.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R26160730

Business Registration Number: 201735941W. Licence Number: 18S9037

Overall Purpose of Job:

Explore and evaluate new and adjacent technologies and assist CTO in development of technology road map for Marine.

Responsibilities:

1. Scan the technology landscape for future disruptors and new product/solutions for management evaluation. Special attention to the adoption of AI on products and the exploration of alternative energies for marine platforms.
2. Facilitate internal efforts for R&D and seek collaboration with external parties including IHL to supplement internal R&D resources. Assist to prepare R&D budget and  all aspects of R&D efforts for corporate reporting.
3. Perform feasibility studies with potential customer/early adopters of new solution/technologies. Project manage POC projects.
4. Assist in application of R&D funding and grants from external agencies to support R&D efforts.  Assist in the project cycle from the initiation of ideas, search for the relevant agencies, the submission of the proposal to the claims.
5. Work closely with Group CTO working level to align the development of relevant technologies for growing the future business of Marine.  Collaborate with other Business Areas working level for new technology applications that can be shared across industries.

Requirements:

1. Bachelor Degree in Engineering  (Marine and Offshore, Naval Architecture, Structural) 
2. 5-10 years of industry experience in Marine or Offshore
3. Software skills preferred: Rhino, Solidworks, AutoCAD  

Other Information:
 

• Location: 16 Benoi Road (Island-wide transport provided)
• 5-day work week
• Working Hours: 7.25am-5pm

Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.

We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology. 

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view

Core responsibilities:

• Design, implement and maintain software modules for autonomous robot operation using the ROS2 framework.

• Design, implement and maintain firmware logic and architecture. 

• Develop code for embedded software components.

• Build and maintain data pipelines for the training and evaluation of AI models.

• Develop and integrate AI/ML models into the robot software stack.

• Research and evaluate other state-of-the-art AI techniques relevant to robotics, and Computer Vision.

• Evaluate and integrate third party open source libraries, SDKs and/or APIs where beneficial.

• Design and execute testing strategies including unit, integration and HIL tests to validate software correctness and system performance.

• Diagnose and resolve software and firmware issues across the stack.

• Develop and maintain tools for build systems, testing, logging and remote diagnostics.

• Involve and drive Continuous Integration and deployment (CI/CD) infrastructure and environment setup.

You may also be involved in:

• Hands-on assembly, wiring and soldering of electronic subsystems as part of prototype bring-up and iteration

• Occasional on-site deployment and testing at live operational environments (e.g. construction sites), requiring adaptability and safety-consciousness.

Technical Requirements:

• Proficiency in C++17 or later for performance-critical systems.

• Proficiency in Python for scripting, tooling, ML pipelines.

• Experience with bare-metal embedded development in C.

• Familiarity with robotics simulation environments like Gazebo for development and validation.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with and computer vision libraries (e.g. OpenCV, Ultralytics).

Nice to Haves

• Experience with version control (Git) and collaborative development workflows

• Experience in configuring sensors over I2C, CSI and CAN.

• Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).

• Familiarity with software design principles and CI/CD pipelines (eg Github Actions)

• Experience with electronics is a plus.

Values/ Culture:

• Excited to work in a fast-moving startup environment where your work directly shapes the product and puts you close to real-world operations and clients

• Comfortable with ambiguity and able to self-direct in an environment where priorities evolve rapidly

• Strong first-principles thinking, comfortable defining success metrics and making reasoned decisions with limited data

• Self-motivated and impact driven, with a track record of going beyond the minimum through personal projects, open-source contributions or extracurricular technical work

• Excited about robotics and similar technical areas and exploring them in work and other projects

• Approach unfamiliar problems with curiosity and a growth mindset. Eager to learn across domains including hardware, software and operations

Our work is fast-moving and iterative, and your role will grow with it. We value people who can take initiative, connect their day-to-day work to the bigger picture, and adapt as our priorities evolve.

Click on the link above for more information, send your CV to careers@fabrica.ai to apply.

Job Title: Data Engineer
Duration: 24 months
Location: 1 Marina Boulevard
Salary: 5000-6000
Eligibility: Only Singaporeans

As a Data Engineer, you will be a key member of the Data Management and Operations team, ensuring a robust data infrastructure, upholding data quality and data governance rules and efficient functioning of data pipelines. You will work closely with stakeholders across the division and vendors to ingest data and translate data needs into the relevant tables. The Data Engineer will also work closely with AI Engineers and Machine Learning Engineers to deploy data science models into production.

What you will be working on

You will be involved in a range of tasks including the following:

• Infrastructure Architecture & Cloud Management: Design and manage robust, scalable data infrastructure utilising AWS and other cloud platforms based on project requirements. Proactively explore and evaluate innovative data engineering tools to enhance infrastructure capabilities. Continuously recommend and implement improvements to data infrastructure based on emerging technologies.
• Data Pipeline Development & Implementation: Design and implement efficient data models and pipelines for ingestion, processing, and distribution of largescale datasets. Ensure high data quality and availability across all data processing workflows. Align data flows across various systems with consistent schema and governed access models. Collaborate with external vendors to enable secure data exchange through APIs, including the development of API Swagger specifications required for vendors to build and integrate their API endpoints.
• Data Quality & Standards Management: Lead comprehensive data quality initiatives establishing standards for accuracy and reliability across all systems. Diagnose and resolve data pipeline issues while contributing to incident response and post-mortem reviews. Maintain rigorous quality control processes throughout the data lifecycle.
• AI & Machine Learning Collaboration: Collaborate closely with AI engineers to provide optimised data solutions for machine learning projects. Emphasise seamless data flow and accessibility for AI model development and deployment. Ensure data infrastructure supports advanced analytics and machine learning requirements.
• Documentation & Knowledge Management: Develop and maintain comprehensive documentation on data architecture, procedures, and management practices. Ensure clarity and consistency of documentation across all teams and projects. Create accessible resources that support effective data management practices.
• Automation & Integration Solutions: Leverage innovative tools and architectures to automate common, repeatable, and error-prone data preparation tasks. Minimise manual processes whilst improving overall productivity and efficiency.

Implement automated data integration solutions that reduce operational overhead.

• Governance & Stakeholder Collaboration: Work closely with data governance teams to vet and promote high-quality content for governed reuse. Engage proactively with cross-functional teams and business stakeholders to refine requirements and co-design solutions. Support creation and maintenance of curated data catalogues for organisational use.
• Training & Continuous Improvement: Facilitate knowledge sharing and technical training sessions on data management best practices and tools. Enhance data competency across staff through structured learning programmes. Establish regular feedback loops with data consumers to refine and optimise pipelines for seamless production deployment

Requirements

• Proficiency in data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools) and building scalable data pipelines.
• Proficiency in Python and SQL; experience in AI/ML model development and deployment a plus.
• Experience in working with large and multiple datasets and data warehouses.
• Independent contributor with ability to collaborate and work effectively within the team.
• Strong analytical, conceptualization and problem-solving skills.
• Excellent written and verbal communication skills

Apply Now via MyCareersFuture
Only qualified candidates are contacted

----
By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and disclosing your personal data to our clients and partners for the purpose of evaluating your suitability for job opportunities and related recruitment services. You acknowledge that you have read, understood, and agree to our Privacy Policy for Job Applicants, available at https://bgc-group.com/notice-for-job-applicants

In Ref: SS – JO-28275-B
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

About Global PaymentThe Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.The Payment Network PI team is part of the Global Payment Network organization. We focus on supporting binding payment instruments via diverse payment channels and managing the instruments lifecycle. Our mission is to ensure high-quality and reliable payment instruments through robust system design and multi-layered safeguards, enabling users to enjoy a smooth and secure payment experience on ByteDance platforms such as TikTok.Responsibilities1.Design and develop high-quality, scalable, and maintainable backend systems and architectures;2.Write clean, efficient, and well-documented code; review and debug code to maintain overall system quality;3.Identify, prioritize, and execute tasks throughout the software development life cycle, ensuring timely and high-quality delivery;4.Collaborate closely with cross-functional teams to analyze and break down complex business requirements into clear, actionable tasks;5.Continuously research, evaluate, and adopt emerging technologies to enhance system performance and maintain technical excellence.

Qualifications

Minimum Qualification(s)1. Bachelor's degree in Computer Science, related technical discipline, or equivalent practical experience;2. Software development experience in one or more general purpose programming languages, such as Java/Go/C++/C#/Python;3.Proven experience in backend development and distributed systems architecture;4. Solid understanding of relational databases and backend infrastructure;5.Strong analytical thinking and exceptional attention to details;6. Excellent communication skills, with the ability to clearly explain complex ideas and collaborate effectively with both technical and non-technical teams.Preferred Qualification(s)1. Minimum 2 years relevant work experience from a large-scale internet business;2. Experience in payment systems or financial transaction processing is a plus.

Job Summary

You will develop, maintain, and troubleshoot PLC/SCADA and network control systems to ensure operational efficiency. Collaborate with project teams and provide detailed system analysis and reports to support engineering projects.

Responsibilities

• Program and troubleshoot PLC/SCADA systems to ensure reliable control operations.
• Manage, maintain, and resolve issues in Windows Server Operating Systems to support system stability.
• Apply programming skills in ladder logic, VBA, or other languages to enhance system functionality.
• Configure network switches, perform network diagnostics, and manage IP address settings for network devices.
• Conduct routine and preventive maintenance on control and network systems to minimize downtime.
• Collaborate effectively with Project Managers and Engineers to support project execution and delivery
• Collect, analyze, and summarize control system data to prepare accurate reports for stakeholders.

Preferred competencies and qualifications

• Diploma or Degree in Computer Science, Electrical & Electronics, Mechatronic Engineering, or related fields.
• Experience in PLC/SCADA applications, network setup, instrumentation, and hardware troubleshooting.
• Ability to interpret electrical drawings for system maintenance and troubleshooting.
• Proficiency in Microsoft Office applications for documentation and reporting.
• Basic knowledge of Windows Server administration.
• Willingness and ability to support night shift operations.
• Strong interpersonal skills, positive attitude, and ability to work independently and collaboratively.