Product area

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. 

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Additional job description

As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.

Qualifications

Job responsibilities

• Inspect, maintain, and repair various data center systems such as servers, network equipment, Programmable Logic Controllers (PLCs), system administration, access control, alarm investigation, and Supervisory Control and Data Acquisition (SCADA) management.
• Provide daily assistance to technicians as you read blueprints/schematics/ladder logic/sequence of operations, conduct tours of systems, and assess their working order.
• Control monitoring, logging, and alarming systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Support startup, commissioning, and integration of new controls equipment and systems into facilities infrastructure.
  

Minimum qualifications

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 7 years of experience in controls/automation in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective equipment (PPE) like safety harnesses in accordance with safety and ergonomic guidelines and assessments.
• Ability to work non-standard hours and differing work rotations/shifts.

Preferred qualifications

• Industry standard certifications related to system administration (e.g., CompTIA A+, CompTIA Network+, CompTIA Security+, Certified Linux system administrator).
• 7 years of experience in controls/automation, or construction/technical environment or a related field.
• Experience in data centers, hospitals, power plants, or laboratories.
• Scripting language proficiency.
• Knowledge of meters, devices, sensors, relays and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.
• Ability to communicate with contractors who perform maintenance or upgrade work on the data center systems.

About the Role

We are seeking a highly skilled and experienced Senior Network Engineer on behalf of our client to design, implement, maintain, and automate robust data center and enterprise network infrastructures.

This is a critical role requiring a rare technical trifecta: hands-on, expert-level mastery across Cisco, Juniper, and Micas platforms. If you are a seasoned engineer who thrives in complex, multi-vendor environments, loves bridging the gap between physical infrastructure and cutting-edge network automation, and enjoys mentoring junior talent, we want to hear from you.

Key Responsibilities

• Multi-Vendor Infrastructure Management: Oversee, configure, and troubleshoot complex data center and enterprise environments spanning Cisco, Juniper, and Micas platforms.

• Advanced Routing & Switching: Maintain high-availability network architectures utilizing advanced Layer 1–3 protocols ($BGP$, $OSPF$, $MPLS$, $VRF$, and multicast).

• Network Automation: Drive efficiency by developing and implementing automation workflows, infrastructure as code (IaC), and scripting solutions.

• Physical DC Operations: Oversee structured cabling, fiber optics, and physical space planning within the data center environment.

• Security & Compliance: Enforce robust network security postures across multi-vendor environments using AAA, 802.1X, ACLs, and firewalls.

• Monitoring & Documentation: Utilize DCIM and observability tools to ensure uptime, and author comprehensive technical documentation (SOPs, MOPs, and detailed network diagrams).

• Leadership & Mentorship: Act as a technical escalation point and provide guidance, coaching, and mentorship to junior and mid-level engineering staff.

Required Technical Skills & Qualifications

Core Experience

• 7+ years of dedicated experience in enterprise networking and data center operations.

Platform Expertise (Must possess hands-on experience in ALL three)

• Cisco: Catalyst, Nexus, ASR, and ISE.

• Juniper: Junos, EX, MX, and SRX series.

• Micas: Proven hands-on deployment and management experience.

Networking Fundamentals & Protocols

• Deep understanding of Layer 1–3 fundamentals.

• Advanced L3 routing proficiency: BGP, OSPF, MPLS, VRF, and Multicast.

Automation & Tools

• Network Automation: Proficiency with Python, Ansible, and Terraform.

• DCIM & Monitoring: Experience with NetBox, Splunk, ELK stack, or similar observability platforms.

Security & Physical Infrastructure

• Security: AAA, 802.1X, ACLs, and multi-vendor firewall administration.

• Physical Layer: Solid understanding of structured cabling, fiber optic types, and physical data center layout/operations.

Documentation & Certifications

• Strong track record of creating SOPs, MOPs, and network diagrams.

• Minimum Certification: CCNA required.

• Preferred Certification: CCNP, JNCIP, or equivalent multi-vendor certifications are strongly preferred.

Nice-to-Have Skills

• Experience with Ciena or Coriant optical transport systems.

• Familiarity with Nokia platforms.

• Knowledge of SD-WAN architectures and deployments.

• Cloud networking experience (AWS, Azure, or GCP).

• Experience implementing CI/CD pipelines for network infrastructure.

What We Offer

• Competitive salary and comprehensive benefits package.

• Opportunity to work with a highly sophisticated, diverse tech stack.

• A collaborative environment that values continuous learning and technical leadership.

Tech Lead – Data Centre Network Architecture & NFVi

Singapore | 12-Month Renewable Employment Term

About the Role

We are seeking an experienced Tech Lead – Data Centre Network Architecture & NFVi to support a strategic enterprise customer engagement in Singapore.

This is a senior customer-facing role combining technology advisory, solution architecture, network consultancy and delivery leadership. The successful candidate will assess customers’ existing network environments, identify architecture gaps and recommend future-state solutions aligned with business objectives, industry trends and operational requirements.

The role requires a strong combination of Data Centre networking expertise, hands-on implementation experience and the ability to engage confidently with senior stakeholders, including VP and C-level executives.

Key Responsibilities

Customer Advisory and Solution Consulting

• Build trusted-adviser relationships with customers, technical teams and senior executives.
• Assess customers’ current network architecture across multiple domains and recommend practical improvement areas.
• Identify architecture gaps, risks and technology opportunities.
• Advise customers on future-state infrastructure architecture based on industry trends and business requirements.
• Translate complex technical solutions into clear business outcomes for senior stakeholders.
• Provide pre-sales support, solution scoping and technical consultancy across multiple technology domains.
• Contribute to effort estimation, implementation timelines and solution options while managing customer expectations.

Data Centre Network Architecture

• Lead the design of high-level and low-level Data Centre network solutions.
• Architect scalable, resilient and secure network infrastructure environments.
• Design and advise on solutions involving:Cisco ACIVXLAN EVPNMulti-Pod and Multi-Site architectureData Centre Interconnect (DCI)WAN and LAN networkingSoftware-Defined WANSoftware-Defined AccessNetwork Functions Virtualisation Infrastructure (NFVi)Service orchestration
• Evaluate emerging technologies and recommend suitable adoption strategies.

Project Delivery and Implementation

• Lead end-to-end project delivery, including planning, design, network staging, implementation, migration, testing and handover.
• Provide technical leadership during deployment and infrastructure transformation projects.
• Support troubleshooting of network incidents and technical issues during project implementation.
• Provide remote or onsite deployment support where required.
• Work closely with project managers, customer relationship teams, account teams, business units and cross-functional stakeholders.

Technical Leadership and Capability Development

• Mentor engineers and provide technical guidance to delivery teams.
• Support capability development through knowledge sharing, training and coaching.
• Develop reusable tools, automation scripts and delivery best practices.
• Promote the use of automation and AI tools to improve delivery efficiency.
• Support the incubation of new end-to-end services and technology solutions.

Required Skills and Experience

• Minimum 10 years of relevant experience in Data Centre networking, infrastructure architecture, network consultancy or solution delivery.
• Strong experience in Data Centre network planning, design and implementation.
• Deep hands-on experience with Cisco ACI and VXLAN EVPN.
• Experience designing or implementing Multi-Pod and Multi-Site architectures.
• Strong knowledge of Cisco Nexus platforms, including:Nexus 9000Nexus 7000Nexus 5000Nexus 2000
• Experience with Catalyst series switches, DCI and virtualised network environments.
• Good knowledge of WAN, LAN, SD-WAN and Software-Defined Access technologies.
• Experience with NFVi solutions and service orchestration.
• Strong customer-facing consulting and stakeholder-management skills.
• Ability to present complex architecture recommendations clearly to senior executives.
• Experience leading project delivery from solution design through implementation and handover.

Additional Technical Knowledge

Experience in the following areas will be advantageous:

• Linux and Python
• Java
• Virtualisation technologies
• OpenStack
• Kubernetes and containers
• Network automation
• Public and private cloud environments
• AWS, Microsoft Azure or Google Cloud Platform
• Practical use of AI tools to support delivery and technical operations
• Financial Services Industry environments

Certifications

Relevant professional certifications are highly preferred, such as:

• CCIE or CCDE
• Cisco specialist certifications
• VCP or VCDX
• RHCE
• AWS, Azure or Google Cloud certifications
• Other recognised network, infrastructure or cloud certifications

Employment Details

• Location: Singapore
• Employment Term: 12-month renewable employment term
• Work Arrangement: Customer-facing role with onsite support where required
• Seniority Level: Senior Technical Lead / Architect / Principal Consultant

Ideal Candidate Profile

The ideal candidate is a senior Data Centre Network Architect or Consultant who combines strong Cisco technical expertise with hands-on delivery capability and customer-facing consulting experience. You should be comfortable advising senior stakeholders, leading complex infrastructure projects and guiding technical teams through architecture design and implementation.

Interested candidates may apply with an updated resume and provide the following information:

• Current availability or notice period
• Current salary
• Expected salary
• Citizenship or residency status
• Relevant Cisco certifications
• Brief summary of experience with Cisco ACI, VXLAN EVPN, Multi-Pod, Multi-Site and NFVi solutions

As a Senior Data Engineer, you will be working on:

• Translate data requirements from business users into technical specifications.

• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

• Build out data product as part of a data team:

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

• Construct, test, and update useful and reusable data models based on data needs of end users.

• Design and build secure mechanisms for end users and systems to access data in data warehouse.

• Research, propose and develop new technologies and processes to improve agency data infrastructure.

• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. • Maintain data catalogue to document data assets, metadata and lineage.

• Implement data quality checks and validation processes to ensure data accuracy and consistency.

• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

This will be a 2-years direct contract position.

Responsibilities

• Data science developments.
• Lead project scoping discussions.
• Translate complex business requirements into technical solutions.
• Design, implement, and optimise end-to-end ML/AI solutions with improved performance and scalability.
• Systematically benchmark and evaluate multiple approaches, applying advanced techniques to solve complex business problems.
• Architect scalable solutions using cloud-based services and best practices, and design and implement robust data pipelines and LLM/MLOps workflows that improve efficiency and reduce operational costs.
• Deploy models to production environments with comprehensive monitoring, alerting, and maintenance procedures.
• Champion responsible AI practices, proactively identifying and mitigating ethical and governance risks.
• Collaborate with peers and stakeholders to ensure tasks are executed effectively, addressing minor conflicts constructively and respectfully, and suggesting improvements that enhance team effectiveness.

Requirements

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, or related disciplines. Minimum 2 years of relevant experience in data science and/or public sector.
• Able to business use cases into analytical problems and identifying appropriate data sources.

Proficient in

• Writing scripts for data preparation and analysis, using modern analysis tools and programming methodologies.
• cleaning, imputing, and correcting anomalies in the collected structured or unstructured data.
• Exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
• Building machine learning models to identify, recognise patterns, and make predictions.
• Design principles and use of visualisations to best convey the intended information.
• Developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated into the data systems for real time visualisation of information.
• Translating results from analysis of work into actionable recommendations for stakeholders.
• Communicating results and business impact from analysis work in a coherent data story for stakeholders.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Key Responsibilities

• Develop and implement data analytics solutions to convert raw structured and unstructured data into meaningful insights.
• Apply data mining, data modeling, machine learning, and natural language processing (NLP) techniques to solve business challenges.
• Design and maintain scalable data pipelines, ETL processes, and data platforms to ensure data quality, accessibility, and reliability.
• Build dynamic dashboards, reports, and visualizations to communicate key findings and support decision-making.
• Establish data governance frameworks, data standards, metadata management, and asset catalogs to improve data consistency and compliance.
• Collaborate with cross-functional stakeholders to deliver data-driven solutions and optimize business processes.
• Evaluate emerging AI technologies and implement innovative solutions that enhance operational efficiency and business performance.

Preferred Qualifications

• Master's degree or above in Computer Science, Data Science, Engineering, Statistics,  Business Analytics or a related field.
• Proven experience in Data Engineering, Data Analytics, Machine Learning, AI Applications, or Data Governance.
• Strong proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
• Experience building ETL pipelines, data lakes, APIs, and large-scale data platforms.
• Solid understanding of machine learning, predictive analytics, data modeling, and NLP techniques.
• Excellent analytical, problem-solving, and stakeholder management skills.

Interested candidate please click "APPLY" to begin your job search journey.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Key Responsibilities

• Plan and supervise a wide range of construction projects from start to finish
• Organize and oversee construction procedures to ensure they are completed in a timely and efficient manner
• Manage the overall implementation and completion of projects within the scheduled time, cost, and quality
• Recommend appropriate risk control measures to reduce or eliminate risks identified during assessments
• Monitor the progress of projects and update management regarding any schedule variances
• Develop, monitor, and review equipment and manpower deployment plans for project sites
• Assist in plan and specification analysis to provide clear and traceable designs and drawings for construction

Qualifications

• Bachelor’s degree or above in Electrical Engineering (A Master's degree is highly advantageous).
• 10+ years of DC construction / greenfield project is required for the role
• Excellent knowledge of relevant rules, regulations, and quality standards
• Holding an EMA Licensed Electrical Worker (LEW) certification in Singapore is a massive plus

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

Work scope, duties and responsibilities

1. Perform Quality administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time

Working Day/ Time : Tuesday to Saturday, 8.30am to 6pm (5 days)

Job Purpose

Intercontinental Exchange, Inc. (ICE) offers a unique opportunity to work on cutting-edge technology and complex business challenges in the financial sector. The Senior Network Engineer role within the ICE Network Engineering team provides technical leadership across network design, validation, deployment, maintenance, and operational support.

The successful candidate will help advance one of the world’s largest global financial networks, supporting a broad portfolio of mission-critical services. This role requires the ability to thrive in a dynamic, team-based global environment, demonstrating strong problem-solving, sound decision-making, and a high degree of professionalism.

Responsibilities

• Design, configure, and implement complex Juniper- and Arista-based data centre and WAN solutions that support real-time market data and multicast services, with an emphasis on ultra-low latency, resilience, and reliability.
• Collaborate with cross-functional teams to gather business and technical requirements and translate them into scalable, effective network designs.
• Support and maintain a range of multi-vendor production network environments that are critical to business operations.
• Develop and maintain high-quality network documentation, including diagrams, configurations, standards, and operating procedures.
• Provide expert-level troubleshooting and escalation support for network incidents and outages, restoring service quickly and minimizing operational impact.
• Stay current with industry trends, emerging technologies, and best practices related to WAN, data centre, and low-latency network engineering.
• Understand and follow ICE operational policies and procedures and actively promote adherence to them across day-to-day engineering activities.
• Provide the technical expertise required to ensure network changes are planned, validated, and executed safely, effectively, and efficiently.
• Work closely with vendors, service providers, and internal technology teams to deliver seamless, high-performance network solutions.

Knowledge and Experience

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Must hold a current Juniper and/or Cisco professional-level certification.
• 7+ years of networking experience, including at least 5 years designing, configuring, and implementing complex Juniper-based global MPLS WAN networks.
• In-depth knowledge of WAN protocols and technologies, including BGP, IS-IS, OSPF, MPLS, VPLS, VPNs, and QoS.
• Extensive knowledge of two or more network operating systems or platforms, including Junos, IOS/NX-OS, EOS, or F5 LTM/GTM.
• Extensive knowledge of Check Point FW-1, Palo Alto, or similar stateful packet inspection firewalls.
• Deep understanding of TCP/IP, NAT, route maps, access control lists, and routing policies.
• Extensive hands-on experience with Juniper networking products, including Junos OS, MX Series routers, EX/QFX Series switches, and SRX Series firewalls.
• Extensive knowledge of multicast network design and troubleshooting, including IGMP and PIM protocols.
• Demonstrated ability to distinguish between critical business-impacting incidents and minor issues, and to resolve or escalate them appropriately.
• Understanding of low-latency network design principles, clock synchronization, and Precision Time Protocol (PTP) implementations.
• Strong knowledge of Python and experience using it for network automation and operational efficiency.
• Strong knowledge of modern configuration management and automation tools, including Ansible, Jinja, and JSON.
• Experience with network monitoring and management tools, together with strong packet capture and analysis skills.
• Thorough understanding of Linux shell commands and experience with network automation tools and frameworks.
• Ability to adapt to a fast-paced, evolving global environment while staying current with advancements in networking technology.

Personal Attributes

• Strong verbal and written communication skills, with a customer-focused approach.
• Self-motivated, with the ability to work independently and take ownership of outcomes.
• Able to manage multiple priorities and work effectively across concurrent projects.
• Professional, collaborative, and service-oriented in approach.

Schedule

• This role is office-based, with attendance required five days per week.
• Some weekend and after-hours work will be required to support operational and change activities

Data Management &Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
• Work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• Work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants, please Email, fabianling@recruitexpress.com.sg

Fabian Ling Tuong Liing

R25129353

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

Data Management &Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
• Work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• Work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants please send your resume to venessagoh@recruitexpress.com.sg

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted.

Position title : Senior Data & Marketing Officer / Executive

Location: Kallang

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3900 - $4600

Responsibilities: 

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Company’s own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives

Requirement

• Degree in Marketing, Business and Engineering will be prioritized
• Minimum 4 to 7 years of relevant experience
• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Key Responsibilities

• Build and maintain scalable data pipelines using Python
• Write production-grade Python code specifically for data processing, transformation, and ETL workflows
• Perform data cleaning, preprocessing, and feature preparation for analytics and AI use cases
• Use data analysis and manipulation tools to handle large datasets efficiently
• Develop reusable Python modules for data ingestion and pipeline automation
• Perform exploratory data analysis (EDA) to understand data patterns and quality issues
• Optimize data workflows for performance, scalability, and reliability
• Support data requirements for AI/ML and Generative AI systems
• Build data services and APIs to support downstream AI applications
• Ensure data quality, consistency, and observability across pipelines

Must have skills:

Python & Data Libraries (Hands-on Experience Mandatory)

Candidates must have solid practical experience with:

• Pandas — data manipulation, transformation, and analysis
• NumPy — numerical operations and array-based processing
• Matplotlib — data visualization and reporting
• scikit-learn — basic ML workflows and model evaluation
• PyTorch — deep learning and AI model experimentation

AI / Generative AI Enablement

• Prepare and structure datasets for ML and LLM-based systems
• Support integration of AI models into data pipelines and applications
• Enable workflows for Generative AI use cases (RAG systems, agent workflows)
• Work with multiple AI model providers:
• OpenAI
• Anthropic
• LLaMA
• Mistral
• Exposure to AI orchestration frameworks such as LangChain, AutoGen, and CrewAI

Core Requirements

• Solid hands-on Python coding expertise focused on data systems (critical requirement)
• Ability to write clean, efficient, production-grade Python code
• Thorough understanding of data structures, ETL pipelines, and data workflows
• Experience working with large-scale structured and unstructured data
• Solid SQL skills for data extraction and manipulation
• Understanding of data modeling and analytics workflows
• Ability to support end-to-end data-to-AI pipelines

Good to Have

• Experience with big data or distributed processing systems
• Understanding of vector databases and embedding-based retrieval systems
• Experience building APIs or services for data/AI systems
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Exposure to production monitoring and data observability tools

Role Overview

We are looking for an experienced Senior Data Engineer to build scalable, secure, and high-performing data solutions that support digital transformation and data-driven decision-making. In this role, you will design and maintain data pipelines, data models, and data warehouse solutions while working closely with business users, IT teams, and data stakeholders across complex technology environments.

Job Responsibilities

• Translate business data requirements into technical specifications.
• Collaborate with IT teams on technology stack, infrastructure, and security alignment.
• Design and build data ingestion pipelines to collect, clean, merge, and harmonize data from multiple source systems.
• Monitor databases and ETL systems, including capacity planning, maintenance, performance tuning, and issue prevention.
• Construct, test, and maintain reusable data models based on end-user requirements.
• Design and build secure mechanisms for users and systems to access data from the data warehouse.
• Research, propose, and develop new technologies and processes to improve data infrastructure.
• Work with data stewards to establish and enforce data governance policies, best practices, and procedures.
• Maintain data catalogue, metadata, and data lineage documentation.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement data security best practices, including access control, encryption, and data masking.

Job Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Strong understanding of system design, data structures and algorithms, data modelling, data access, and data storage.
• Hands-on experience with cloud technologies such as AWS, Azure, or Google Cloud.
• Experience with Databricks.
• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with orchestration frameworks such as Airflow or Azure Data Factory.
• Proficient in Python, Shell Scripting, and SQL.

Preferred Requirements

• Familiarity with CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, and Terraform.
• Experience implementing technical processes for data security, data quality, and data governance.
• Familiarity with government systems and policies relating to data governance, data management, data infrastructure, and data security will be an advantage.
• Experience in Climate and Weather domains will be an added advantage.

About the Company

We are a premier global enterprise solutions and HR technology transformation partner working alongside hyper-scale multinational corporations, complex joint ventures, and global enterprise clusters. By combining advanced master data governance, predictive data modeling, and cutting-edge cloud architecture, we build secure and cohesive digital ecosystems that power intelligent HR operations. We focus on structural data integrity, cross-border data privacy engineering, and cultivating top-tier senior technical advisory talent in Singapore.

About the Job

We are seeking an experienced, elite-level SuccessFactors Data Lead to take complete strategic ownership of the end-to-end data strategy, architecture, and migration delivery across a complex multi-instance global enterprise. In this high-impact position, you will design the data models, master data governance rules, and quality thresholds across multiple SAP SuccessFactors instances, legacy platforms, and fragmented HR tools.

Your mission goes far beyond basic technical ETL (Extract, Transform, Load) execution. You must possess a deep functional command of how HR data behaves inside the SuccessFactors Employee Central engine. You will orchestrate complex multi-cycle data migrations, enforce regional data privacy standards (including GDPR and PDPA), and meticulously build a clean, trusted, and harmonized master data foundation engineered to support advanced human capital analytics and emerging GenAI/agentic frameworks.

Key Responsibilities

HR Data Strategy, Target-State Architecture & Harmonization

• Target-State Modeling: Define and own the enterprise HR data strategy across multiple SuccessFactors instances and legacy platforms, crafting target-state data schemas, position hierarchies, corporate taxonomies, and strict master data standards.

• Global Harmonization: Drive multi-instance data harmonization across global clusters, ensuring complete data consistency across Foundation Objects (business units, cost centers, job frameworks, pay structures), custom fields, and picklist values.

• Multi-Entity Calibration: Design a unified global master data framework that seamlessly accommodates regional legal entity nuances, joint venture structures, and cross-cluster reporting analytics frameworks.

End-to-End Data Migration & Cleansing

• Migration Orchestration: Blueprint, sequence, and execute large-scale data migration cycles (including initial profiling, mock data runs, differential delta mapping, reconciliation, and production cutovers) using specialized tools such as Spinifex, OpenText, or cloud ETL platforms.

• Data Integrity Gates: Formulate comprehensive mapping rules, structural transformation logic, automated validation scripts, and custom Excel data manipulation routines to bridge legacy data stores with SuccessFactors.

• Source-Level Remediation: Design and deploy automated data quality profiling and deduplication frameworks, establishing clear data health KPIs and collaborating with regional business teams to correct anomalies at the source.

• AI Readiness Hardening: Enforce strict data profiling thresholds to guarantee that processed employee records achieve the structural data maturity required for secure GenAI and agentic workflows.

Data Governance, Compliance & Integration Design

• Policy Enforcement: Establish and lead global data governance forums, defining clear data ownership boundaries, data steward accountabilities, centralized data dictionaries, and corporate business glossaries.

• Data Privacy Engineering: Define, configure, and audit strict localized data privacy controls, cross-border data transfer rules, and data masking protocols within SuccessFactors data models to ensure absolute compliance with GDPR and PDPA laws during testing and migration.

• Integration Data Contracts: Partner tightly with the Integration & Reporting Lead to define structural data contracts, API payload definitions, and master data synchronization paths between Employee Central and downstream systems (such as non-SAP HR payroll engines, corporate finance ledgers, and ITSM/ServiceNow configuration databases).

Team Leadership & Value Realization

• Workstream Leadership: Lead, mentor, and coordinate a cross-functional team of data analysts, migration developers, and data stewards across onshore (Singapore) and offshore execution hubs.

• Value Tracking: Establish value tracking metrics to measure data normalization successes, focusing on the reduction of manual reconciliation hours and the optimization of manager self-service data experiences.

Skills & Experience Required

Must-Have Skills (Mandatory for Skills Matching)

• SuccessFactors Data Mastery: Minimum 8+ years of hands-on HR technology experience with expert-level proficiency in HR data architecture, schema mapping, and master data management within the SAP SuccessFactors ecosystem.

• Employee Central Data Model Expertise: Deep functional, hands-on command of the SuccessFactors Employee Central (EC) data structure, including Foundation Objects, Position Management mechanics, and complex employment record schemas.

• Global Migration Lifecycle Execution: Proven experience leading the data track for massive, multi-instance global HR transformation programs, managing automated ETL cycles from legacy landscapes into SuccessFactors.

• Specialized HR Tooling: Practical experience with dedicated HR migration and profiling utilities (e.g., Spinifex, OpenText) or expert-level data manipulation scripting capabilities.

• Data Privacy & Compliance Governance: Demonstrable knowledge of implementing data privacy controls, access masking, and cross-border routing rules in compliance with GDPR and PDPA mandates.

Good-to-Have Skills (Preferred Differentiators)

• Official SAP SuccessFactors certification (Employee Central module preferred).

• Prior experience utilizing enterprise-grade master data management (MDM) platforms or automated data governance consoles.

• Familiarity with integration interface platforms (such as SAP Cloud Integration / CPI middleware) or downstream People Analytics reporting suites (Story Reports).

• Deep comprehension of data maturity indexing required to feed downstream Large Language Models (LLMs) or autonomous agent networks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Architecture, Information Systems Management, Business Analytics, or a related technical/quantitative discipline.

• Outstanding consultative, workshop facilitation, and stakeholder management skills, with a proven ability to align competing priorities across global corporate divisions.

How to Apply

Please click on the 'apply' button to apply online. For more information, please reach out to Vievien Nathan.

EA License Number: 94C3609

Role Overview
We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment (CI/CD) and Site Reliability Engineering (SRE) practices.

As a forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, you will be working on:

•      Translate data requirements from business users into technical specifications.

•       Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

•      Build out data product as part of a data team:

•      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

•       Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

•       Construct, test, and update useful and reusable data models based on data needs of endusers.

•       Design and build secure mechanisms for end users and systems to access data in data warehouse.

•       Research, propose and develop new technologies and processes to improve agency data infrastructure.

•       Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

•      Maintain data catalogue to document data assets, metadata and lineage.

•       Implement data quality checks and validation processes to ensure data accuracy and consistency.

•      Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

Interested candidates, please send your CVs on nabilah.azman@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

This will be a 2-years direct contract position.

Responsibilities

• Translate strategic direction into actionable digital transformation and delivery plans for ML/AI initiatives.
• Oversee architectural decisions that enable scalable analytics capabilities
• Ensure that technical standards and responsible AI frameworks are consistently applied.
• Define divisional outcomes and OKRs in alignment with goals.
• Develop long-term roadmaps, and drive their execution across teams.
• Identify and remove systemic inefficiencies, anticipate risks, and take decisive action to navigate challenges.
• Build strategic cross-functional partnerships.
• Champion a culture of continuous improvement, open communication, and innovation.
• Build and manage a high-performing team.
• Coach people managers, scientists and engineers.
• Set hiring standards and lead recruitment efforts to bring in and develop top talent.
• Conduct regular 1:1s with direct and indirect reports.
• Gather feedback on team health and create the infrastructure and environment for consistent, motivated performance.

Requirements

Deep expertise in

• Satellite data exploitation, cloud infrastructure deployments and government security requirements.
• Data analytics, database management, and software development.
• Strong communication, interpersonal, and presentation skills.
• Able to think strategically and translate complex technical concepts into clear, actionable plans is important.
• Satellite mission control software, space systems, orbital analysis tools, and space weather monitoring highly advantageous.
• Experience in program development and management is highly advantageous.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

Roles & Responsibilities

Job Description

1.     Perform detailed cooling load calculations and thermal analysis for data halls, including rack-level heat load assessments.

2.     Design, review, and optimize ACMV systems, including:

- CRAC/CRAH units

- Chilled water systems

- Cooling towers and pumps

3.     Lead and support cooling system upgrades and retrofits, ensuring minimal disruption to live data center operations.

4.     Evaluate system performance using KPIs such as:

o  Power Usage Effectiveness

o  System Efficiency

5.     Conduct energy optimization studies and recommend improvements (e.g., air flow management, containment strategies, setpoint optimization).

6.     Support capacity planning and future expansion work based on IT load growth.

7.     Review engineering drawings, method statements, and ensure compliance with design intent and operational requirements.

8.     Work closely with operations teams to implement EOPs/MOPs for mechanical system interventions.

9.     Participate in risk assessments, failure mode analysis, and incident investigations related to cooling systems.

10.  Ensure all works comply with relevant standards and regulatory requirements in Singapore

Required Qualifications

1.     Bachelor’s Degree / Degree in Mechanical Engineering or related field

2.     Additional certifications relevant to theindustry is an added advantage 

3.     1-2 years’ experience maintainingelectrical, mechanical, fire protection system in a data centre environment

4.     Experience and knowledge of MEP equipmentsuch as CAHU, CRAC, ACMV systems, pumps, cooling towers, UPS, generators, etc.

5.     Strong technical expertise in thermalmanagement, cooling load calculations, and energy efficiency improvements,supporting design and upgrading of cooling systems in data centre environments.

6.     Strong problem-solving abilities,communication skills, and the ability to work independently and as part of ateam

7.     Strong written and verbal communicationskills

8.     Proficient in Computer skills eg.Microsoft office, google emails , docs etc.

9.     Shift work & Standby Duty is required(Shift allowance available)

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Technology Group
We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies.

Enterprise and Data Technology
Enterprise & Data Technology builds and advances the technology that underpins our enterprise and data capabilities. It brings together our core technology and data experts to design and deliver platforms for integration, analytics, and innovation. By combining these strengths into one coordinated group, we create seamless solutions that connect systems, improve data accessibility, and leverage AI at the platform level to enable smarter decision-making. Through modern, scalable, and secure technology, the team empowers the organisation with tools that drive insight, collaboration, and operational excellence.

What impact can you make in this role?
You will strive to build a high-performance enterprise data infrastructure, and create a results-driven approach with data products.

What will you do as a Data Business Analyst?

• Conduct requirement sessions with business users, analyze and design solutions holistically across the DSG’s offerings
• Work closely with various stakeholders such as business end-users, data vendors and data engineers to implement and support data solutions using best-of-breed technology and methodology while adhering to our data governance standards and data architecture principles
• Design testing strategies and execute end-to-end user acceptance testing of system and data changes in data solutions
• Manage end to end data management operational activities of data products, including monitoring data delivery, resolving operational incidents and providing advisory to users
• Establish a robust and scalable data operation process that encapsulate the entire data lifecycle from data registration to decommission
• Design and implement quality metrics and monitor quality of market data to ensure integrity and quality of data meets user expectations
• Set up, improve, and streamline data operations processes through analysing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) and incorporating best practices for continuous improvements and operational excellence
• Manage and maintain strong relationship with data providers (internal and external) and vendor to ensure continuous support and knowledge for existing and future data needs
• Coach and guide junior team members

What qualifications or skills should you possess in this role?  

• Possess a degree from recognized tertiary institution with at least 5 years of relevant experience in data management, finance or asset management industry, where at least 3 years are with hands-on experience in data management or data analytics or business analysis
• Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban
• Competent in managing data warehouse, designing data models, and use of data management tools such as Oracle, Snowflake, Informatica, Denodo and data visualisation tools such as Tableau
• Knowledge of using formulas/macros in Excel or coding in Python is advantageous
• Good understanding of the principles, key controls and processes relating to data management
• Detail oriented, with strong analytical skills and enjoy complex problem solving
• Strong interpersonal and communication skills to interact with diverse stakeholders to design and develop solutions
• Self-driven, pro-active and great sense of purpose to review existing data usage with a keen eye and implement innovative solutions for greater efficiency and quality of data processing

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.     

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer 
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Learn more about our Technology Group here: 
https://gic.careers/group/technology-group/

To be considered for the role, please submit a formal application through the GIC Careers site at: https://careers.gic.com.sg/job-invite/16162/

JOB DESCRIPTION

Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!

JOB SUMMARY

A data scientist is a statistical analyst who have working experience in the field of data science. Work with other data scientists, ML Ops team, R&D team, Business users’ team etc. in collecting, analyzing, interpret data sets and build AI/ML models to drive optimization and improvement of product development. As part of the company's AI/ML team member, data scientist is required to provide help in developing custom data models and algorithms to apply to data sets. Data scientist must also coordinate with different functional teams to implement AI/ML and monitor outcomes.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Lead/work with team members to lead AI/ML cases with proper planning and execution to deliver the cases and drive the efficiency for the Manufacturing.

• Conducts data analysis, or Works with related team to design or build dashboards using generative AI tools

• Works with engineering and data science teams to support model training, fine tuning, and deployment workflows, ensuring that machine learning and generative AI systems are properly integrated, monitored, and optimized based on business requirements.

• Identifies and analyzes patterns with machine learning models or Generative AI models etc. during AI/ML model training, and utilize those for inferencing.

• Educates the organization both from IT and the business perspectives people on new approaches, such as Generative AI, machine learning, AI computer Vision etc.

JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS

• Proficient in Python/R, Cloud techniques development experience is plus

• Strong statistics knowledge

• Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models are preferred

• Familiar with Natural Language Processing (NLP) or Generative AI models

• Good data sensitivity skill set is plus

• Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus

• Highly motivated and creative, thinking “out of the box”

• Strong team mentality, interpersonal and communications skills

• Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required

EDUCATIONAL BACKGROUND & EXPERIENCE

• People who are taking his/her Bachelor or above degree in Computer Science, Machine Learning, Mathematics or Statistics

• 6 years or above experience of data mining/machine learning experience is preferred

• 3 years or above experience of Generative AI experience is preferred

• 1 years or above experience of AI computer vision experience is plus

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the role

We are seeking a Salesforce Data Analyst to support large-scale system integration projects involving Salesforce and multiple external systems.

You will start by assisting in data mapping and integration work between Salesforce and APIs (e.g. MuleSoft), gaining hands‑on exposure to how data flows across systems. This includes understanding Salesforce data models, integration payloads, and transformation logic.

You will also support testing activities (SIT/UAT) and work closely with experienced consultants across Salesforce, integration, and functional teams.

Over time, this role can evolve into a Business Analyst or Developer track, depending on project needs and your interests.

This role is suited for individuals who are detail-oriented, structured, and proactive, and who are interested in understanding how enterprise systems connect and operate end‑to‑end.

Responsibilities

Data Mapping & Integration Support

• Work closely with functional, integration (MuleSoft) and data migration teams to support end‑to‑end delivery.
• Assist in mapping data between Salesforce objects and external systems via APIs.
• Analyse field definitions, data structures, and relationships across systems.
• Support the documentation of data templates, mappings, transformation logic and integration requirements.
• Work with senior consultants to clarify data inconsistencies, edge cases, and validation rules.
• Review API payloads (JSON/XML) to understand how data is exchanged between systems.
• Perform data patching when required.
• Maintain clear and well-structured documentation such as data mapping sheets, integration specifications (functional level), test scenarios and results.

Requirements & Functional Support

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Testing & Quality Assurance

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Requirements

Must have skills and experience

• Interest in data, systems, or integration work.
• Strong attention to detail and ability to work with structured information.
• Ability to analyse and compare data across different sources.
• Good logical thinking and problem-solving skills.
• Able to follow through on tasks and track details consistently.
• Comfortable working with multiple teams and stakeholders.

Good to have

• Basic understanding of databases, data structures, or APIs.
• Familiarity with JSON, XML, or Excel-based data mapping.
• Exposure (academic or internship) to system integration, business analysis, or testing.
• Interest in Salesforce, cloud platforms, integration or enterprise systems.

Ways of working

• Work collaboratively within an agile, sprint-based build delivery environment.
• Learn by supporting senior consultants.
• Take ownership of assigned data mapping and testing tasks, ensuring accuracy and completeness.
• Communicate proactively on progress, issues, and dependencies.
• Be comfortable working with detailed, structured tasks that require consistency and attention.

Success measures

• Produce accurate and complete data mapping documentation with minimal supervision.
• Understand Salesforce data models and basic integration flows.
• Support testing cycles with minimal errors in data validation.
• Proactively follow up on issues and close assigned tasks.
• Communicate clearly and build working relationships across teams.
• Demonstrate reliability, attention to detail, and ownership in day‑to‑day work.

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.  

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Get to Know Our Team

Agoda, part of Booking Holdings, we're building a Personal Travel Assistant — an LLM powered product that plans trips end-to-end and enables users to seamlessly book flights, hotels, and activities, all in one experience.

This is a new product built from the ground up, operating directly in real booking flows at Agoda scale. You'll have real ownership over how the system is designed, built, and evolved, with the freedom to make meaningful technical and product decisions from day one.

This role is ideal for senior Data Scientists or ML practitioners who enjoy owning complex systems end-to-end and working at the intersection of ML, product, and engineering.

What You'll Do

• Own end-to-end LLM systems: Design, build, and own LLM-based systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book.
• Turn ambiguity into production solutions: Translate open-ended product problems into concrete ML and LLM designs, balancing quality, latency, cost, and reliability in a real-world environment.
• Drive cross-functional decisions: Partner closely with product, engineering, and leadership to make informed trade-offs that directly shape the product and user experience.
• Iterate with real-world feedback: Ship quickly, learn from production usage, and continuously improve system behavior at scale.

What We're Looking For

• Technical depth: Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation.
• LLM systems and evaluation: Experience building and operating production LLM systems (e.g., RAG, tool/agent orchestration, context and memory management), with a strong focus on evaluation, testing, and iteration — or the ability to ramp up quickly in parts of this space.
• Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces where requirements evolve.

Why This Role

• Meaningful user impact: Help millions of travelers make better, more confident decisions for trips that matter to them.
• High ownership, high impact: Your work will directly shape a system used in real booking decisions — not demos or prototypes.
• Direct influence: Play a key role in both implementation and product direction.
• Competitive compensation: Flexible leveling with compensation aligned to experience and impact.

If you’re excited about building real-world AI products at scale and owning systems that directly impact millions of travelers, we’d love to hear from you

As we are growing and strengthening our Data Center business in the region, we are hiring a Principal/Lead Electrical Engineer to be based at our Singapore office. This role will focus in providing technical capability in mechanical engineering in Data Center projects; working with the Asia Pacific Data Center Lead, focusing on technical aspects and project management. 

Main duties: 

• Lead Electrical multi-disciplinary/functional team in the region to deliver Data Center and other technically challenging projects.
• Perform engineering tasks on the mechanical services from concept, BOD, 35% to 100% designs (including calculations, computer simulations, specifications etc.) for Electrical infrastructure in Data Center projects.
• Provide technical guidance to project and design engineers and resolve any technical problems faced during design and construction stages.
• Ensure that consistent quality standards and conformance with design plans / specifications are maintained across the project and coordination with other disciplines to ensure consistency across the project.
• Support in preparing proposals and bids when needed.
• Lead project/site meeting with Client, PM and Consultants from other disciplines (internal and external) through all stages of the project.
• Understand and follow plans, procedures, workflows, systems and tools to meet specific project requirements.
• Liaise and coordinate relevant technical issues with other disciplines.
• Build cultivate and build relationships with client generally as a Doer/Seller role.
• Support site supervision and plant commissioning activities when required.

To be a successful candidate, you shall possess: 

• Degree in Electrical Engineering recognized by PEB Singapore.
• Familiarity with relevant Local Codes and international standards to ensure compliance.
• Minimum 10 years of relevant working experience, with at least 3 years in Data Center Projects.
• Ability to work independently and in a team.

The salary will commensurate the skillsets and experience.

Please note:  If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Jacobs. Jacobs complies with the Tripartite Guidelines on Fair Employment Practices (TGFEP), including the prevailing guidelines on recruitment. All qualified applicants will be considered for the position regardless of age, race, religion, language, nationality, marital status, or family responsibilities.

#LI-WW1