Total 4,052 job vacancies in Singapore

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

Here’s a shorter, more attention-grabbing version:

⸻

• Data-centre Typology: To front projects and provide technical leadership and governance, supporting work winning, design, and multi-disciplinary delivery for Singapore markets
• Develop architectural concepts, designs, feasibility studies that meet client requirements
• Act as the key point of accountability, aligning client requirements with technical execution and team performance
• Managing budgets and risks, and ensuring high-quality delivery while balancing client and internal needs

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

Dickson Koh, EA Registration R1103367

www.bayesrecruitment.com

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)

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

If you’re motivated, eager to learn — we want to meet you.

This isn’t your typical 9–5. It’s an opportunity to grow from day one, gain real-world experience, and be part of a team that genuinely wants to see you win. No prior experience needed — just a positive mindset and learning attitude. Structured training will be provided from Day 1.

The Opportunity

We work with established brands to bring their campaigns to life through creative and strategic execution. You’ll take on meaningful work, learn practical skills, build confidence, and develop professional and personal skills with strong mentorship and team support.

What You’ll Be Doing

• Collaborate with the team to execute and support marketing campaigns
• Create meaningful customer engagement experiences
• Brainstorm campaign ideas and contribute to problem-solving
• Develop communication, confidence, and leadership skills

What’s in It for You

• Travel Exposure – Regional and international opportunities 
• 1-on-1 Mentorship - Personalised coaching and development support
• Clear Career Growth – Clear progression and advancement pathways
• Supportive Team Culture - A team that grows with you
• Flexible work arrangement 
• Performance-based incentives (details shared during interview)

Job Details

Position: Full-Time

Location: Singapore (Hybrid work arrangement; office-based activities required)

Schedule: Monday to Friday

Start Date: Immediate / Within 1–2 Weeks

No Experience? No Problem.

We hire based on attitude, not background. If you’re hungry to learn, open to growth, and be part of a high-energy team, we want to meet you. 

Shortlisted candidates will be contacted within 24 hours.

1. Handle clients inquiries and provide information;
2. Prepare quotations, invoices, and sales documents;
3. Process clients orders and follow up;
4. Coordinate with logistics teams;
5. Maintain clients records and update sales databases;
6. Support the sales team with administrative tasks and reporting;
7. Follow up on payments and assist in account reconciliation;
8. Maintain good relationships with clients and respond to requests promptly;
9. Assist in preparing sales reports and monthly summaries;
10. Perform other duties assigned by management.

Lavender/ Nicoll Highway

6 Months Contract

$3500 to $3800

• Attached to Business Credit, Retail Credit Department
• Part of the Retail Credit team dealing in credit verification and approval of SME loan products
• Prepare credit papers
• Analyze and verify credit information based on documents submitted by borrowers and business units.
• Involvement in ad hoc projects
• Meticulous & good with numbers
• Has keen eyes in looking out for critical information & picking up of fraudulent documents while ensuring data accuracy
• Ability to make sense of data & information in supporting documents for credit assessment/ recommendation.
• Possess soft-skills for liaising with Business Units.
• Comfortable with evaluating credit applications as well as assessing credit worthiness while ensuring no breach in regulation and that all internal guidelines are adhered to.

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Looking for an opportunity to gain valuable experience, develop practical skills, and accelerate your personal and professional growth?

We are a dynamic Sales & Marketing agency representing established brands through face-to-face campaigns, events, and roadshows. If you’re energetic, enjoy meeting new people, and thrive in a fast-paced environment, we’d love to hear from you.

Position: Tuition Teacher (Math / Science / chemistry/ biology / economics)

Working days : 6 days (off on Friday)

Working hours (Mon - Thurs) : 1130am - 730pm

Sat & Sun : 930 - 630pm

Location: Rochor MRT

Starting Salary: $2400 - $3800 (depends on experience)

Key Responsibilities

• Deliver 1 to 1 engaging lessons based on the centre’s syllabus and materials.

• Teach primary / secondary / JC students (level can be adjusted based on your strength).

• Provide feedback and simple progress updates to parents when needed.

• Help prepare students for school exams and major exams.

• Maintain a positive, encouraging and disciplined environment.

• Assist with simple centre operations (e.g. admin, arranging materials) when required.

Requirements

• Minimum Diploma or Degree in any discipline

• Able to teach at least one subject confidently: Math / Science / Chemistry / Biology / Economics

• No prior teaching experience required – training will be provided.
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Responsibilities

• Chairside assisting in operative dentistry, surgical procedures
• Adhere to infection control and work safety regulations
• Maintain cleanliness and monitor temperature of dental fridge and materials
• Ensure tidiness of consultation rooms
• Perform other ad hoc duties as instructed by the supervisor

Job Requirements

• Min. N / O / A Level / NITEC / Diploma in any field
• Comfortable with hands-on, clinical support duties

Interested candidates are invited to email your resume to:

jen.ooi@recruitexpress.com.sg

Jenalyn Ooi Huai Sian (R1765551)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Job Description

Looking to kick-start your career in marketing and sales?

Join a team that values learning, mentorship, and personal growth. We are seeking motivated individuals who are eager to develop practical skills, gain real-world experience, and grow in a supportive and fast-paced environment.

No prior experience is required. We provide structured coaching, hands-on training, and ongoing mentorship to help you build confidence and professional skills from day one.

Key Responsibilities

• Support the execution of marketing and customer acquisition campaigns

• Engage with customers and represent clients professionally

• Collaborate with team members to achieve campaign objectives

• Contribute ideas during campaign planning and problem-solving discussions

• Develop communication, presentation, and leadership skills through guided training

• Participate in ongoing coaching and personal development sessions

What We Offer

Here’s a shorter, more attention-grabbing version:

⸻

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

Role Overview

We are seeking an AI & Data Engineer to design, deploy, and scale production-ready data pipelines and generative AI architectures on AWS. You will build robust data infrastructures, advanced RAG systems, and autonomous agentic workflows using cloud-native, serverless systems.

Key Responsibilities

• AI Architecture: Design RAG pipelines, vector stores, and embedding workflows on AWS.
• Agentic Workflows: Write clean, serverless code for autonomous AI agent systems.
• Data Pipelines: Build secure, scalable data ingestion pipelines with business stakeholders.
• AI Guardrails: Deploy evaluation metrics and safety guardrails for live AI models.
• Performance: Optimize algorithms for high-performance data processing, retrieval, and inference.
• Quality & Compliance: Drive end-to-end testing (unit/E2E) while ensuring data governance and security compliance.
• Agile Delivery: Participate actively in sprint planning, daily stand-ups, and retrospectives.

Requirements

• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• AI Experience: 3+ years of professional experience with LLMs and agentic AI workflows.
• Tech Stack: Proficiency in Python with 1+ years of hands-on exposure to AWS AI services.
• DevOps: Experience working in Agile environments with cloud-based CI/CD pipelines.

Position title : Data & Marketing Officer / Executive

• Location: Kallang
• Working Day: 5 Days (Mon - Fri) Overtime is required.
• Working Hour: 8.15am - 5.30pm
• Salary : $3000 - $3500 (Experienced candidate up to $4,500)

Responsibilities: 

• Opportunity: A chance to make measurable impact with your data analysis skills by turning data into actions that increase company performance.
• Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and Keyence software.
• Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.
• Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Requirements:

• Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.
• Knowledge of Power Automate is a plus.
• 3-6 years professional marketing experience (B2B preferred).
• Proven, data-driven marketing, campaign executive, and lead-generation experience.
• Minimum Bachelor’s degree.

Interested applicants can also send your resume to WA:+65 83472904 (Mr Samuel) and allow our Consultant to match you with our Clients.
No Charges will be incurred by Candidates for any service rendered.

Samuel Siaw
The Supreme HR Advisory Pte Ltd
EA No: 14C7279
Reg No: R2412474

The Data Center (DC) Operations Engineer designs, administers, and supports enterprise workload automation platforms, batch processing environments such as SAP and file transfers, as well as enterprise monitoring, backup, and recovery operations.

The role ensures the secure, reliable, and compliant execution of business-critical batch workloads, supporting IT Operations and application teams in a 24x7 production environment.

What You’ll Do:

Operations and Production Support

• Oversee daily batch operations to meet SLAs and maintain efficiency
• Configure, schedule, and maintain batch jobs and workflows in AWA and SAP
• Support production batch runs, ad hoc jobs, manual catch-up and recovery activities
• Work with application teams on job onboarding, testing, validation and deployment
• Investigate batch failures, perform root cause analysis, and implement preventive actions
• Support Data Center Operations in controlled batch execution and escalation management
• Support in manual deployment of approved changes and transport to production
• Maintain documentation, SOPs, and runbooks in line with operational and audit requirements
• Support High Availability (HA), Disaster Recovery (DR), and Business Continuity (BCP) readiness, including planning and execution of exercises
• Ensure compliance with audit, regulatory, IT security, and access governance requirements
• Perform periodic access reviews, configuration checks, and audit validations
• Support enterprise monitoring, backup, and restoration operations

Batch/Workload Automation Engineering & Administration

• Design, build, and maintain AWA components
• Implement modular, reusable, and standards-compliant workflows aligned with enterprise best practices
• Perform code promotion and transport management across DEV/UAT/PROD
• Monitor AWA platform health, performance, and job throughput
• Provide technical advisory to projects and/or users on batch automation design patterns and governance standards
• Administer the AWA platform, including components, agents, and user access

Required Skills & Competencies

Technical Skills

• Strong hands-on experience in Automic Workload Automation (AWA)

Working knowledge of:

• SAP batch scheduling
• OS platforms: Unix/Linux and/or Windows
• Scripting (Shell, PowerShell, or equivalent)
• Backup and Restoration tool (e.g., Veritas NetBackup)

Solid understanding of:

• Batch processing concepts (dependencies, triggers, calendars, SLA management)
• File transfer workflows (e.g., MFT, FTP/SFTP)

Experience with:

• Production support and incident management tools
• Monitoring and alerting systems (e.g., DX UIM, DataDog or Splunk)

Operations & Governance

• Experience in ITIL-based operations (Incident, Problem, Change management)

Familiarity with:

• Audit, compliance, and regulatory environments
• Access control and privileged account governance
• Knowledge of: HA/DR architectures and BCP execution

What You’ll Need:

• Bachelor’s degree in IT, Computer Science, or related field (or equivalent experience)
• 3+ years’ experience in enterprise workload automation / batch operations
• Proven experience supporting large-scale, mission-critical batch environments
• Exposure to regulated industries (e.g., utilities, banking, energy) preferred
• Experience with Continuous Delivery Automation (CDA) pipelines is an advantage
• Willingness to support 24x7 operations and on-call rotation

Thank you for your interest in SP Group.

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

Shipping Assistant

• Location: Pandan Road
• Industry: Manufacturing - internal shipping department
• Mode: Full time , perm
• Working days: Mon - Friday 9am to 6pm

Job Responsibilities

• Coordinate daily shipping and delivery schedules for frozen food products
• Prepare and process shipping documents (DO, invoices, packing lists, etc.)
• Liaise with logistics providers, drivers, and warehouse team to ensure timely deliveries
• Monitor shipment status and resolve delivery issues when required
• Ensure proper handling and compliance with cold chain requirements
• Maintain accurate records of shipments and inventory movements
• Support inventory coordination and stock dispatch planning
• Communicate with internal teams to ensure smooth order fulfilment

Ho Ming Jie (Edmund) Reg No: R1987094

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Full-Time | Training Provided | Entry Level 

Ready for a role that mixes people, purpose, and personal growth?

Working hours:  Monday - Friday 8:30am - 6pm

Location: Senoko, Woodlands

Full time

Job Description

• Shipment coordination (local and cross borders)
• Preparation of daily/monthly report
• Prepare internal reconciliation billing report
• Attend to customer’s daily operation meeting
• Any other ad-hoc duties

Requirements

• Minimum 1 year relevant experience
• Experience in SAP & WMS function will be added advantage
• Computer Literate & Proficient in MS Office

Ho Ming Jie (Edmund) Reg No: R1987094

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Our client is a well-established MNC specializing in precision manufacturing and engineering solutions, supporting customers across various industries globally. Due to their current expansion plan, they are looking for a Key Account Specialist (Entry Level) – Engineering to join their commercial team. They are located in the (West) – easily accessible.

Responsibilities for Key Account Specialist (Entry Level) :

• Manage assigned customer accounts and act as the main point of contact for commercial matters

• Coordinate RFQs, quotations, costing submissions, and follow-up activities

• Support account growth through new program opportunities and product expansion initiatives

• Liaise with engineering, operations, quality, and production teams on customer requirements

• Track project milestones, sample builds, engineering deliverables, and program timelines

• Coordinate customer requests, project updates, and issue follow-ups across multiple manufacturing sites

• Support new product introduction (NPI) activities and project handovers to operations

• Maintain quotation records, sales pipelines, account documentation, and forecasting updates

• Monitor customer complaints, corrective actions, and resolution progress with internal teams

• Assist in preparing business proposals, account reviews, presentations, and commercial reports

• Support cross-site coordination activities involving Singapore, Malaysia, and China operations

• Follow up on opportunity pipelines and support conversion of projects into mass production programs

Requirements:

• Diploma or Degree in Engineering, Business, or related discipline

• Candidates with 1–3 years of relevant experience in account management, sales coordination, customer support, or manufacturing environments are advantageous

• Exposure to precision plastics, tooling, Electronic Manufacturing Services (EMS), or contract manufacturing industries will be an added advantage

• Familiar with RFQ processes, quotations, project coordination, and customer support functions

• Training Provided

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: job•@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)