Total 463 Senior Executive job vacancies

Logistics Operations Executive

5.5 days, Mon-Fri 9am-6pm/ Sat 9am-1pm (Sat can WFH)

Salary: $2700-$3000

Location: Alexandra Road, BS Centre Singapore 159932 (Redhill)

Job Responsibilities:

• Liaise with operations and warehouse teams to ensure accurate and timely data processing
• Receive stock checklists, load items to store using trolley, and update records in the system
• Priorities and allocate pick-and-pack orders to courier partners for local and export deliveries
• Oversee store operations and inventory management for car accessories
• Monitor inventory levels, track stock movement, and forecast replenishment needs based on sales trends
• Maintain accurate stock records, manage stock rotation, and ensure timely restocking
• Process customer orders accurately and promptly for both online and in-store sales
• Coordinate preparation, packing, and shipment of orders with suppliers and logistics partners
• Track delivery status and resolve shipment delays, discrepancies, or errors
• Work closely with the sales team to ensure product availability and support customer requirements
• Handle customer enquiries related to order status, delivery, returns, and exchanges
• Prepare basic inventory and fulfilment reports and support other warehouse administrative duties as assigned

Requirements:

• Diploma or equivalent qualification in Logistics, Supply Chain, Business Administration, or a related field
• Basic understanding of warehouse operations, inventory control, and order fulfilment processes
• Able to handle data entry and update systems accurately and in a timely manner
• Comfortable with physical tasks such as loading items using a trolley
• Entry level is welcome to apply as training will be provided

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

• Possess a degree in Computer Science/Information Technology or related fields.
• Min 8 years of relevant working experience in software or data engineering with proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Strong software engineering, analytical and problem-solving skills.
• Good team player and communication skill.
• CAT-1 cleared/eligible candidate is required for this role.
• Experience in AWS and Kubernetes (K8s)
• Familiarity with data platforms such as Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect.
• Familiarity with GitHub workflows and Datadog.
• Develop and maintain data pipelines and ETL/ELT processes, and ensuring maintainability through unit and integration testing.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.

Roles & Responsibilities

• Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
• Collect large sets of structured and unstructured data from independent sources; clean, validate, and transform data to ensure accuracy, completeness, and uniformity
• Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
• Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
• Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
• Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
• Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
• Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features

Knowledge & Competencies:

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
• Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
• Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
• Good knowledge of Python; familiarity with C/C++ is a plus
• Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
• Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
• Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
• Self-driven, innovative, and collaborative, with strong communication and presentation skills; able to bridge business and technical audiences
• Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
• A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.

Job Duties & Responsibilities:

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

We are seeking an experienced Senior Data Analyst to lead the build and operationalisation of a robust data management platform across the region. This is a hands-on role suited for someone passionate about designing scalable data infrastructure and delivering reliable, production-grade data pipelines.

Experience with Microsoft Fabric is advantageous, but not required—candidates with strong data engineering fundamentals and a willingness to learn new technologies are encouraged to apply.

Data Platform & Pipeline Engineering

• Design, build, and optimise end-to-end data pipelines to ingest, process, and transform data from diverse regional.
• Develop scalable and maintainable data ingestion frameworks and processing patterns
• Establish a robust, high-performing data architecture to support analytics and downstream use cases

Data Management, Quality & Governance

• Embed data quality checks, validation rules, and monitoring within data pipelines
• Implement and support data governance practices including data lineage, metadata management, and access control (e.g., via tools like Microsoft Purview)
• Define and enforce data ownership, stewardship, and governance standards across the region
• Ensure compliance with internal policies and regional data regulations
• Collaborate with global data teams to align on governance frameworks, KPIs, and best practices

• Develop and maintain curated data layers and semantic models to support reporting and analytics needs

• Partner with business stakeholders to translate requirements into scalable data models
• Ensure consistency and standardisation of KPIs and reporting outputs across the region
• Support migration or integration of existing reporting platforms where relevant

Requirements/skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong hands-on experience in building and managing data pipelines and data platforms
• Solid understanding of data modelling, data governance, and data quality best practices
• Exposure to cloud-based data platforms; familiarity with Microsoft Fabric or similar modern data platforms is a plus
• Proven ability to work in a fast-paced environment and adapt to new tools and technologies

EA License No. 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Shenton Way

8.30amto 5.30pm (Mondays to Fridays) / 9.00am to 6.00pm (Mondays to Fridays)

Responsibilities

• Understand the structure of each deal & items stating in the checklist prior preparing the reconciliation template
• Close follow-up with Line Manager to ensure checklist is drawn up for each agreement prior the deal commences, making sure the checklist is updated whenever there’s changes to the deal
• Setup contract details in system together with billing instructions to facilitate correct invoicing to customers
• Update customers on the monthly slot charges with bunker update & ensure correct fixed slot invoices issued promptly to customers
• Extract customers’ loading information – to scrutinize the report & probe agents for clarification on any data discrepancies, also follow up to ensure system gets updated with correct records
• Submit reconciliation statement to customers on their slot usage against their slot commitment, it has to be drawn up accurately & submit within stipulated timeframe
• Follow up with customer for the statement confirmation & ensure accurate & timely issuance of invoices
• Handle queries raised by customers & resolve the disputes independently
• Any other adhoc duties as assigned.

Requirements

• Minimum Diploma in Shipping/ Logistics/ Maritime studies or similar specialization.
• Preferably 2 to 3 years’ working experience in shipping industry. Entry level candidates are welcomed to apply.
• Strong working knowledge of MS Office in particular MS Excel

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Role Description

The Customer Service Executive will be responsible for promotingcord blood banking services, handling client enquiries, and maintaining strongclient relationships. The role involves engaging with customers, providingaccurate service information, and ensuring a positive client experiencethroughout their journey.

You will also support lead follow-ups and client retention effortswhile working closely with the team to achieve service and business objectives.

Key Responsibilities

• Promote cord blood banking services to prospective and existingclients
• Handle client enquiries and provide professional service information
• Build and maintain strong, long-term client relationships
• Support lead follow-up and customer retention activities
• Assist with coordination of client communications and processes

Qualifications

• Min. Degree/Diploma in any discipline
• Strong communication and interpersonal skills
• Good negotiation and client engagement abilities
• Able to work independently and as part of a team

Interested candidates please send in your resume to:

clinicalresearch@recruitexpress.com.sg

Hayley Ho

OutsourcingTeam

Company Reg.No. 199601303W

EA Licence No. 99C4599

5.5 days, Mon-Fri 9am-6pm/ Sat 9am-1pm (Sat can WFH)

Salary: $2700-$3000

Location: Redhill

Job Responsibilities:

• Liaise with operations and warehouse teams to ensure accurate and timely data processing
• Receive stock checklists, load items to store using trolley, and update records in the system
• Priorities and allocate pick-and-pack orders to courier partners for local and export deliveries
• Oversee store operations and inventory management for car accessories
• Monitor inventory levels, track stock movement, and forecast replenishment needs based on sales trends
• Maintain accurate stock records, manage stock rotation, and ensure timely restocking
• Process customer orders accurately and promptly for both online and in-store sales
• Coordinate preparation, packing, and shipment of orders with suppliers and logistics partners
• Track delivery status and resolve shipment delays, discrepancies, or errors
• Work closely with the sales team to ensure product availability and support customer requirements
• Handle customer enquiries related to order status, delivery, returns, and exchanges
• Prepare basic inventory and fulfilment reports and support other warehouse administrative duties as assigned

Requirements:

• Diploma or equivalent qualification in Logistics, Supply Chain, Business Administration, or a related field
• Basic understanding of warehouse operations, inventory control, and order fulfilment processes
• Able to handle data entry and update systems accurately and in a timely manner
• Comfortable with physical tasks such as loading items using a trolley
• Entry level is welcome to apply as training will be provided

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Our vision is to transform how the world uses information to enrich life for all.  
 
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 

As part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. 

You will collaborate with cross-functional teams across Product Engineering, Design Engineering, System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 

Key Responsibilities 

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.  

• Large-Scale Data Pipelines: Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, complex, and heterogeneous datasets from multiple manufacturing and engineering systems.  

• Advanced Data Analytics: Apply Python, SQL, and data science libraries (e.g., pandas, matplotlib) to perform deep analysis, generate visualizations, and deliver actionable engineering insights.  

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.  

• Machine Learning Production: Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.  

• Distributed Data Processing: Implement robust data processing techniques such as data cleansing, outlier detection, and missing-data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).  

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.  

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.  

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.  

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes. 

Minimum Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 

• Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries. 

• Strong programming proficiency in Python and SQL.  

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.  

• Familiarity with agentic AI frameworks such as LangGraph, Google ADK, AutoGen and evaluation tools like AgentEval. 

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.  

• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow. 

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production. 

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.  

• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, and missing-data treatment.  

• Strong analytical, problem-solving, and software development skills.  

• Strong communication skills with the ability to explain technical concepts and findings effectively.  

• Strong sense of ownership, accountability, and engineering rigor. 

Preferred Qualifications 

• Experience building agentic systems or AI solutions for semiconductor manufacturing, product engineering, validation, yield improvement, reliability, or failure analysis. 

• Deep understanding of semiconductor-specific AI/ML applications 

• Demonstrated understanding of deep learning architectures and computer vision.  

• Experience using enterprise data platforms such as BigQuery, Snowflake, MSSQL, Oracle, or Redshift. 

• Experience with Kubernetes or similar production infrastructure and deployment frameworks. 

• Experience with web application technologies such as JavaScript, HTML, and CSS.  

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness. 

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content. 

• Experience working in cross-functional environments spanning engineering, manufacturing, data science, and IT. 

We are seeking motivated individuals who are eager to build a long-term career in marketing, customer engagement, and brand communication.

No prior experience is required — comprehensive training and 1-on-1 mentorship will be provided.

Key Responsibilities

• Represent established brands at events, roadshows, and outreach activities
• Engage customers and deliver professional brand experiences
• Support execution of marketing and promotional campaigns
• Work closely with the team to achieve campaign objectives

What You Will Gain

• Structured 1-on-1 mentorship and professional training
• Clear leadership progression pathway
• Local and overseas exposure opportunities
• Supportive, high-energy, and collaborative team culture

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

• Develop and maintain enterprise reporting solutions and business intelligence dashboards for insurance operations. 

• Analyze insurance data across policy, claims, underwriting, customer, finance, actuarial, and regulatory domains. 

• Design and deliver interactive dashboards, reports, and analytics solutions using Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

• Work with business stakeholders to understand requirements and translate them into data-driven insights. 

• Develop KPI dashboards covering premium growth, loss ratio, claims performance, underwriting profitability, customer analytics, and operational metrics. 

• Build and optimize data models, reporting layers, and self-service analytics capabilities. 

• Work with Microsoft Fabric components including Lakehouse, Data Warehouse, One Lake, Dataflows Gen2, Semantic Models, Notebooks, and Pipelines. 

• Support data integration, data warehousing, ETL/ELT processes, data quality, reconciliation, and governance initiatives. 

• Collaborate with underwriting, claims, actuarial, finance, risk, compliance, and technology teams. 

• Minimum 3 years of experience in Data Analytics, Business Intelligence, or Reporting. 

• Hands-on experience in to BFSI domain  

• Strong experience with Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

•  Strong SQL development skills with experience in query optimization. 

• Good understanding of Data Warehousing, Data Modeling, ETL/ELT, and Data Governance concepts. 

• Experience with Azure Data Services and cloud analytics platforms. 

• Knowledge of KPIs such as GWP, NWP, Loss Ratio, Combined Ratio, Claims Leakage, Claims Turnaround Time, and Customer Retention Metrics. 

• Experience with Python, Spark, Databricks, or Machine Learning will be an added advantage. 

• Relevant certifications in Power BI, Microsoft Fabric, Azure Data Engineering, Tableau, Qlik, or Insurance domain are preferred. 

. 

We are seeking motivated individuals who are eager to build a long-term career in marketing, customer engagement, and brand communication.

No prior experience is required — comprehensive training and 1-on-1 mentorship will be provided.

Key Responsibilities

• Represent established brands at events, roadshows, and outreach activities
• Engage customers and deliver professional brand experiences
• Support execution of marketing and promotional campaigns
• Work closely with the team to achieve campaign objectives

What You Will Gain

• Structured 1-on-1 mentorship and professional training
• Clear leadership progression pathway
• Local and overseas exposure opportunities
• Supportive, high-energy, and collaborative team culture

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

Job Summary

Join a fast-growing environment as a Business Development Executive (Entry Level) to develop communication, sales, and customer engagement skills through hands-on experience.

Responsibilities

• Engage potential clients to generate interest and acquire new customer leads
• Respond promptly and professionally to customer enquiries to ensure positive interactions
• Build and maintain effective interpersonal relationships to foster client trust and loyalty
• Participate actively in team training and development sessions to improve skills and support team goals

Preferred competencies and qualifications

• Collaborate effectively with colleagues by demonstrating a team-oriented mindset
• Adapt quickly and show strong willingness to learn in a dynamic work environment

Other Information

Benefits:

• Weekly performance incentives
• Mentorship and coaching
• Networking opportunities
• Positive and energetic environment

Brand Ambassador

About the Role:

We are seeking a dynamic and strategic Brand Ambassador to become the living embodiment of a brand. You will bridge the gap between our company and our audience, building authentic relationships and creating memorable experiences that drive brand love and loyalty.

Key Responsibilities:

* Represent the brand positively and professionally 

* Cultivate and manage relationships with clients and customers

Who You Are:

* Team player and self-driven

* Good interpersonal and communication skills

* Willing to learn and upskill

What We Offer:

* Competitive salary and performance bonuses.

* Opportunity for career growth in marketing.

* A creative and collaborative work environment.

* Gym membership

* Regional travel opportunities

Contributes to the development of new analytics tool, software, and approaches, including the design, development, troubleshooting and debugging.

  *   Ongoing maintenance, update and support of the existing programming and analytic tools

  *   Develop, implement and maintain server and database infrastructure, hardware and software to ensure maximum tool uptime and performance.

  *   Execute end-to-end data processing workflows, ensuring data is accurately ingested, cleaned and structured across corporate systems.

  *   Manage and monitor data flows between current and future infrastructure components to maintain data integrity and consistency.

  *   Analyze processed data to uncover trends, patterns and operational performance metrics using statistical techniques.

  *   Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives

  *   Leads and /or provides expertise to functional project teams and may participate in cross-functional initiatives.

The requirements:

  *   5 years of hands-on experience in data engineering and analytics

  *   Strong skills in statistical tools and programming languages such as Python, R, etc.

  *   Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.

  *   Proficiency in SQL for data extraction and manipulation.

  *   Attention to detail and a commitment to data accuracy.

  *   Proactive approach to identifying issues and providing solutions.

  *   Strong analytical and problem-solving skills. Ability to analyze complex datasets and translate data into actionable insights.

  *   Ability to present complex information in an understandable and compelling manner.

  *   Excellent written and verbal communication skills

  *   Ability to work independently and collaboratively as part of team

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.

Asa 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, youwill 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, meta data 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.

5 days, 8:30am to 5:30pm

Gross Salary: $3000 - $4000 (Basic + Incentives)

Location: 45A Pandan Road Singapore 609287 (Jurong)

Job Summary:

In this role, you will be responsible for identifying new business opportunities, managing customer accounts, and driving revenue growth. You will also support the end-to-end sales process by coordinating with internal teams and ensuring timely follow-ups with clients. 

Job scope:

• Sales of Aviation lubricants and chemicals
• Manage and maintain strong relationships with Principal Account
• Service and maintain good customer relationships with existing accounts
• Opening of new accounts & explore new business opportunities
• Handling customer’s enquiry & requirements
• Performing pricing analysis
• Maintain and update customer database
• Delivery presentation at customers’ visits
• Submit weekly and monthly sales reports and sales plans
• Ad-hoc duties as assigned 

Requirements:

• Have experience as a Sales Representative or similar role.
• Minimum Diploma in Business, Sales, Marketing, or related field

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities

IT Helpdesk & Corporate Support (~20%)

·       Provide Level 1 IT support for Corporate Office users (~35 users)

·       Manage user provisioning, device setup, access rights, and asset tracking

·       Troubleshoot common issues (M365, endpoints, printers)

·       Escalate complex infrastructure issues to central IT or vendors

·       Maintain structured ticket logs and monthly support reporting

Data Governance & Quality (~20%)

·       Support structured data quality assessments across corporate and plant systems

·       Coordinate with data owners to maintain master data integrity

·       Maintain enterprise data standards, dictionaries, and validation rules

·       Support digitization of manual data capture processes

·       Identify and document systems of record for key operational data

·       Work on digitization of data

Process Automation (~40%)

·       Document and map repetitive/manual processes across plants and corporate functions

·       Identify and prioritize automation opportunities

·       Develop and maintain low-code/RPA workflows

·       Test, deploy, and monitor automation performance

·       Maintain automation inventory and quantify efficiency gains

·       Track and report time savings and error reduction

·       Continuously refine deployed automations

Applied AI / ML Support (~20%)

·       Prepare structured datasets for AI/ML use cases

·       Perform exploratory data analysis (EDA)

·       Manage and maintain ETL/ELT pipelines for centralized data preparation

·       Support development, testing, and monitoring of predictive/prescriptive models

·       Document model performance and improvement opportunities

Qualifications & Skills

Education

·       Degree in Information Systems, Computer Science, Data Analytics, or related field

Technical Skills

·       Working knowledge of SQL, Python or R

·       Familiarity with JavaScript, HTML, CSS (basic level)

·       Experience with Power BI or similar visualization tools

·       Exposure to low-code automation tools (Power Automate, UiPath, etc.)

·       Understanding of data governance and data lifecycle principles

·       Strong documentation discipline

Helpdesk Technical Skills

·       Windows 10/11 troubleshooting

·       Microsoft 365 administration and support

·       Email configuration and troubleshooting

·       End-user device and peripheral support

·       Basic network connectivity troubleshooting

·       User and access management

·       Shared drive and permission management

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.

About the Role

We are seeking a motivated Marketing Executive to join our growing team. You will assist in campaign planning, support events, and engage directly with customers to build brand awareness. This is an excellent opportunity for fresh graduates to gain hands-on experience in sales and marketing.

Responsibilities

• Assist in planning and executing marketing campaigns
• Support events, promotions, and customer engagement activities
• Monitor campaign performance and report results
• Coordinate team roles when required

Requirements

• Strong interpersonal and communication skills
• Positive attitude, willingness to learn, and ability to work in a fast-paced environment

What We Offer

• Structured training and mentorship
• Career progression opportunities into senior marketing roles
• Performance incentives and recognition
• Regional exposure and event opportunities

Interested? Apply today and join us!