Responsibilities

• Create, update, and maintain client reference data within the system
• Scan, archive, and manage client onboarding and periodic review documentation
• Perform mark-to-market valuation and pricing of securities
• Assist with ad-hoc duties as assigned

Requirements

• Minimum 1 to 2 years experience in Static data management

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

about the job. An exciting opportunity has arisen for a technical specialist to spearhead the development and maintenance of cutting-edge data architecture and next-generation intelligence tools.

• Drive the design, deployment, and optimization of corporate analytics repositories and cloud-native architecture.

• Build and integrate highly scalable pipelines for data transformation, ingestion, and storage using cloud services.

• Oversee data quality, security protocols, governance frameworks, and overall infrastructural reliability.

• Conceptualize and implement advanced language model applications, cognitive assistants, and automated workflow solutions.

• Monitor industrial trends to implement modern digital capabilities and optimize current organizational operations.

skills and experience required.

- Strong hands-on experience in ETL/ELT pipeline development
- Proficient in data transformation, cleaning, and modeling
- Good experience with SQL and working with large datasets
- Familiar with Airflow, AWS Glue ,S3 , Redshift , Lambda
- Experience working with LLMs (e.g. OpenAI, Claude, or QWEN)

To apply online please use the apply function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253)

We are currently seeking a motivated and detail-oriented individual to join our team as a Commercial Executive. This position plays a crucial role in handling the daily commercial operational matters for vessel and building business relationships with external stakeholders.

Responsibilities:

Commercial & Daily Operations

• Handle day-to-day commercial operational matters for vessel (Chemical tankers and Floating Storage Unit), covering vessel lineup, employment potential, and active trading routes
• Monitor and support commercial decision‑making for current and prospective voyages in coordination with market conditions
• Maintain close oversight of fleet deployment from a commercial perspective to optimize utilization and revenue

Cross‑Functional Coordination

• Coordinate closely with the Operations team and other Business Units to ensure smooth commercial and operational execution
• Support alignment between commercial commitments and operational capabilities

Contracts & Commercial Documentation

• Assist in drafting, reviewing, and administering commercial contracts, including Charterparties, Storage Agreements, STS Agreements, and related commercial documentation
• Ensure contracts reflect agreed commercial terms and minimize contractual and operational risks

Client & Market Engagement

• Build, sustain, and strengthen business relationships with traders, operators, charterers, and brokers
• Act as a key commercial contact for external stakeholders on employment and operational matters
• Maintain close awareness of the tanker market, industry trends, regulatory developments, and clients’ evolving requirements

Commercial Intelligence & Reporting

• Track market movements, competitor activity, and industry news relevant to fleet employment
• Provide commercial inputs, updates, and ad-hoc reporting to management as required

General Duties

• Perform any other projects or responsibilities assigned by the top management

Requirements:

• Diploma or Degree in any discipline
• Entry-level candidates are welcome, no prior experience required
• Proficient in Microsoft Office applications (Excel, Word, Outlook, Teams & OneDrive)
• Confident individual with the ability to work independently with minimum supervision
• Detailed-oriented with a strong interest in problem solving
• Team player with good communication skills and a customer-centric mindset
• Possess strong business acumen
• Positive, proactive and "can-do" attitude

If you are passionate about commercial operations and thrive in a fast‑paced environment, join our small and dynamic Commercial team—we look forward to receiving your application!

Do remember to include details of your work experience, qualification, current and expected salary in your resume.

We regret that only shortlisted candidates will be notified. Thank you for your job application!

Event & Marketing Trainee | Entry-Level

We’re seeking ambitious individuals who are eager to learn, develop new skills, and accelerate their career growth.

Through structured training and mentorship, you’ll gain practical experience in marketing, events, communication, and team collaboration.

✨ No prior experience required
✨ Mentorship from experienced professionals
✨ Performance-based growth opportunities
✨ Positive and energetic work culture

Responsibilities

• Ensures that all unsecured and secured applications are processed with accuracy in accordance to the guidelines set by the bank, and within stipulated SLAs.
• This includes and are not limited to:
• Process and verify authentication checks &/or data entries
• Perform and verify accurate income computation
• Ensure accurate input/output to enable good customer service delivery
• Documentation of procedures to ensure compliance with group policies in procedures.
• Conduct internal reviews / tests to ensure compliance Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.
• Handle administrative duties that include but are not limited to filing, printing, scanning, archiving

Skills/Requirement

Job Requirements

• Ability to think objectively and 'think outside the box' when analyzing issues
• Possess a strong analytical and problem-solving skills with excellent verbal/written communication and interpersonal skills
• Proficient in the use of Microsoft Excel, powerpoint and macro

Want to be part of a team that values real personal growth, mentorship, and celebrating wins together?

This is an entry-level position designed for candidates looking to build valuable life skills and start their career journey. Join us to gain real-world experience in marketing while receiving mentorship and development opportunities in a high-energy team environment.

Want to be part of a team that values real personal growth, mentorship, and celebrating wins together?

This is an entry-level position designed for candidates looking to build valuable life skills and start their career journey. Join us to gain real-world experience in marketing while receiving mentorship and development opportunities in a high-energy team environment.

“The way to get started is to quit talking and begin doing"

– Walt Disney

Royal Organisation is looking for individuals from any background who is hungry to learn, creative and driven

You will be supported, coached from scratch, and be given opportunities to reward yourself for what you have worked hard for

YOU WILL GET

• Personalised mentorship

• Personal development workshops and skillsets

• Vibrant and closely-knitted team environment

YOU MUST BE

• A keen and humble learner

• Comfortable in promoting and communicating verbally

• Ambitious but possess strong interpersonal skills

• Creative combined with persistence and perseverance

YOU WILL BE

• Conveying the value of our client's product/services to prospective customers

• Partnering closely with the sales team to refine and deliver presentations

• Learning to handle and lead your sales team

PERKS:

• Travelling opportunities

• Strive in a fully performance-based industry

Join us now to advance and become a better version of yourself!

Entry-Level Events & Marketing Executive (Brand & Campaigns | Training Provided)

We are selectively hiring individuals with a strong interest in marketing, branding, and campaign execution. This entry-level role is ideal for candidates who want hands-on exposure to brand marketing and customer engagement, with full training and mentorship provided.

What You’ll Do

• Support the execution of brand and marketing campaigns

• Assist with on-site promotions and customer engagement activities

• Communicate brand messages clearly and professionally

• Learn fundamental marketing, communication, and campaign skills

• Work with team leaders to improve campaign effectiveness

What We Offer

• Structured marketing and communication training

• Personalised mentorship from experienced leaders

• Exposure to real-world brand campaigns

• Travel opportunities and performance-based, uncapped earnings

• Clear career progression into senior marketing roles

Who We’re Looking For

• Entry-level candidates interested in marketing and branding

• Strong communication skills and willingness to learn

• Coachable, professional, and growth-oriented individuals

• No prior experience required — training will be provided

Looking for a Career with Growth, Learning, and People Interaction?

We are seeking driven individuals to join our recruitment team. This role offers the opportunity to develop consulting, business communication, and relationship management skills while helping companies hire top talent.

Your Responsibilities:

• Identify and engage suitable candidates for open positions
• Conduct phone screenings and candidate assessments
• Manage interview scheduling and candidate follow-ups
• Build professional relationships with clients and job seekers
• Assist in recruitment projects and hiring campaigns

Why Join Us?

• Structured training programme
• Mentorship from experienced consultants
• Clear promotion pathway
• Competitive salary with performance rewards
• Dynamic and collaborative work environment

We're Looking For:

• Strong communication skills
• Self-motivated and goal-oriented individuals
• Team players who enjoy working with people
• Candidates eager to learn and grow professionally

Interested candidates please send in your resume to:

clinicalresearch@recruitexpress.com.sg

Hayley Ho

Outsourcing Team

Company Reg.No. 199601303W

EA Licence No. 99C4599

Responsibilities

• Assist Relationship Managers to attain approval on new applications
• Perform execution of documents and disbursement duties for approved applications
• Develop and maintain understanding of dealer or agent base
• Act as the key contact for dealers or agents for documentation follow up
• Evaluate customers applications and conduct phone calls to confirm details
• Assist with ad-hoc duties as assigned

Requirements

• Proficient in Microsoft Office

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

Job Title: Front of House Staff (Entry Level)!

Weekday Rate: $13/hour
Weekend Rate: $15/hour
Department: Front-of-House - F&B Department

Work Schedule: Minimum 3 days/week, 20 hours/week minimum, up to 35 hours/week

Location:

• Sentosa (Gold) - DRIM Korean Steakhouse

• Orchard: DRIM Korean Steakhouse

• Orchard: MODU SamGyeTang

• Orchard: Kimchi Dining

• Orchard: Song Gye Ok Chicken BBQ

• Telok Ayer: Song Gye Ok Chicken BBQ

• Orchid Country Club: GOCHU Korean Dining 

Overall Job Objectives:

We are looking for highly motivated and passionate individuals to provide warm, friendly, and exceptional food & beverage service within INITIA Group’s F&B brands. He/She will assist the Outlet In-Charge in driving outlet sales while delivering excellent service to ensure customer satisfaction.

ADVANCEMENT CRITERIA: Promotion to experienced server level based on schedule regularity, demonstrated menu expertise, storytelling skills, and customer engagement quality. 

Core Responsibilities:

1. BUZZER & TABLE MANAGEMENT
- Clear and reset tables efficiently between seatings
- Maintain table cleanliness and proper setup throughout service
- Respond promptly to buzzer calls from customers 

2. FOOD RUNNER DUTIES
- Deliver food from kitchen to tables accurately and promptly
- Learn menu items, ingredients, and preparation methods during food running
- Ensure proper presentation and temperature of all dishes 

3. MENU MASTERY & TRAINING
- Study menu thoroughly including dish names, ingredients, and Korean terminology
- Participate in mandatory training sessions and tastings
- Pass role-play tests demonstrating menu knowledge and storytelling ability 

4. PROGRESSION TO SERVER DUTIES 

- Upon passing tests, begin taking customer orders
- Serve food and beverages with proper technique 

- Engage with customers to enhance dining experience 

5. CUSTOMER ENGAGEMENT
- Provide friendly, attentive service
- Answer basic menu questions accurately
- Support senior servers and team members 

Job Specifications:

• Previous restaurant experience is an advantage

• Good communication skills.

• Able to work independently and demonstrate positive professionalism.

• Friendly, outgoing, and committed to delivering outstanding customer service.

• Flexibility to work shifts, including weekends and public holidays, based on business needs.

• Candidates must be legally eligible to work in Singapore. Work visa sponsorship is not provided for this role.

Key Deliverables:

• Efficient table turnover by clearing, resetting, and maintaining table cleanliness, while responding promptly to customer buzzer calls.

• Accurate and timely delivery of food from the kitchen to guests, ensuring correct orders, proper presentation, and appropriate temperature of all dishes.

• Demonstrated menu mastery through successful completion of training sessions, tastings, and role-play assessments covering dish knowledge and storytelling.

• Smooth transition to server duties by confidently taking orders, serving food and beverages with proper technique, and assisting in enhancing the overall dining experience.

• Consistent delivery of friendly and attentive customer service, accurately answering basic menu inquiries and actively supporting senior servers and team members.

Benefits of the role:

• Monthly variable sales incentive

• Annual completion bonus of 1 month salary (For Full-time if applicable)

• Medical coverage (For Full-time if applicable)

• Group discount (Dining & Salon)

• T⁠raining & Career Growth

• Opportunity to cross-rain at Overseas Outlets

INITIA GROUP is the biggest brand concept leader in Singapore & Malaysia. We have been in the beauty and F&B industry for years and are now in Art, Retail, and Photo Studios. We are a fast-paced growing company, bringing all unique and on-trend concepts. We have a lot of expansions going on and we need additional talents in our growing family.

.

If you’re excited about our company’s vision for this position and want to start the path of becoming one of our future leaders, we’d like to hear from you.

.

You may visit our website to learn more about us: https://initia.sg/

.

APPLY NOW! 

Key Responsibilities:

• Implement, maintain, and administer IT infrastructure including networks, operating systems, storage, and backup systems
• Collaborate with system development teams on system design, implementation, integration, and testing
• Provide 24x7 on-call support on a rotational basis, including executing corrective actions to resolve production issues and minimize system downtime
• Develop and maintain technical and program documentation to support effective planning and execution
• Liaise with customers and external vendors to troubleshoot and resolve technical issues

Requirements:

• Minimum of 3–5 years of relevant working experience
• Bachelor's Degree Holder
• Solid understanding of IT infrastructure, including operating systems and networking
• Strong interest in emerging technologies and a willingness to continuously upgrade skillsets

(EA Reg No: 20C0312)
Please email a copy of your detailed resume to qianyu@talentsis.com.sg  for immediate processing.

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

JOB SUMMARY:

We're looking for a Senior Data Engineer to design and build complex data systems independently. You'll tackle challenging technical problems - optimizing query performance at scale, architecting fault-tolerant pipelines, and building high-throughput data services with minimal guidance. This role is for experienced engineers who can take ambiguous requirements, propose solid technical solutions, and deliver production-ready systems end-to-end.

This role requires 5+ years of hands-on experience building data infrastructure in production environments. You'll work independently on substantial technical projects, make sound architectural decisions within your domain, and contribute to raising the technical bar through code reviews and knowledge sharing. You're expected to be self-sufficient in execution while collaborating effectively with engineering, analytics, and product teams.

KEY RESPONSIBILITIES:

• Data Infrastructure: Design, develop, and maintain robust data pipelines and storage systems.
• Data Quality: Ensure high data reliability, consistency, and accuracy across all data flows.
• Performance Tuning: Optimize data processing jobs and system performance at scale.
• Process & Mentorship: Improve data engineering workflows and mentor junior data engineers.
• Collaboration: Work with business analysts, data scientists and backend teams to deliver timely, usable data solutions.

JOB REQUIREMENTS:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• Experience: Minimum 5 years in data engineering or related backend engineering roles.
• Tech Stack: Proficient in Python or Java/Scala; experience with big data tools like Spark, Flink, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure), good understanding of SQL.
• Data Modeling: Solid experience in building and maintaining data models, data warehouses, and ETL/ELT pipelines.
• System Design: Ability to design scalable, reliable data architectures that support analytics and real-time use cases.
• Data Governance: Familiar with best practices for data quality, security, lineage, and compliance.
• Cross-team Work: Strong communication skills and ability to work closely with product, engineering, and business analytics teams.

Soft Skills:

• Team Mindset: Contribute to shared goals and support team members with a collaborative approach.
• Ownership: Take initiative and full responsibility for delivering high-quality data solutions.
• Adaptability: Open to feedback, eager to learn new technologies, and flexible in changing environments.
• Communication: Communicate complex technical topics clearly to both technical and non-technical stakeholders.

What We Offer

• Technical Leadership Opportunities: Participate in high-impact projects and lead the design of critical systems.
• Continuous Growth: Access to mentorship, learning resources, and a clear career progression path.
• High-Performance Collaboration: Work with a talented team using modern development practices (Agile/CI-CD).
• Flexibility and Trust: An open culture that encourages innovation and autonomous decision-making.

Responsibilities

• Implement audit trail and governance controls
• Support UAT validation and business sign-off
• Collaborate with business units and Data Analytic teams
• Design, implement, and maintain deterministic rule-based logic
• Convert business requirements and domain knowledge into structured rule frameworks
• Ensure rule versioning, governance, and end-to-end traceability
• Evaluate and enhance Python-based AI components and workflows
• Verify AI-generated outputs for compliance with established business rules
• Undertake any other ad hoc duties as assigned

Requirements

• Minimum 1 to 2 years of experience in UAT/Business Analysis/Data functions
• Experienced in Data analysis, business analysis

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI No.: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

Job Responsibilities:

•  Perform continuous monitoring, routine patrols, and inspection of data centre infrastructure, critical facilities, and associated equipment.
•  Manage day-to-day maintenance coordination, and escalate any critical troubleshooting requirements that needs to be conducted by manufacturers.
•  Conduct routine checks of M&E and critical systems performance.
•  Record and report daily operating conditions, abnormalities, and system status.
•  Supervise and oversee OEMs, subcontractors, and service vendors performing works on electrical, mechanical, fire, and critical facilities systems.
• Ensure all vendors deliver competent, safe, and quality services in compliance with contractual obligations, site rules, and safety requirements.
• Coordinate and monitor scheduled and ad-hoc vendor activities, ensuring proper documentation and work completion.
• Promptly respond to incidents, alarms, and emergency situations.
• Execute incident escalation in accordance with approved escalation matrices and emergency response procedures.
• Provide standby and emergency support when activated, including shift stand-in or additional coverage as required.
• Ensure proper handover and takeover of duties during shift changes.
• Carry out duties that comply with approved SOPs (Standard Operating Procedures), MOPs (Method of Procedures), and EOPs (Emergency Operating Procedures).
• Carry out all work strictly in accordance with site processes, operational governance, and safety regulations.

Requirements:

• Nitec / Higher Nitec / Diploma in Electrical/Mechanical/DC Infrastructure or relevant engineering discipline (Electrical, Mechanical or related fields)
• Additional certifications relevant to the industry is an added advantage
• 1 -2 yeas experience maintaining electrical, mechanical, fire protection system in facility management, particularly handling critical systems would be an added plus
• Strong problem-solving abilities, communication skills, and the ability to work independently and as part of a team
• Proficient in Computer skills eg. microsoft office, google emails, docs etc
• Shift work & Standby Duty is required

We are looking for a Data Center Engineer who will be supporting mission-critical infrastructure across Singapore. This is a hands-on role where you will be working directly in the data center environments managing the full hardware lifecycle - from deployment to decommissioning - while collaborating with global engineering teams.

What you’ll be doing

• Support installation, maintenance, and decommissioning of server hardware in data centres
• Perform rack & stack, cabling, and hardware troubleshooting
• Work closely with engineers and vendors on infrastructure projects and upgrades
• Follow SOPs for hardware handling, data sanitisation, and asset tracking
• Support day-to-day operations, ensuring uptime and operational efficiency
• Travel between data centre sites within Singapore when required

What we’re looking for

• 1–2+ years in IT infrastructure / desktop / data centre support
• Basic understanding of server hardware, networking (cabling/connectivity), and data centre environments
• Exposure to rack setups, hardware lifecycle (install/decom), and asset tracking tools
• Awareness of power (PDU/UPS) and cooling concepts (hot/cold aisles)
• Familiarity with ticketing tools (e.g. BMC Remedy) is a plus
• Comfortable working in data centre environments (confined spaces / elevated areas)

This is an initial 6-months contract that is renewable with permanent visbility.

Senior Data Engineer

Are you passionate about building scalable data platforms that power business decisions and products at scale?

We're looking for a Senior Data Engineer to join a high-performing engineering team, where you'll play a key role in designing, building, and optimizing modern data platforms. This is an opportunity to work with large-scale datasets, cloud technologies, and real-time data pipelines while having a strong influence on technical decisions and architecture.

What You'll Be Doing

• Design, develop, and maintain scalable data pipelines and data platforms supporting analytics, reporting, and business applications

• Build and optimize ETL/ELT workflows to ensure reliable, high-quality, and accessible data across the organization

• Develop and maintain data models, data warehouses, and data lake solutions

• Improve performance, scalability, and reliability of data processing systems and workflows

• Work closely with Data Scientists, Analysts, Product Managers, and Software Engineers to deliver impactful data solutions

• Drive best practices in data engineering, code quality, testing, monitoring, and automation

• Mentor junior engineers and contribute to a strong engineering culture through knowledge sharing and technical leadership

What We're Looking For

• Degree in Computer Science, Software Engineering, Data Engineering, or a related discipline

• 5+ years of hands-on experience in Data Engineering, Backend Engineering, or related technical roles

• Strong programming experience in Python, Java, or Scala

• Experience working with modern data technologies such as Spark, Kafka, Airflow, Flink, or similar tools

• Solid understanding of SQL, database design, and data modelling concepts

• Experience building and supporting data warehouses, data lakes, and large-scale data pipelines

• Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform

• Strong problem-solving skills with the ability to design scalable and maintainable solutions

• Excellent communication skills and experience working with cross-functional teams

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kinlong.fok@quesscorp.sg with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Quess Selection & Services Pte Ltd

EA Licence No: 23C2060 | EAP Registration No: R2095054

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA

Responsibilities

We are looking for an exceptional Associate Data Scientist to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems.

• Build and improve AI services using LLMs and custom machine learning models for production use cases.

• Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.

• Write high-quality Python code that is testable, maintainable, and efficient.

• Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).

• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.

• Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.

• Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights

• Contribute to technical design and code reviews, helping raise engineering quality across the team.

• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Requirements

Qualifications / Experience / Technical Skills

• Experience with tool-use agents or workflow-aware AI systems.

• Experience building AI products in enterprise SaaS environments.

• Experience with A/B testing and statistical significance techniques.

• Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).

• Experience working with modern data warehouses such as Amazon Redshift Snowflake.

We are looking for a skilled and experienced Data Science Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to support the processing and analysis of clinical study and digital device sensor data. As a Data Science Engineer, you will work closely with data scientists and software engineers to ensure the efficient and reliable flow of data from source systems to analytical tools and platforms.

Responsibilities:

• Design, develop, and maintain scalable data pipelines to ingest, transform, and load clinical study data from various sources, including digital device sensors.
• Optimize data storage and retrieval processes in cloud-based platforms to ensure high performance and reliability.
• Collaborate with data scientists to integrate data processing pipelines with AI-powered algorithms and third-party analytical tools or platforms.
• Implement data quality checks and monitoring mechanisms to ensure the integrity and accuracy of the data.
• Troubleshoot and resolve issues related to data pipeline performance, reliability, and scalability.
• Work closely with software developers, system architects and other cross-functional teams to develop data-driven business solutions.
• Stay up-to-date with emerging technologies in AI & Cloud computing and best practices in data engineering to continuously improve data processing pipelines and infrastructure.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in designing and building data pipelines using ETL tools and frameworks such as Apache Spark, Apache Beam, or Apache Airflow.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of database systems, data warehousing concepts, SQL and NoSQL.
• Experience with AI and Cloud Computing: Hands-on experience with cloud platforms like AWS and familiarity with AI solutions in these environments.
• Excellent problem-solving and troubleshooting skills with a strong attention to detail and quality.
• Effective communication and collaboration skills with the ability to work in a team environment.

Preferred Qualifications:

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with big data technologies such as Hadoop, Hive, or Presto.
• Knowledge of distributed computing frameworks such as Apache Hadoop or Apache Spark.
• Familiarity with ElasticSearch or AWS OpenSearch is plus
• Prior experience working with healthcare or clinical data is a plus.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Capacity Engineer (Data Center) role for our client in Singapore which is a leading global investment bank. The Data Centre Capacity Engineer is responsible for capacity planning and management across data centres and network equipment rooms.

This role ensures sufficient space, power, and cooling are available to support current operations and future growth, while maintaining resilience, compliance, and cost efficiency.

Key Responsibilities

Capacity Planning & Management

• Plan and manage data centre and network room capacity covering space, power, and cooling.
• Develop short‑, medium‑, and long‑term capacity forecasts based on IT demand and growth projections.
• Support phased load planning (e.g. IT load ramp‑up by phase).

Infrastructure Assessment

• Evaluate electrical infrastructure including UPS, transformers, PDUs, generators, and redundancy (N, N+1).
• Assess cooling infrastructure such as CRAH/CRAC units, chillers, and cooling towers to support projected IT loads.
• Identify capacity constraints, single points of failure, and mitigation options.

Design & Setup

• Support data centre and network room design, layout, and rack planning.
• Review and validate load calculations for electrical and cooling systems.
• Ensure new deployments align with data centre standards and best practices.

Tools & Inventory

• Maintain accurate capacity data in DCIM and asset management tools (e.g. Nlyte, Remedy).
• Validate inventory accuracy and ensure alignment between physical assets and system records.

Governance & Operations

• Support Method of Procedure (MOP) reviews related to capacity upgrades and changes.
• Work closely with Operations, Facilities, Network, Hosting, and Governance teams.
• Provide input to vendor designs, tenders, and technical reviews.

Reporting & Stakeholder Management

• Produce regular capacity reports and dashboards for management.
• Communicate risks, constraints, and recommendations clearly to stakeholders.

Required Skills & Experience

• Strong understanding of data centre power and cooling infrastructure.
• Experience in capacity planning for data centres and network rooms.
• Familiarity with redundancy concepts and resilience standards.
• Experience with DCIM and asset management tools.
• Ability to work across IT, facilities, and vendor teams.

Preferred Qualifications

• Background in data centre operations, facilities engineering, or infrastructure planning.
• Experience supporting large‑scale or regulated enterprise environments (e.g. financial institutions).