Total 786 Information Technology job vacancies

Our client is a prominent data center and ICT services provider based in Singapore. It specializes in offering secure, scalable, and high-performance infrastructure solutions to enterprises, financial institutions, and government agencies.

Job Scope:

• Perform daily maintenance and operational tasks to ensure all primary and backup equipment in the data center remains fully functional.
• Conducting routine facility inspections, critical system checks, and functional tests.
• Address mechanical and electrical alarms or faults by identifying patterns and implementing appropriate corrective measures.
• Monitor and respond to alerts from the Building Management System (BMS) and Environmental Monitoring System (EMS), investigate issues, and provide timely updates on unresolved events.
• Participate in emergency response efforts and be available for standby duty as needed.
• Handle customer requests and deliveries, including installation support, coordination with design and construction teams.

Requirements:

• Degree or Diploma in Electrical/Mechanical Engineering or equivalent
• Min 1-2 years of relevant experience in Date Centre or M&E experience in building/construction industry
• Strong technical and functional skills and knowledge of facilities management and operations.
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $4,800 + AWS + Variable bonus

To apply, kindly click APPLY NOW to submit your latest CV in Microsoft Words.

We regret that only shortlisted candidates will be notified.

SATT

EA Registration No.: R1219605

EA License No.: 25C2695

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

As the Dev-ops engineer, you will do the following:

• Work in an AGILE team with other engineers and team leads on the feature deployment activities to achieve the sprint goals.
• Create CI/CD script for auto-deployment of new features.
• Help scale up or scale down the resources based on data load.
• Work in a team to turn innovative ideas into robust software and solve complex design and implementation problems.
• Maintain our production servers to achieve maximum uptime.

Basic Qualifications:  

• Bachelor’s degree in Computer Science, Computer Engineering, or a software-related discipline, from an accredited college or university
• Must have hands-on experience in maintaining Big Data tools and services.
• Experience in CI/CD tools such as Selenium, Jenkins and JIRA.
• Experience with container platforms like OpenShift, Kubernetes or docker
• Experience with configuration management tools like Ansible (preferred), Chef or Puppet.
• Experience with version control tools like Gitlab or bit-bucket.
• Experience in Linux environment, Linux networking and shell scripting.
• Proven success working in a team-oriented environment and demonstrated problem-solving skills.
• Must have an ability to identify, formulate, and solve engineering problems.

Desired Qualifications: 

• Experience in bringing up Hadoop clusters and installing various packages.
• Experience in implementation, and deployment of high volume, highly available, cloud-based systems would be a plus.
• A proactive and eager nature for tackling new challenges

about company

I am currently working with a software consultancy firm that provides premium software development and strategy expertise to a wide spectrum of clients. Projects are about Gaming/Gambling/Blockchain/Government Project.

Salary structure: Base + AWS + variable bonus. 2 rounds of interview process. Hybrid working arrangement. Office at CBD.

about job

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems

• Design and develop data pipelines/systems for data modelling, mining and production

• Make raw data clean and highly available for use in descriptive and predictive modelling

• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency

• Ensure data assets and data catalogs are organized and stored in an efficient way

• PL/SQL and SQL Tuning and optimization

skills and requirements

• Min 3 years in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions

• Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.

• Experience in database development (Oracle SQL/PLSQL)

• Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis • Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

JOB DESCRIPTION

As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities;

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML  techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)

Job Responsibilities;

• Work closely with business users of the group to build a strong pipeline of impactful projects. This will involve understanding business challenges, evaluating the use cases, scoping the problems, and developing business cases on how to turn data into critical information and knowledge which can then translate into business decisions and actions
• Scope, design, develop, deploy, and maintain data science enabled applications and data analytics applications across the organization
• Support the professional growth and development of data scientists and data analysts in your team
• Educate and share data analytics and data science knowledge with various departments
• Organise and guide your team to execute the pipeline of data science and data analytics projects. This involves,

- Perform data cleaning, pre-processing, and feature engineering to build machine learning models

- Iterate with key users to perform subsequent deep dives based on initial results and fine-tuning the models

- Build automation applications or APIs to call the models

Requirements;

• A Bachelor’s Degree or higher in Computer Science/Engineering, Data Science, Statistics, or Applied Mathematics
• At least 5 years of relevant experience, in data science, machine learning, and statistical modeling, preferably with experience managing a data science team
• Proven track record of successfully leading data science projects and guiding a team of data scientists
• Have strong analytical, conceptualization, and problem-solving skills. Able to take broad, strategic perspectives
• Excellent problem-solving abilities with a demonstrated aptitude for translating business requirements into analytical solutions
• Understand key concepts, techniques, and considerations in statistics, machine learning, and data analytics
• Proficiency in machine learning techniques, including regression, classification, clustering, ensemble, and deep learning
• Proficiency in programming languages such as Python, and SQL, along with experience working with large-scale big-data processing frameworks
• Excellent communication and presentation skills, with the ability to convey technical concepts clearly and effectively
• Strong team management skills who can motivate and grow the team and has strong organization skills. Effective in setting and managing individual and team KPIs and goals

Role Summary:

We are seeking for a strategic Data Engineer focused on building and scaling enterprise data platforms and pipelines for an upcoming project. The position combines strong data engineering fundamentals with data strategy, architecture, and governance, while also driving AI-enabled innovation to improve decision-making and user outcomes.

It requires technical expertise, analytical thinking, and stakeholder collaboration across product, engineering, and business teams. The role also emphasizes a mindset of ownership, informed decision-making, and continuous learning to support evolving technologies and product growth.

Key Responsibilities:

This role spans end-to-end data engineering, AI, and platform delivery, focused on building scalable data systems that support product, analytics, and policy decisions.

You will design and maintain data pipelines, platforms, and models, deliver analytics and data products, and work closely with stakeholders to turn business needs into actionable insights. The role also includes developing and operationalising AI/ML and LLM-based solutions, supported by strong MLOps practices.

On the platform side, you’ll implement modern data architectures and DataOps practices (e.g., automation, streaming, data observability) to ensure high data quality, reliability, and performance, while managing technical debt.

You’ll also ensure governance, security, and compliance, proactively managing risks in data systems.

Beyond technical execution, the role requires ownership and leadership—driving projects independently, mentoring others, collaborating cross-functionally, and contributing to broader strategy, technology decisions, and organisational impact.

Requirements:

Experience & Education

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• At least 5 years of experience in data engineering.
• Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

• Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).
• Experience with cloud data platforms and tools (e.g. AWS, Databricks, Redshift, Data Lakes).
• Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).
• Strong programming skills in Python, Scala, or Java.
• Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).
• Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

• Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.
• Familiarity with MLOps practices and cloud-based ML deployment.
• Awareness of responsible AI principles (fairness, robustness, safety).

Responsibilities:

• End-to-End Project Delivery: Lead data-driven initiatives from initiation to closure, including the implementation of Data Warehouses, Data Lakes, and visualization platforms.
• Stakeholder Management: Bridge the gap between technical teams (data scientists, AI engineers) and business units (actuaries, underwriters, and claims specialists).
• Data Governance & Compliance: Ensure all data projects adhere to strict industry regulations (e.g., GDPR, financial service standards) and maintain high data quality and security.
• Strategic Insights: Coordinate with data teams to leverage big data for actionable insights that drive underwriting efficiency and process optimization.
• Technical Planning: Define project scope, manage RAID logs (Risks, Assumptions, Issues, Dependencies), and oversee technical specifications and system workflows. 

Requirement:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Business Management.
• Certifications: PMP (Project Management Professional) or Agile/Scrum certifications are highly preferred.
• Technical Stack: Proficiency in languages like SQL, Python, or R and familiarity with tools such as Informatica, AWS, Azure, Tableau, or Power BI.
• Industry Knowledge: Understanding of insurance processes like Life or General Insurance underwriting, claims management, and policy.

Interested candidates, who wish to apply for the above position, please send in your resume to mail to mohamed.basith@persolapac.com

We regret that only shortlisted candidates will be contacted.

EA License No. 01C4394
EA Personnel Reg.No. R1104824 (Samsudeen Mohamed Basith)

This is in partnership with 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 e2i’s PDPA.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolapac.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

About STT GDC

Be part of a global leader in data centre solutions

ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, Italy, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.

Why STT GDC

STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.

✨ Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.

Job Summary

We would like to invite an independent and self-motivated individual who has keen interest in contributing to the growth of a trusted and innovative environment for Singapore’s data economy and society, and the enhancement of Singapore’s international standing as a trusted data hub to join the Data Innovation & Protection Group (DIPG).

Mandatory Skill-set

• 5+ years in a senior technical role (e.g., Solution Architect, Security Researcher, Privacy Engineer, or Digital Forensic Lead);
• Background in Computer Science, Computer Engineering, or a related field;
• A builder’s mentality - you are driven by technical curiosity and the desire to build a compliant-by-design future for Singapore;
• Keen interest to self-learn and keep up to date with development of data-driven technologies and impact of these technologies on industry and consumers;
• Ability to translate complex engineering, technical concepts and frameworks to a non-technical audience;
• Excellent problem-solving, analytical, and decision-making abilities;
• Certifications: Advanced technical certifications (e.g., CSPO, CHFI, SANS Cybersecurity, CIPT, CDPSE) are highly regarded.

Desired Skill-set

• Strong expertise in data protection, privacy engineering, and cybersecurity frameworks (PDPA, GDPR, ISO 27001);
• Hands-on experience in digital forensics, data breach investigations, and root cause analysis;
• Proficiency in security tools and technologies (SIEM, EDR, vulnerability assessment tools like Qualys, CrowdStrike);
• Knowledge of emerging technologies such as AI, Machine Learning, and Quantum computing with risk assessment perspective;
• Experience in technical research, threat intelligence, and vulnerability analysis;
• Ability to design and develop prototypes / proof of concepts (POCs) for technology evaluation;
• Strong understanding of system architecture, cloud security, and enterprise IT environments;
• Excellent data analysis and problem-solving skills with attention to detail;
• Ability to translate complex technical findings into business and policy recommendations;
• Experience in stakeholder management, technical reporting, and presentations;
• Strong communication skills for advocacy, documentation, and global engagement;
• Familiarity with compliance, regulatory standards, and risk management practices.

Responsibilities

• Manage data breach investigations to identify system failures, technical negligence behind complex data failures;
• Distill and present findings and recommendations from complex digital forensic methods and systems to internal stakeholdersTech Intelligence and Innovation;
• Conduct research on vulnerabilities of existing systems and solutions;
• Assess and evaluate emerging technologies and frameworks (such as quantum and AI) to ensure high standards of safety and utility;
• Design and build functional prototypes for new utilities or technology assessmentsAdvocacy and Engagement:;
• Develop technical materials and guides to help organisations ensure new products and services remain compliant and up-to-date;
• Represent the organization in international and domestic technical forums;
• Translate deep engineering findings into strategic recommendations for senior leadership and global standards bodies.
  
  Should you be interested in this career opportunity, please send in your updated resume to sandhya.p@sciente.com at the earliest.
  
  When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website(https://www.sciente.com/privacy-policy).Confidentiality is assured, and only shortlisted candidates will be notified for interviews.EA Licence No. 07C5639

We’re Hiring: Tech Senior Tech Recruiter (a.k.a. the person who finds tech unicorns faster than anyone else)

Do you have a radar for great tech talent?

Can you spot a brilliant engineer in a sea of LinkedIn profiles?

Do you thrive in fast-paced environments where speed, quality, and relationships matter?

If you answered YES, keep reading.

We’re looking for a Senior Tech Recruiter to join our teams by connecting exceptional tech talent with exciting projects across multiple business units.

Your responsibilities will include:

• Identifying and engaging technology professionals across engineering, cloud, data, and emerging tech

• Building strong pipelines of contractors and consultants ready to deploy into projects quickly

• Partnering with hiring managers to understand project requirements and talent needs

• Managing the full lifecycle of staff augmentation – from sourcing to onboarding

• Maintaining strong relationships with vendors, contractors, and internal stakeholders

• Moving fast without compromising quality (because projects don’t wait)

Ideal candidates will have:

• Experience in tech recruitment or staff augmentation

• Understanding of roles such as software engineers, cloud engineers, DevOps, data engineers, and architects

• Strong sourcing capabilities (LinkedIn, networks, referrals, communities)

• Ability to manage multiple roles and priorities in a fast-moving environment

• Excellent communication and stakeholder management skills

• A natural curiosity about technology and people

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Additional job description

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Google is transforming how hyper-scale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.

Qualifications

Job responsibilities

• Execute scope for the cross-functional product development of new products and programs. Guide products through the product life cycle process.
• Work with the partner teams across data centers, with supply chain, construction and execution teams, hardware and software operations to help execute product insertions.
• Lead the Site Intercept process, assess specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
• Develop and execute Tech Insertion Cut-In Framework that defines the "Point of No Return" for design changes based on construction schedules and supply chain lead times.
• Orchestrate cross-functional efforts, provide executive decision support, and refine processes to accelerate time-to-decision. Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience in Data Center Engineering and product design.

Preferred qualifications

• Certifications like MSP or MOR.
• Experience in technical and product program management.
• Experience managing risk of product and programs, implementing mitigation plans.
• Ability to navigate ambiguity and work in a fluid environment.
• Ability to influence cross-functional team members and stakeholders.

Responsibilities:

• Collaborate with cross-functional teams to gather business requirements
• Perform feature engineering using customer, product, digital, and behavioural data
• Design and build scalable AI models
• Evaluate AI model performance using technical and business metrics
• Design end-to-end model pipeline and conduct various tests to ensure robustness of solution
• Prepare model documentations and testing reports

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related fields.
• 3–5 years of experience in a data science or analytics role.
• Strong command of Python (especially for text analytics and data manipulation).
• Solid experience with SQL for querying large datasets.
• Familiar with machine learning libraries and GenAI.
• Ability to work with various types of data and derive meaningful insights.
• Strong communication skills and stakeholder management experience.

Responsibilities

• Leader in data engineering strategy, architecture, and implementation
• Mapping business data requirements into technical specifications and scalable solutions.
• Architecting and building ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Creating and implementing secure, cloud-based data infrastructure and access mechanisms.
• ETL systems and databases monitoring and optimization for performance, reliability, and scalability.
• Reusable data models construction
• Maintain data catalogues with metadata and lineage.
• Enforce data governance, quality, and security policies.
• Provide guidance for greenfield and brownfield implementations, from problem definition to solution design.
• Establish standards for assessments, discovery, and solutioning.
• Influence adoption of modern data and infrastructure practices.

Requirements

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Minimum 10 years of experience in data engineering, cloud infrastructure, or platform engineering.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Experience with Python, Java, Scala, and SQL.
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
• Experience with Databricks and implementing batch/real-time data pipelines.
• Exposure to CI/CD pipelines and infrastructure-as-code practices.
• Extensive knowledge of system design, data structures, algorithms, and data modeling.
• Extensive knowledge of data governance, security, and privacy (especially in public sector contexts).
• People manager with mentoring experience.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Work location : Pasir Panjang Wholesale Market
Working Hours : 6pm to 3am, as long as finished keying in can go back earlier sometimes 2am or earlier.

4 off days a month (self arrange with boss prior approval, can be all 4 days together or 4 separate days anytime within a month etc,). If you choose to work on off days, Extra Duty allowance will be provided.

Responsibilities:

Data Entry clerk / Customer Service

Key in order by buyer into system
Able to read the order in Mandarin, and type mandarin characters for other picker/packer to pick up correct order
Support customers query regarding orders or directly take order over phone.

Requirements:
Preferably familiar with type of vegetable

Able to communicate with Mandarin speaking customers professionally regarding orders / take orders

Basic Computer knowledge

Salary : Basic SGD 2200, after probation review salary with good performance.

Job Summary

We are seeking a detail-oriented and proactive Data Provisioning & Platform Operations Analyst to support enterprise data platforms projects for a renowned bank. This role will work closely with business, technology, and data governance teams to ensure secure, compliant, and efficient data provisioning across multiple environments.

Mandatory Skill-set

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related discipline;
• Must have 0-2 years of experience in data operations, data provisioning, or data platform support, preferably within the banking or financial services industry;
• Must have hands on experience in SQL;
• Familiarity with big data technologies such as Hadoop, Spark, data lakes, and data warehouses;
• Strong understanding of data governance, data security, and access control frameworks;
• Must have Strong analytical thinking with attention to detail and a proactive problem-solving mindset;
• Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences;
• Self-motivated team player with strong sense of ownership, drive, and initiative;
• Ability to work independently under pressure and manage multiple priorities effectively.

Desired Skill-set

• Experience with scripting languages (e.g., Python, Shell) and data integration/movement tools;
• Experience in banking or financial services;
• Exposure to cloud platforms (AWS, Azure, or GCP);
• Knowledge of data lineage or data catalog tools.

Responsibilities

• Work with business teams to understand their data needs and provide the required datasets;
• Manage data provisioning processes across different systems and environments;
• Ensure all data movement follows the bank’s data governance and security policies;
• Monitor data usage to ensure accuracy, efficiency, and proper access;
• Set up access and environments for new users on the platform;
• Maintain clear documentation of data processes, data flow, and system setups;
• Troubleshoot and resolve data access or provisioning issues;
• Build good working relationships with business and technical stakeholders;
• Support users with questions on data access and availability.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA License No. 07C5639

Brief Summary:

Join a dynamic team focused on enhancing cybersecurity through data analytics. Leverage your analytical skills to uncover threats and support strategic decision-making in cyber operations.

Responsibilities:

• Analyze, correlate, interpret, and visualize data to identify trends and patterns.

• Formulate and test hypotheses for threat hunting initiatives.

• Produce actionable insights and evidence to inform decision-making processes.

• Compile and share intelligence with counterparts for timely intervention.

• Translate complex concepts and findings into reports and presentations for senior stakeholders.

Requirements:

• A degree in Computer Science, Computer Engineering, Mathematics, Statistics, Data Science and Analytics, or a related field.

• Familiarity with cybersecurity concepts and applications is essential.

• At least 3 years of experience in data transformation, interpretation, and quantitative data analysis.

• Knowledge of statistical techniques and concepts (e.g., regression, properties of distributions, statistical tests) and experience in their application.

• Proficient in using databases and big data analytics frameworks such as Hadoop, Hive, or Spark, with the ability to write complex SQL queries.

• Domain knowledge in Computer Networking, Network Security, or System Security is advantageous.

• A proactive learner with the ability to independently acquire knowledge in new domains or technologies quickly.

Interested candidate who wish to apply for the advertised position, please click “Apply”. We regret that only shortlisted candidates will be notified 

EA License No.: 01C4394 (PERSOL Singapore Pte Ltd) 

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

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

Responsibilities:

• Works with Solution Architect & Business Analysts on end-to-end solution, evaluate and develop high-quality data solutions.
• Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
• Works cooperatively with others to resolve data and process issues.
• Uses standard data modeling, data flow, and data documentation tools to analyze, document and present data analysis work.
• Plan & develop ETL, Data preparation/aggregation processes from various sources to MSSQL database/PostgreSQL DB
• Maintain, and optimize ETL and other ETL processes to adapt to changes in needs and requirements.
• Participate in MS SQL code reviews and provide guidance on best practices.
• Review new database schema changes.
• Familiar with T-SQL, stored procedures, functions, inline SQL, database structures
• Analyze existing SQL queries for performance improvements.
• Monitor code migration and database change management through various stages of the development cycle.
• Design & Develop procedures and scripts for data migration.
• Develop, implement, maintain policies and procedures, and document database architecture to ensure security and integrity of the databases.

Requirements:

• 5 to 8 years of T-SQL programming.
• 2 to 3 years of Informatica development experience.
• Experience with migration of Informatica PowerCenter to IDMC.
• Experience with performance tuning of sources, mappings, targets, and sessions.
• Experience with Data Architecture and Data Modeling concepts.
• Familiarity with Microsoft SQL Server/PostgreSQL DB.
• Knowledge of git Source Control. and Knowledge of CI/CD pipelines or deployment automation tools.
• Critical thinker and problem-solving skills.
• Team player.
• Good time management skills.
• Great interpersonal and communication skills.

• Job Description
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns.
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization.
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration.
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration.
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or Lakehouse architectures.
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques.
• Python: Strong Python programming skills for data processing and automation.
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Requirements:
• Must have experience in data engineering or related roles
• Hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional
• Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications.

Be part of a data-driven project delivering insights and analytics solutions. This role supports data analysis, reporting, and project coordination, offering hands-on experience in analytics and stakeholder collaboration.

Job Description

• Support project coordination, including tracking timelines, deliverables, and stakeholders.
• Assist in data collection, validation, and review to ensure accuracy and consistency.
• Consolidate data from multiple sources into structured formats.
• Create reports, charts, and dashboards using Excel to present insights.
• Support testing of data systems, dashboards, and enhancements.
• Work with stakeholders to ensure data solutions meet business needs.

Requirements:

• Singaporean Only.
• 2–3 years of experience in data analysis, research, or project coordination.
• Strong analytical skills and attention to detail.
• Proficient in Microsoft Excel (e.g. pivot tables, charts).
• Good communication and stakeholder management skills.
• Familiarity with Python or R is an advantage.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Our client is a prominent data center and ICT services provider based in Singapore. It specializes in offering secure, scalable, and high-performance infrastructure solutions to enterprises, financial institutions, and government agencies.

Job Scope:

• Supervises and mentors junior staff on the required daily maintenance and operations of the data centre facilities to ensure serviceability of all active and redundancy equipment.
• Responsible for maintaining and operating critical infrastructure systems such as power, cooling, and fire protection to ensure continuous uptime.
• Oversee preventive and corrective maintenance, lead infrastructure upgrade projects, and coordinate with contractors and vendors.
• Managing risk, responding to incidents, and ensuring compliance with industry standards and regulatory requirements.
• Focus on improving energy efficiency and sustainability within the data center.

Requirements:

• Degree or Diploma in Electrical/Mechanical Engineering or equivalent
• Min 2-3 years of relevant experience in Date Centre or M&E experience in building/construction industry
• Strong technical and functional skills and knowledge of facilities management and operations.
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $5,500 + AWS + Variable bonus

To apply, kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

We are hiring on behalf of our client, a reputable organisation, for a Data Scientist to develop and deploy data science and Generative AI solutions that support key business functions across investment, industry development, and corporate operations.

This is an exciting opportunity to work on impactful AI initiatives, partnering closely with stakeholders to translate business challenges into scalable, data-driven solutions.

Key Responsibilities

• Collaborate with business stakeholders to understand priorities and identify high-impact use cases
• Design and develop solutions using Data Science and Generative AI techniques to drive measurable business outcomes
• Research and evaluate emerging AI methodologies (e.g. LLMs, Agentic AI, predictive modelling, anomaly detection, NLP, customer segmentation)
• Perform data wrangling and analysis, including preprocessing, cleaning, and feature engineering
• Support deployment, monitoring, and maintenance of AI/ML models and applications
• Develop backend APIs and services for AI model integration and deployment
• Build frontend interfaces and user experiences for AI-powered applications
• Maintain proper documentation for systems, models, and enhancements
• Identify and remediate security vulnerabilities in deployed solutions

Requirements

• Bachelor’s Degree in Computer Science, Data Science, AI, Machine Learning, or related fields
• Strong understanding of AI/ML techniques for regression and classification
• Proficiency in Python and common libraries (e.g. pandas, scikit-learn, matplotlib, NLP libraries such as spaCy/NLTK)
• Understanding of LLM concepts and architectures (e.g. embeddings, context windows, tokenisation, RAG)
• Experience with prompt engineering and context optimisation techniques
• Proficient in Git and SQL
• Familiarity with Business Intelligence tools (e.g. Tableau, Power BI, Qlik, MicroStrategy)

Preferred / Nice-to-Have Skills

• Experience with modern programming languages (e.g. TypeScript, C#)
• Exposure to cloud platforms (preferably AWS)
• Experience with Docker / Kubernetes
• Full-stack development experience, including:Backend frameworks (e.g. FastAPI, Flask, Express.js)Frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases (e.g. Pinecone, FAISS, Chroma)
• Familiarity with AI agents / multi-agent systems
• Strong communication skills with the ability to translate technical concepts to non-technical stakeholders
• Experience with statistical tools (e.g. R, SAS)

All information will be kept strictly confidential. Only shortlisted candidates will be contacted.

TALENT PULSE PTE. LTD.
EA License No: 25S2956

Job Summary

This role involves leveraging advanced data analysis, visualization, and engineering tools to develop data models, automate ETL processes, and deliver actionable business insights that drive strategic decision-making.

Responsibilities

• Analyze complex datasets using Power BI, Tableau, and QlikView/QlikSense to create interactive visualizations that support business objectives
• Develop and maintain SQL and Python scripts (using Pandas, NumPy, Matplotlib, Plotly, Bokeh) to extract, transform, and analyze data for reporting and predictive analytics
• Design and implement data models using Star Schema, Snowflake Schema, and DataLake architectures to optimize data storage and retrieval
• Manage and optimize databases on Azure SQL Database and SQL Server to ensure data integrity and performance
• Build and automate ETL workflows using SQL Server Integration Services (SSIS), Azure Data Factory (ADF), and Talend to streamline data transformation processes
• Utilize big data technologies such as Azure Synapse Analytics, Apache Spark, and Databricks to process large-scale datasets efficiently
• Implement DevOps practices by managing Azure DevOps pipelines and using Git/GitHub for version control and continuous integration/continuous deployment (CI/CD)
• Perform data cleansing, data mining, statistical analysis, and predictive analytics to uncover trends and support data-driven decision-making

About Us

ABeam Analytics is a proud and integral part of the global ABeam Consulting network. For decades, we have partnered closely with clients andstakeholders across Asia, serving as a trusted advisor by leveraging our deepunderstanding of regional business landscapes, local requirements, andregulatory frameworks.

At ABeam Analytics, we transform data into actionable insights. By combining advanced analytics with cutting‑edge technologies, we deliver innovative and impactful solutions to a diverse range of clients, helping organisation make informed decisions and drive business success.

Kickstart Your Career

Join our RAS-Programme (RASP), a structured development pathway designed to help graduates build a strong foundation in data management and analytics. The programme offers comprehensive training, hands‑on project exposure, mentorship from experienced professionals, and opportunities toobtain industry‑recognised certifications.

You will be part of a collaborative and supportive team that values learning, curiosity, and continuous improvement—an ideal environment to grow your skills and start your professional journey.

Are You the Right Fit?

If you are passionate about data and analytics, enjoy solving real‑world business problems, and are eager to learn in a fast‑paced and dynamic environment, this role could be a great fit for you.

Key Responsibilities

• Business Problem Solving: Understand client challenges and translate them into clear problem statements and analytics solutions.
• Data Management Solutions: Assist in developing and maintaining data management frameworks to ensure data quality, consistency, and accuracy.
• Analytics Development: Support data scoping, data cleansing, feature engineering, testing, deployment, and continuous improvement of analytics solutions.
• Design Collaboration: Participate in design discussions to help define data processes, architectures and requirements.
• Project Support: Provide progress updates and work closely with project managers and technical leads to refine problem statements.
• Team Collaboration: Work with cross‑functional teams using both waterfall and agile methodologies.

Requirements / Qualifications

• Diploma/Bachelor’s degree (or upcoming graduate) in Data Science, Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• Strong interest in data management, analytics, and problem‑solving.
• Basic knowledge of data concepts such as data modelling, data cleansing, or analytics techniques (academic or project‑based experience is acceptable).
• Familiarity with programming or analytics tools (e.g. SQL, Python, R, or similar) is an advantage, but not mandatory.
• Good analytical thinking and attention to detail.
• Strong communication skills and the ability to work effectively in a team environment.
• Willingness to learn, take initiative, and adapt in a fast‑paced setting.

Fresh graduates are encouraged to apply. Relevant internships, academic projects, or course work will be considered positively.

Why Join Us?

At ABeam Analytics, you will have the opportunity to work on meaningful projects, gain hands‑on experience, and build a strong foundation for your career in analytics. We offer a supportive and inclusive environment where learning is encouraged, mentorship is valued, and your growth matters.

Together, we create impactful solutions and shape the future of data‑driven decision‑making.

• Up to $4,500 per month
• Mon - Fri, office hours
• 3-month contract in the first instance, renewable for 9 months
• Central Location

What to expect:

• Extract and compile key performance metrics for weekly target performance reports with accurate data delivery to stakeholders.
• Support trend analysis to identify patterns and insights from performance datasets.
• Collaborate with marketing teams to put together reports for campaign performance and funnel analysis.
• Assist with website content uploads, updates, and maintenance including event listings, metadata management, and digital record processing.
• Monitor published content for accuracy, consistency, and currency of information.
• Co-ordinate event approval workflows ensuring compliance with established criteria and standards.
• Conduct comprehensive quality assurance checks on all files and content before publication.

Who we are looking for:

• Possesses minimum a Bachelor's Degree with 3 years of experience using web analytics tools and digital campaign performance tracking.
• Proficiencyin spreadsheet software (Excel, Google Sheets) and CSV file management.
• Problem-solving skills for troubleshooting content and data inconsistencies.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781