Total 3,918 job vacancies in Singapore

What if your first job could teach you skills that last a lifetime?

We are looking for motivated and driven individuals to join our growing sales and marketing team. This role is ideal for individuals who enjoy working with people, are eager to develop new skills, and are looking for an environment that encourages personal and professional growth.

As part of our team, you will be involved in executing marketing campaigns, representing clients, and engaging with customers to build brand awareness and drive results. Comprehensive training and mentorship will be provided to support your development in communication, sales strategy, and leadership skills.

Key Responsibilities

• Represent clients and support the execution of marketing campaigns
• Communicate with customers and build strong relationships
• Understand client products and present them effectively
• Work closely with the team to achieve sales and campaign targets
• Participate in training sessions focused on sales, communication, and leadership development

What We Look For

• Positive attitude and willingness to learn
• Strong communication and interpersonal skills
• Self-motivated and proactive mindset
• Ability to work well in a team environment

What We Offer

• Structured training and mentorship
• A supportive and dynamic team environment
• Opportunities for career progression and leadership development
• Exposure to real-world sales and marketing strategies

Candidates with no prior experience are welcome to apply. Shortlisted candidates will be contacted within 24 hours.

Responsibilities

• Design and implement machine processes to improve machine efficiency, reliability, and product quality.
• Conduct process corner studies to optimize key parameters and ensure machines operate within definedspecifications.
• Analyze machine performance data to identify trends, improve accuracy, and resolve process-related issues.
• Develop and validate process control strategies to maintain consistent equipment performance and meet customer specifications.
• Lead equipment qualification activities (FAT / SAT).
• Define and document machine technical requirements, including detailed specifications, SOPs, and risk assessments (PFMEA).
• Perform root cause analysis on equipment and process issues, implementing corrective and preventive actions using methodologies such as 8D and DMAIC.
• Collaborate with design engineering teams to ensure manufacturability and maintainability of new equipment.
• Support new product development by scaling prototypes for production readiness.
• Train manufacturing and customer service personnel on process standards, troubleshooting, and best practices.
• Evaluate new customer materials and components for compatibility with existing equipment and processes.
• Provide technical support for customer escalations, including in-house and on-site troubleshooting.
• Ensure machine compliance with regulatory requirements such as JDEC/EIA standards throughout productdevelopment and implementation.
• Apply statistical process control (SPC) and Six Sigma methodologies to reduce variation and improve machine process capability.
• Drive continuous improvement projects to enhance equipment performance and reduce operational costs.

Qualifications

• Bachelor’s degree in engineering or related discipline.
• Over 3 years of experience in process or application engineering within semiconductor equipment manufacturing/OEM environment.
• Strong data analysis skills and using tools such as MS Excel, JMP, or Minitab and methodologies (SPC, Six Sigma, Lean) is required.
• Strong understanding of semiconductor equipment design, process integration, and manufacturing principles.
• Excellent problem-solving skills and ability to work cross-functionally with engineering, manufacturing, andcustomer teams.
• Programming experience with MS Excel macros or Python is a plus.
• Six Sigma Green Belt certification or higher is highly desirable.
• Willingness to work onsite in customer environments approximately 20% of the time.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and innovators with expertise in bioinformatics and A.I. Its mission is to act as a trusted research node that unlocks the value of digital health data to support cutting edge science and digital health solutions that will benefit Singapore and Singaporeans. BDH is a national initiative created by Singapore's Bioinformatics Institute and hosted by the Agency for Science Technology and Research (A*STAR) in partnership with Ministry of Health (MOH) Singapore and is funded by Singapore's National Research Foundation (NRF). 

Description:

As Senior Manager / Assistant Director - Partnerships and Product, you are responsible for shaping BDH's product and services offerings. Your ability to deeply understand user needs, both stated an unstated, and translate those into technical requirements are critical to your success. You also possess excellent judgement when it comes to prioritizing the product and services development pipeline. 

You are a systems thinker and excellent communicator who can strike a balance between speed and compliance. Your work will bring together users, developers, and operations teams.

Responsibilities:

• Maintain an up-to-date pipeline of data cohorts that could be supported by BDH by surveying local and overseas scientific and innovation activities
• Maintain and drive BDH product and development roadmap
• Map user journeys and workflows for entire data lifecycle and define standard processes for data on-boarding, management, analysis and off-boarding
• Create specifications for development and services teams to implement
• Create and maintain controlled forms and document templates
• Create and maintain standard toolset for BDH analytical environment

Requirements:

• Degree in Science, Biomedical Engineering, Business Administration or related field
• Strong people skills
• Detailed and process oriented
• Excellent written and spoken communication skills
• Basic financial and accounting literacy, including the ability to conduct benefit/cost analysis
• MS Office proficiency (esp. MS Excel and PowerPoint)
• Previous product management and/or services management experience a plus
• Working knowledge of data science / analytics software (e.g. R, Python) and related libraries 
• Previous experience in bioinformatics and/or data science strongly desired

Key Responsibilities:

• Design, build, and maintain scalable, reliable data pipelines to support AI/ML models and analytics in global supply chain and planning operations.

• Collaborate with data scientists and AI engineers to prepare and transform structured and unstructured data for modeling and simulation.

• Develop and optimize ETL/ELT processes using tools like Databricks, Spark.

• Ensure data quality, versioning, and lineage across the ML lifecycle.

• Support the deployment and monitoring of AI models in production environments.

• Translate business requirements into technical solutions, working closely with cross-functional teams.

• Contribute to the development of data services and APIs that power intelligent decision-making tools.

Functional Knowledge

• Masters Degree in Data Science, Computing, AI/ Analytics

• 7-10 years of expertise in SQL, Python, and distributed data processing (e.g., Spark, PySpark).

• Experience with cloud-based data platforms (Azure).

• Experience with LLM and Agentic AI

• Familiarity with MLOps tools and practices (e.g., MLflow) is a strong advantage.

• Experience working with AI/ML frameworks (e.g., TensorFlow, PyTorch) or supporting model training and deployment is a strong advantage.

• Understands the role of data in driving supply chain and planning decisions.

• Able to align data engineering solutions with business KPIs and operational goals.

• May lead technical workstreams or mentor other engineers.

• Takes ownership of data infrastructure components and contributes to architectural planning.

• Solves complex data challenges with creativity and precision.

• Proactively identifies and resolves data quality, performance, and scalability issues.

• Enables the success of AI/ML initiatives by ensuring robust, scalable, and high-quality data infrastructure.

• Supports real-time and predictive decision-making across global operations

• Communicates effectively with data scientists, AI engineers, and business stakeholders.

• Comfortable working in a fast-paced, collaborative environment with evolving priorities.

Overview

• Analyze the current data landscape, client capabilities, and business requirements to design scalable, high‑performance, and highly available data solutions.
• Lead cross‑functional teams in designing and developing data solution configurations aligned with the proposed architecture.
• Recommend best‑fit approaches to address development, integration, and performance challenges in data warehouse and business intelligence environments.
• Define strategic direction and create implementation roadmaps for enterprise data initiatives.
• Serve as the primary point of contact for architecture, design, and development‑related queries.
• Apply deep expertise in both modern and traditional data technologies to guide architectural decisions.
• Identify, evaluate, and adopt emerging technologies and methodologies to improve performance, automation, and scalability.
• Support business development by shaping solution architectures for proposals and participating in client meetings with the sales team.

Experience and Qualifications

• 15+ years of experience in data engagements, leading data strategy, roadmaps, and end‑to‑end implementation programs.
• Expertise in enterprise data strategy, alignment with business objectives, transformation initiatives, and warehouse architecture models.
• Strong understanding of information flow, integration and interfacing approaches, business information models, logical and canonical data models, and data lifecycle management.
• Experience with analytical, regulatory, and compliance reporting models.
• Mandatory banking industry experience with strong domain expertise.
• Extensive experience in data migration strategy, planning, costing, execution, retention, archival, and disposal.
• Master Data Management (MDM) across multi‑domain environments using tools such as Informatica MDM, Stibo PIM, and Talend Data Fabric.
• Data governance capability assessment (as‑is/to‑be), framework design, model development, roadmap creation, and execution.
• Proficiency with architecture tools such as PowerDesigner, ArchiMate, Toad, and ERWin.
• Strong foundation in normalized/denormalized design, ER modeling, star schema design, hierarchical models, and Inmon and Kimball methodologies.
• Hands‑on experience with platforms including Postgres, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, and Snowflake.

Additional Skills

• Programming and scripting: MS SQL, PL/SQL, NoSQL, Shell scripting, VBA, T‑SQL, DAX.
• Reporting and UI tools: MS SSRS, Oracle Forms (6i, 9i, 10g), Intellimatch, MS Access.
• RDBMS experience: Oracle 9i/10g, MS SQL Server 2008–2014, Oracle 9i AS/10g.
• Web and cloud technologies: Sitecore, AWS, WordPress, Google Analytics/GTM.
• Management tools: MS Project, MS Office Suite, JIRA, rLean.
• Frameworks and certifications: TOGAF, DAMA‑DMBOK.

We are seeking a Data Architect to own the end-to-end data architecture for operational and analytics data within data centre environments. This role spans industrial data ingestion, data modeling, analytics enablement, and embedded data governance, ensuring OT data (e.g., OPC UA, BMS, PQMS) is transformed from raw telemetry into trusted, business-ready insights.

This is a hands-on architecture role responsible for defining standards, building critical components of the data platform, and ensuring operational reliability. The role serves as the technical lead for OT data ingestion, analytics architecture, and embedded data governance.

Make an impact by 

1. OT Data Engineering & Platform Architecture

• Design, build, and operate OPC UA-based data ingestion pipelines from BMS, PQMS, PLCs, and sensors.
• Implement edge and on-premises data pipelines suitable for data centre environments.
• Manage raw and curated data layers, ensuring reliability, consistency, and performance.
• Address time-series data challenges, including sampling rates, timestamps, aggregation strategies, and late-arriving data.
• Monitor, troubleshoot, and optimise production pipelines.

2. End-to-End Architecture Ownership

• Own and evolve the end-to-end data architecture from OT source systems to analytics consumption.
• Define and standardise:
• OPC UA connectivity and subscription patterns
• Streaming versus batch ingestion strategies
• Buffering, retry, and fault-tolerance mechanisms
• Establish architectural standards for:
• Time-series schemas
• Asset and tag hierarchies
• Naming conventions and metadata structures
• Define and uphold non-functional requirements across the platform, including:
• Availability and resilience
• Latency and performance
• Scalability
• Security at the OT/IT boundary
• Provide technical leadership and guidance on data architecture and design decisions.

3. Analytics Architecture & Enablement

• Transform curated OT data into analytics-ready fact and dimension models.
• Design and maintain data marts and datasets for dashboards and reporting.
• Define and govern the analytics and semantic layer to enable consistent KPI usage.
• Establish standards for metric calculation logic, grain definition, time windows, and aggregation rules.
• Ensure a single source of truth for business metrics and minimise duplication.
• Enable self-service analytics through well-documented and trusted datasets.

4. Data Governance, Quality & Lineage

• Embed data governance into pipelines and analytics models, including:
• Clear data ownership and domain attribution
• Technical metadata capture (tags, units, frequency, source)
• Define and enforce data quality rules (completeness, validity, timeliness).
• Ensure end-to-end lineage and traceability from OT source systems to business KPIs.
• Apply access controls and data security policies aligned with OT and enterprise standards.
• Maintain documentation to support auditability and transparency.
• Collaborate with stakeholders to ensure data is fit for purpose.

5. Collaboration & Continuous Improvement

• Partner with data analysts and stakeholders to translate business requirements into scalable analytics solutions.
• Validate analytics outputs against business intent and operational context.
• Act as a technical advisor on data usage, constraints, and interpretation.
• Drive continuous improvement of the data platform and analytics ecosystem.

Required Skills & Experience

• Extensive experience in data architecture, data engineering, analytics engineering, or industrial data platforms (typically gained over multiple years of progressive responsibility).
• Strong hands-on experience with OPC UA (clients, servers, security, certificates, subscriptions).
• Experience with BMS, PQMS, SCADA, or industrial telemetry systems.
• Strong programming skills in Python and proficiency in SQL.
• Experience with streaming and messaging technologies (e.g., Kafka, MQTT, or equivalent).
• Solid understanding of time-series data modeling.
• Experience working in on-premises or data centre environments.
• Hands-on experience with data quality management, lineage and metadata management, and metric governance or semantic modeling.
• Ability to balance architecture, delivery, and operational responsibilities.

Nice to Have

• Experience with hybrid cloud and on-premises data architectures.
• Experience in energy, facilities, or data centre operations.
• Exposure to analytics or machine learning use cases on operational data.
• Experience defining enterprise KPIs or analytics standards.

Key Responsibilities:

• Design, build, and maintain scalable, reliable data pipelines to support AI/ML models and analytics in global supply chain and planning operations.

• Collaborate with data scientists and AI engineers to prepare and transform structured and unstructured data for modeling and simulation.

• Develop and optimize ETL/ELT processes using tools like Databricks, Spark.

• Ensure data quality, versioning, and lineage across the ML lifecycle.

• Support the deployment and monitoring of AI models in production environments.

• Translate business requirements into technical solutions, working closely with cross-functional teams.

• Contribute to the development of data services and APIs that power intelligent decision-making tools.

Functional Knowledge

• Masters Degree in Data Science, Computing, AI/ Analytics

• 7-10 years of expertise in SQL, Python, and distributed data processing (e.g., Spark, PySpark).

• Experience with cloud-based data platforms (Azure).

• Experience with LLM and Agentic AI

• Familiarity with MLOps tools and practices (e.g., MLflow) is a strong advantage.

• Experience working with AI/ML frameworks (e.g., TensorFlow, PyTorch) or supporting model training and deployment is a strong advantage.

• Understands the role of data in driving supply chain and planning decisions.

• Able to align data engineering solutions with business KPIs and operational goals.

• May lead technical workstreams or mentor other engineers.

• Takes ownership of data infrastructure components and contributes to architectural planning.

• Solves complex data challenges with creativity and precision.

• Proactively identifies and resolves data quality, performance, and scalability issues.

• Enables the success of AI/ML initiatives by ensuring robust, scalable, and high-quality data infrastructure.

• Supports real-time and predictive decision-making across global operations

• Communicates effectively with data scientists, AI engineers, and business stakeholders.

• Comfortable working in a fast-paced, collaborative environment with evolving priorities.

We are seeking a dynamic and strategic Data Engineer to design, build, and scale enterprise-grade data platforms and pipelines for the product.

You will play a key role in shaping the product’s data strategy, ensuring high standards in data architecture, performance, scalability, and governance. Beyond core data engineering, you will drive innovation in AI-enabled capabilities, leveraging data as a foundation to unlock insights, improve decision-making, and enhance user outcomes across the public service.

This role requires strong technical expertise, analytical thinking, and stakeholder engagement skills to collaborate across product, engineering, policy, and business teams to deliver impactful, data-driven solutions.

Decision-making

· When making important decisions, we identify overarching goals, weigh up our options, identify impact, and clearly communicate and manage the risks and trade-offs of our decision.

Ownership

· In addition to technical responsibilities, this means having opinions on what is being done and having ideas on what should be done next. Building something that you believe in is the best way to build something good.

Continuous Learning

· Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential.

Our Team

Our team is made up of passionate individuals committed to solving challenges and driving meaningful change. We embrace diversity of thought, encourage experimentation, and foster a culture of continuous learning. As part of this team, you will collaborate with Business Owner, Product Director, Product Managers, UX Designers, Engineers and Business Users.

Data Strategy, Engineering & Product Delivery

· Engage stakeholders to understand business challenges, refine use cases, and identify opportunities to harness data for product and policy decisions.

· Design, build, and maintain scalable data pipelines, data platforms, and reusable datasets to support analytics and product use cases.

· Develop data models and architectures to support complex business processes and reporting needs.

· Implement ETL/ELT processes to ingest, transform, and serve structured and unstructured data.

· Design and deliver analytics workflows, dashboards, and data products to enable insights and decision-making.

· Work iteratively with product teams to validate insights, refine analyses, and deliver measurable outcomes.

AI, Machine Learning & Advanced Analytics

· Develop and apply machine learning and Large Language Model (LLM)-based solutions, including prompt engineering and AI-enabled applications where relevant.

· Operationalise models through MLOps practices, including deployment, monitoring, and lifecycle management.

· Stay abreast of emerging trends in AI, data architectures, and optimisation techniques, and apply them to enhance product capabilities.

· Ensure responsible AI practices, including considerations for safety, fairness, and robustness.

Data Platforms, Integration & DataOps

· Design and implement moderately complex data systems and platforms, including supporting infrastructure and integrations.

· Apply advanced data integration techniques (e.g. streaming, Change Data Capture, message queues) to enable real-time and batch processing.

· Champion DataOps practices such as automated pipeline deployments, monitoring, and data observability.

· Ensure data quality, reliability, and integrity across systems and pipelines.

· Proactively manage and reduce technical debt to ensure long-term system stability.

Governance, Risk & Compliance

· Navigate data privacy, governance, and regulatory requirements, ensuring compliance with policies and standards.

· Identify risks in data systems and proactively address potential failure points.

· Align system design with security, performance, and compliance best practices across GovTech platforms.

Leadership, Collaboration & Delivery

· Own and deliver complex data engineering assignments across the full data lifecycle with minimal supervision.

· Break down complex problems into actionable tasks and coordinate delivery across teams.

· Drive high-quality, scalable delivery through engineering excellence and best practices.

· Mentor junior engineers and guide peers through code reviews, architecture discussions, and technical problem-solving.

· Collaborate effectively with Product Managers, Engineers, Designers, and Business stakeholders to deliver integrated solutions.

Strategic Alignment & Organisational Impact

· Contribute to team strategy, balancing short-term delivery with long-term platform sustainability.

· Evaluate new technologies and communicate trade-offs to technical and non-technical stakeholders.

· Participate in cross-team initiatives and align solutions with broader organisational goals.

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, Azure Synapse/Microsoft Fabric, Snowflake, 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).

Core Competencies

· Strong analytical and problem-solving skills, with the ability to translate business problems into data solutions.

· Ability to design scalable, reliable, and maintainable data systems.

· Effective communication and stakeholder management skills.

· Self-driven, adaptable, and able to operate in ambiguity.

· Strong sense of ownership and commitment to delivery excellence.

· Passion for leveraging data and technology to deliver public good.

· Minimum of a Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI, or related disciplines;

·        Must have a minimum of 1-2 years of IT experience or Fresh graduates are welcomed

·        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)

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Scientist

You will work in Singapore Government Agencies.

This is a fixed term contract. The engagement is 1 year, renewable.

Internal Code: A26126

This is a fixed term contract role. The engagement is 1 year, with option to extend to another 1 year

What will you do?

As a Data Scientist, you will use data science and Generative AI techniques to develop models and products that support a range of 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.

• 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

What are we looking for?

• 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)
• 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 system

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Company Overview

SANDBOX CONSULTING PTE. LTD.

Job Summary

You will develop and optimize analytics-ready datasets and data pipelines using Databricks and Delta Live Tables. Collaborate with cross-functional teams to enable self-service BI access and deliver actionable insights through robust data governance and validation.

Responsibilities

• Build analytics-ready datasets using Medallion Architecture (Bronze, Silver, Gold) in Databricks to support data-driven decision-making
• Design and optimize Delta Live Tables (DLT) pipelines for efficient and reliable data processing
• Enable self-service data access by integrating BI tools such as Looker, Omni.co, Power BI, and Tableau
• Implement robust data validation and monitoring processes to ensure data accuracy and reliability
• Maintain data governance by enforcing naming conventions and comprehensive documentation standards
• Collaborate with Finance, Product, and Operations teams to analyze data and drive actionable business insights
• Apply strong SQL and data modeling skills, including star schema and dimensional modeling, to structure data effectively
• Utilize Git and modern data stack practices to manage code and workflows efficiently

Required competencies and certifications

• Strong SQL and data modeling expertise (star schema, dimensional modeling)
• Hands-on experience with Databricks and Delta Live Tables (DLT)
• Familiarity with ETL/ELT tools such as dbt, Fivetran, and Airflow
• Experience with BI tools including Looker, Power BI, Tableau, or Omni.co
• Proficient communication and teamwork skills to collaborate effectively across teams
• Proficiency with Git and modern data stack practices

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Management and Analytics:
• Collect, clean and transform data from multiple internal and external sources, including APIs, space and booking management systems and smart meters.
• Build interactive and user-friendly dashboards, reports and data models to support business decision-making.
• Gather business requirements from different functional teams and translate them into suitable data requirements.
• Ensure data quality, consistency and governance across the organization.
• Conduct thorough data analysis to identify trends, patterns, and performance metrics that influence business decisions.
• Generate actionable insights through advanced analytics performed on diverse data gathered from large longitudinal cohorts, continuous sensors, and combined datasets.
• Develop compelling data-driven narratives for impactful storytelling to both internal and external stakeholders.
• Maintain library of OCIS data, reviewing sources of data, and recommend improvements to data sources and collection.
• Ensure data integrity and establish standardized reporting processes.
• Integrate OCIS data with broader university analytics to inform decision-making.
• Dashboard Optimisation:
• Conduct usability audit on existing dashboards.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Optimize layout for clarity and user experience.
• Develop predictive models to forecast resource needs eg based on faculty expansion, student enrolment, and operational changes.
• Champion Experimentation:
• Design, implement, and analyse A/B tests and multivariate experiments to drive continuous improvement.
• Stay updated with the latest management technologies and automation tools.
• Propose, implement, and optimize technological solutions to enhance data analysis, reporting capabilities, and overall transportation efficiency.
• Stakeholder Engagement & Collaboration:
• Develop clear documentation of metric definitions and logic to ensure alignment across teams. Eg user Manuals and guidelines for stakeholders.
• Engage regularly with cross-functional stakeholders to understand their workflows, pain points, and evolving data needs.
• Translate business questions into actionable metrics and analytical solutions to support procurement and FMS operations.
• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Provide user training and develop user guide and documentation.
• Automate manual processes and create efficient digital workflows.
• Support Environmental Sustainability in the Workplace:
• Collaborate with other teams on Sustainability related data and functions.
• Ensure alignment and accuracy of OCIS-provided data for organization-wide Sustainability reports.
• Participate in relevant meetings to understand stakeholder needs.
• Develop visuals that support communication and decision-making during Sustainability related meetings and reviews.
• Other duties as assigned.

• Bachelor's degree or higher in Computer Science, Information Systems, Engineering, Business Analytics, Statistics or any related quantitative discipline/field.
• Other disciplines can be supplemented with additional qualifications and prior experience in Data Science / Data Analytics.
• 3 to 5 years of experience in Data Analytics, Business Intelligence, Data Engineering or relevant quantitative experience in the Real Estate / Facilities industry.
• Proficiency in data cleaning, analytics & visualisation tools (Power BI, Tableau, SQL).
• Good understanding of AI-driven scheduling and IoT-based tracking for real-time space monitoring.
• Strong proficiency in Excel and hands-on experience with querying and manipulating large, complex datasets with tools e.g. SQL, Python.
• Strong proficiency in statistical analysis and data mining techniques.
• Strong proficiency in Python (or R) for advanced statistical analysis, data modelling, and automation (e.g., pandas, numpy, scikit-learn).
• Proficiency with data visualization tools (e.g., Tableau, Looker, Power BI) to build effective and clear dashboards.
• Experience using dataflowgen 2/ Microsoft fabric.
• Experience writing PowerBI DAX function.
• Experience designing interactive and user-friendly dashboards with UI principles.
• Familiar with machine learning techniques and predictive modelling.
• Strong analytical mindset and problem-solving abilities.
• Strong stakeholder management (technical and non-technical) and communication skills.
• Willingness to challenge the status-quo and motivate the team to foster the data-driven culture.
• Proven experience in data analysis, reporting, and solution development within the real estate / infrastructure / Utilities industry.
• Familiar with resource and booking management systems.
• Familiar with Al tools, chatbot development, or workflow automation is a plus.
• Good understanding of space planning and facilities management principles and techniques to optimize the use of resources while adhering to regulatory compliance.
• Strong writing and presentation capabilities.
• Experience in space management software (Planon, AutoCAD).
• Knowledge and experience in data governance, data security, and privacy practices.

#LI-JN2

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

• Position : HVAC Sales Engineer/Sales Manager (Chiller / Data Centre Cooling)
• Working hours : Monday to Friday | 8.30am to 5.30pm
• Location: Alexandra (few bus stops from Commonwealth MRT)
• Salary (commensurate with experience) : Basic + Transport allowance/reimbursement + AWS + Variable Bonus + Medical Benefits
• -Sales Engineer : Up to $5500
• -Sales Manager : Up to $8000

• Duration : Permanent

• Industry : Electrical equipment
   
  

Main Responsibilities:

• Identify and develop new business opportunities across commercial, industrial, and residential sectors
• Execute sales strategies to achieve revenue targets and expand market share
• Prepare and deliver technical presentations and customized proposals
• Provide technical consultation and recommend suitable chiller solutions
• Collaborate with engineering teams to deliver tailored system solutions
• Manage full sales cycle from lead generation to deal closure
• Handle contract preparation and negotiation in line with company policies
• Build and maintain strong relationships with clients and stakeholders
• Monitor market trends and competitor activities to identify opportunities
• Prepare sales forecasts, reports, and updates for management
• Support marketing initiatives, including events and sales materials

Requirements:
 

• Degree in Mechanical, Electrical, or Energy Engineering, or relevant qualifications/experience in HVAC or technical sales
• At least 3 years of relevant experience in HVAC / chiller systems sales or related field
• Candidates with experience in chiller service engineering or related technical roles are encouraged to apply
• Strong commercial acumen with excellent negotiation and presentation skills
• Ability to translate technical concepts into customer-centric solutions
• Proven ability to manage complex, solution-based sales cycles

Email me at joie@searchpersonnel.com.sg

 ***We do not charge our candidates nor bind them with any contract.***

 Joie Chang

 Deputy Consulting Director

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.
 

• Contract role with leading bank in Singapore with 2 headcounts ending 31st Dec 2026
• This role will sit in Account Control Monitoring team.

Responsibilities:

• Execute remediation plans to cleanse and standardize client data in accordance with the bank’s requirements
• Ensure prioritized data quality issues raised are promptly identified and remediated
• Work with cross-functional teams to identify and implement more efficient solutions for data quality issues, including automation of manual tasks
• Investigate appropriate corrective actions by reviewing source documentation where required
• Perform the corrective actions and where deemed required, recommend process or systems change or preventive controls to avoid recurrence
• Provide weekly reports on the data remediation progress for efficient tracking
• Ensure appropriate and confidential handling/sharing of sensitive client data in compliance with the bank’s policies and procedures
• Identify red flags related to data quality or compliance and escalate in accordance with policy and procedures
• Ensure timely follow-up and/or escalation to relevant stakeholders as required
• Complete delegated and ad-hoc tasks within the established timeframes to support the overall data remediation objectives

Qualifications:

• Bachelor's degree or at minimum diploma holder
• Meticulous and detail oriented
• At least 2 years of experience relating to banking operations, preferably in Client Onboarding & Maintenance functions, client documentation and static data maintenance
• Able to conduct and apply quality testing approaches in day-to-day activities
• Good written and verbal communication skills
• Able to thrive in a team, is highly approachable and open minded
• Able to be proactive in establishing processes and adopting best practices
• Is methodological with an eye for details and possess the ability to work independently
• Proficient in MS Office, particularly Excel, PowerPoint

Next Steps

• Drop your resume and contact us to follow-up, or send your resume to amos.tan@adecco.com
• Only shortlisted candidates will be contacted

Amos Tan Jun Han

EA Licence Number: 91C2918

Personnel Registration Number: R23113385

Job Description:

• Responsible to perform billing activities in the system in an accurate manner.
• Ensure all billing activities are well coordinated to meet customers’ requirement.
• Issue Invoices and Delivery Orders, coordinate with warehouse and follow up on delivery.
• Generate and send out invoices to customers on time.
• Update sales database into the system.
• General administrative duties.
• Any other ad hoc tasks as assigned.

Job Requirements:

• 1 to 2 years of relevant working experience.
• Good communication skills and a positive working attitude.
• Able to multi-task, meticulous and a good team player.
• Self-driven and able to work under pressure.
• Fast learner and able to work in fast pace environment.
• Able to start work immediately will be an added advantage.
• 5 day week.

We are looking for an ambitious Marketing Executive to help us increase our clients' Brand awareness and Customer base through the promotion of their products and services at our event sites in Singapore.

As a member of our Marketing team, you will have room to advance your career.

Our employees receive 1-on-1 coaching/mentorship, continuous training and assistance, travel opportunities, leadership opportunities to coach newcomers and fast tracked career progression/growth.

Responsibilities

• Participate and ensure the successful execution of our events marketing campaigns
• Promote our products or services to existing and potential customers
• Work with the rest of the Marketing team to develop promotion strategies and oversee their implementation

Requirements

• Background in Sales, Marketing, or similar roles is a plus
• Open minded and willingness to learn
• Good communication and presentation skills is a plus

Royal Organisation is looking for the most outstanding candidate to represent the clients we work partner with, providing fitting solutions to meet specific requirements and drive results.

We are looking for people who will "walk the talk". There is no such thing as a mundane routine here! Be prepared for an unparalleled environment!

What is in it for YOU:

• Overseas traveling exposure trips
• Positive vibes and enjoyable team atmosphere with frequent team-building activities
• Soft skills upgrade
• Leadership skills development

What your day to day looks like:

• Hype it up at roadshows & events
• Lead a squad that grows together
• Turn targets into wins as a team

What do we want from you?

• No experience? Fear not, 1-1 mentorship and guidance are provided!
• Keen learning attitude
• Hunger for personal development and progress