Total 777 Information Technology job vacancies

• Extracting, analysing, and presenting data to support the Commercial team in meetings with key partners, including suppliers, buyers, and airlines.
• Involve in commercial negotiations, providing insights to drive business growth and optimize partner relationships.

Data Analysis & Interpretation:


• Analyze numerical data to identify trends, performance metrics, pricing insights, revenue opportunities

Commercial Support:


• Prepare and present detailed reports, dashboards, and summaries to the Commercial team ahead of and during meetings with partners to aid negotiation, partnership growth, and contract renewals.

Partner Performance Monitoring:


• Track and evaluate supplier/buyer/airline performance against KPIs, SLA adherence, and market benchmarks, highlighting areas for improvement or expansion.

Collaboration:


• Work closely with cross-functional teams including Sales, Product, Finance, and Operations to ensure accuracy, consistency, and relevance of shared data.

Ad-hoc Analysis & Insights:


• Provide quick, ad-hoc data analysis to support urgent commercial decisions or address partner inquiries

Job Requirements

• Degree holder
• Mandarin speaking to communicate with Chinese stakeholders
• Experience working in the Travel sector
• Ability to translate complex data into clear, concise insights and presentations for non-technical stakeholders.
• Basic understanding of the travel industry, commercial partnerships, and airline/supplier dynamics is a plus
• Comfortable presenting data and business insights in client-facing scenarios.
• 5 days work (Mon - Fri, 9am to 6pm) at Tanjong Pagar
• Salary $5000 - $7000

Interested applicants please send in your resume. Shortlisted candidates will be contacted very soon. Thank you.

Job Description:

• Specializing in data migration and system integration.
• The role involves designing, developing, and optimizing data migration solutions, ensuring seamless integration between business systems and technology platforms.
• Work closely with stakeholders to translate business requirements into scalable technical solutions.

Key Responsibilities:

• Design, develop, and maintain data migration scripts and workflows to support system implementations and upgrades.
• Develop and optimize SQL-based solutions for data extraction, transformation, and loading (ETL).
• Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
• Perform data analysis, validation, and reconciliation to ensure data accuracy and integrity.
• Support system integration activities between SAP and other enterprise applications.
• Troubleshoot and debug issues related to data migration and system performance.
• Contribute to system design and propose improvements for data architecture and processing efficiency.
• Work closely with cross-functional teams to support deployment and implementation activities.
• Ensure documentation of technical designs, data mapping, and migration processes.

Requirements:

• Experience in data migration and data conversion projects.
• Strong proficiency in SQL scripting and data manipulation.
• Exposure to SAP debugging and data structures.
• Basic understanding of software development lifecycle (SDLC).
• Experience in system integration and data flow design.
• Strong analytical and problem-solving skills.
• Ability to engage stakeholders and translate business needs into technical solutions.
• Experience in healthcare systems is an added advantage.

Nice to Have:

• Experience with ETL tools or data integration platforms.
• Knowledge of data architecture and database design principles.
• Familiarity with cloud or enterprise systems.

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.

Key Responsibilities

• Gather and translate business requirements into data deliverables.

• Perform statistical and performance-related analysis with validation checks.

• Develop dashboards/reports in Power BI or Qlik.

• Support ETL processes and manage data in Snowflake.

• Provide ad-hoc data pulls for various business units.

Requirements

• 2–4 years’ experience in BA, data operations, or analytics (financial services/fintech preferred).

• Skilled in SQL (Snowflake), Excel, Power BI/Qlik.

• Strong stakeholder management and documentation skills (Jira, Confluence).

• Knowledge of AWS services would be advantageous.

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Job Duties

-Utilize SQL to extract, clean, and process large datasets from various databases, ensuring data accuracy for risk analysis and reporting.

-Support the development and iteration of credit risk models and anti-fraud rules using machine learning algorithms such as XGBoost, GBDT, and Logistic Regression.

-Analyze financial and transactional data to identify potential risk trends, abnormal fluctuations, and fraud patterns to support decision-making.

-Perform feature engineering and data exploration to identify key risk indicators that improve model predictive performance.

-Monitor the performance of risk models and automated rules in production, assisting in troubleshooting and system stability checks.

-Collaborate with cross-functional teams, including Data Engineers and Product Managers, to translate data findings into actionable risk strategies.

Requirements

-Bachelor’s Degree or higher in a quantitative field such as Statistics, Mathematics, Computer Science, or Financial Engineering.

-Solid proficiency in SQL is a must; comfortable with complex queries and data manipulation in environments like MySQL, Hive, or Oracle.

-Proficient in Python for data analysis, with experience using libraries such as Pandas, Scikit-learn, or Matplotlib.

-Basic understanding or academic exposure to predictive modeling, including credit scorecards, classification, or regression analysis.

-Strong logical thinking and numerical reasoning skills, with a keen eye for detail and data integrity. Familiarity with statistical tools or other programming languages (e.g., R, SAS) is an advantage.

-For Junior level: Open to fresh graduates or candidates with 1–2 years of relevant experience; academic or internship exposure to predictive modeling (e.g., credit scorecards or regression analysis) is preferred.

-For Mid-level: 3–5 years of professional experience in Fintech, Banking, or Risk Control with a proven track record of deploying models into production

Key Responsibilities

• Gather and translate business requirements into data deliverables.

• Perform statistical and performance-related analysis with validation checks.

• Develop dashboards/reports in Power BI or Qlik.

• Support ETL processes and manage data in Snowflake.

• Provide ad-hoc data pulls for various business units.

Requirements

• 2–4 years’ experience in BA, data operations, or analytics (financial services/fintech preferred).

• Skilled in SQL (Snowflake), Excel, Power BI/Qlik.

• Strong stakeholder management and documentation skills (Jira, Confluence).

• Knowledge of AWS services would be advantageous.

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Position: SAP Data Analyst / SAP Master Data Executive (1-Year Contract)

Job Description:

• Hands-on experience working with SAP

• Strong knowledge of SAP Master Data, including Material Master Data and Vendor Master Data

• Perform data analysis and validation to ensure data accuracy and integrity

• Proficient in Excel, including Power Query

• Ability to work independently with minimal supervision

• Apply critical thinking to interpret data and make sound recommendations based on analysis

Work Location: Tuas
Contract Duration: 1 year
Salary: up to 4k

Interested candidates, do submit your resume to: jocelynchan@recruitexpress.com.sg OR telegram @jocelynchan

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence number : 99C4599
Personnel EA License: R1331820

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 Engineer

You will work in Singapore Government Agencies

Internal Code: A26137

This is a fixed term contract role. The engagement is 2 years.

What will you do?

• Able to communicate well, strong conviction in the Government's mission and good user management skills
• Experienced in running major projects with strong management skills
• Can think of the big picture while being able to deep-dive into details if required
• Able to hands-on and go onsite e.g. project sites if required.
• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

What are we looking for?

• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data
• Designs enterprise geospatial data models, schemas, pipelines, and services; builds or configures web map services and front-end visualization components.
• Ensures data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets.

• Experience : 8 years
• (SQL Server / Oracle / DB2 / Netezza) – at-least good working knowledge in 2 of these DBApache Spark Streaming or Apache Flink
• Kafka
• NOSQL databases - Cosmos DB, Document DB
• Spark,Dataframe API
• Hive (HQL)
• Scripting language – Shell or bash
• CI CD
• Experience with at least one Cloud Infra provider (Azure/AWS)
  

Good to have Skills :

• Certifications related to Data and Analytics

Responsibilities:

• Perform data extraction, cleaning, generate regular and ad-hoc reports to support in-depth analysis of the branch's operating trends, profitability, and other key performance indicators.

• Collaborate with cross-functional teams and departments to gather data requirements and provide analytical support.

• Work closely with stakeholders to understand their data needs and provide tailored analytical solutions.

• Create and maintain dashboards to monitor key performance indicators (KPIs) and metrics.

• Automate reporting processes to improve efficiency and accuracy.

• Contribute to the development and improvement of data processes and reporting frameworks.

• Support decision-making by translating data findings into practical recommendations.

• Other related duties.

Requirements:

• A recognized University Degree, preferably in Data Science, Data Analytics, Business Analytics, Statistics or related field;

• Minimum 5 years of relevant experience in data analytics;

• Strong analytical skills and good knowledge of the banking industry;

• Strong organizational and management skills with the ability to work independently.

• Strong analytical and problem solving skill, proficient in SAS, SQL, Python, R Programming, MS Excel VBA and BI tools;

• Proficiency in Chinese would be an added advantage as incumbent is required to understand Chinese documents from Head Office.

Location: Punggol
Work Mode: Onsite

Requirements:

• Minimum bachelor’s degree or equivalent professional qualifications in Computer Science, Business Information Systems, Mathematics, Statistics, or similar quantitative discipline,
• 2-5  years of hand-on experience in MS SQL, Jira, Confluence, Qlik Sense, Power BI, eazyBI and relevant data/report-related plugins for these systems
• Excellent command of Excel, and preferably fluent in one or more data analysis languages / technologies / tools, such as Python, SQL, SAS, R, SCALA and similar.
• Basic knowledge in banking operations is required. Having experience as a data analyst or in a related role/field in banking/finance industry is highly desirable.
• Experience in gathering and documentation of business and technical requirements for data collection, analysis, maintenance, and reporting purposes.
• Proficient in designing, developing, modeling, and documenting data-driven solutions – including capturing / creating / utilizing data architectures, metadata systems, data dictionaries, databases, applications, pipelines, BI Tools, Big Data Platforms, analytical /query, and visualization tools.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
• Exceptional data visualization and communication skills to present findings and insights to senior management and key stakeholders, including non-technical business users.
• Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.
• Ability to work effectively in a team-fostered, multi-tasking environment, and a proactive team player who is curious about data and possesses a strong drive to create and lead initiatives.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards. 

Data Analysis and Research exposure with a Public Agency!

• Up to $5,500 per month
• 11-month contract
• Mon - Fri, office hours
• Central Location

What to expect:

• Support the development, implementation, and testing of a new data analytics system as part of a project team.
• Generate data-driven insights through Excel visualisations (e.g., charts, pivot tables, dashboards)
• and support testing of enhancements to data visualisation tools and pipelines.
• Collaborate with stakeholders including data custodians, data engineers, product managers, and contractors to deliver solutions aligned with organisational needs.
• Co-ordinate project operations such as vendor management, research material reviews, survey platform testing, and ensuring quality deliverables.
• Consolidate and standardise data from multiple sources while maintaining data integrity and consistency.

Requirements:

• Possesses minimum a Bachelor's Degree with 2 years of experience in quantitative market research project management, data profiling and review.
• Working knowledge of R and/or Python would be advantageous.
• Strong analytical skills, detail-oriented with high level of accuracy in data management.

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

Location: Singapore (Islandwide – deployment as close to your residence as possible)
Employment Type: Contract (24 / 36 months, renewable)

About the Role

We are hiring on behalf of a leading global technology company with multiple data centers across Singapore.

This role offers a hands-on opportunity to work in a mission-critical, high-availability environment, supporting large-scale IT infrastructure. Training will be provided, making it suitable for candidates looking to build a career in data center operations.

Key Responsibilities

• Perform installation, relocation, and decommissioning of IT equipment (servers, network, storage)
• Handle structured cabling, including patching and de-patching activities
• Provide hardware break-fix support (e.g. HDD, memory, SFP modules, motherboards)
• Troubleshoot IT and network-related issues and escalate when necessary
• Support routine inspections to ensure operational integrity of data center facilities
• Assist in maintenance activities and scheduled changes
• Manage inventory of spares, tools, and RMA processes
• Coordinate and supervise external vendors on-site
• Handle access control requests and support POP site operations
• Prepare task reports and support continuous improvement initiatives
• Participate in shift duties, standby support, and after-hours activities as required

Requirements

• Minimum 1 year of experience in data center operations, OR fresh graduates with relevant technical knowledge are welcome to apply
• Basic understanding of structured cabling and IT hardware
• Hands-on experience in hardware troubleshooting or break-fix support is an advantage
• Strong problem-solving skills and attention to detail
• Ability to work in a fast-paced, operational environment
• Willingness to work shifts and be on standby when required

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Your role

Our major Oil & Energy Client is looking for a Senior Data Engineer who will be accountable for designing, building, optimizing, and supporting scalable, reliable, and governed data solutions that enable operational excellence, analytics, and decision-making across LNG trading and operations. This a senior individual contributor with strong hands-on expertise across data engineering, data integration, and data platform delivery, combined with the ability to partner effectively with business and IT stakeholders in our Client's LNG business.

Data Engineering & Platform Delivery

• Design, build, and implement robust data pipelines, lakehouse patterns, and integration solutions capable of handling high volume, velocity, and variety of data
• Deliver optimized and performance-driven data solutions using cloud-native and modern data engineering practices
• Develop POCs, prototypes, and production-grade solutions, including complex SQL queries and large-scale data processing. Apply performance optimization techniques using PySpark, SQL, and distributed data processing frameworks.

Data Integration & Interface Management

• Design, build, and maintain data interfaces between Shell Energy LNG applications, enterprise platforms, legacy systems, and external partners
• Manage complex cloud-to-legacy and event-driven integration scenarios using scalable pipelines and streaming technologies
• Support day-to-day operational stability of data flows, including incident analysis, troubleshooting, and resolution in line with Shell support processes.

Data Lineage, Quality & Controls

• Define, document, and maintain end-to-end data lineage across upstream source systems and downstream consumers
• Implement data quality controls, validation rules, and exception handling aligned with Shell’s governance, risk, privacy, and security frameworks
• Contribute to enterprise data initiatives such as data catalogues, master data management, and metadata management.

Collaboration & Stakeholder Engagement

• Act as a data engineering subject-matter expert, working closely with business stakeholders, product owners, architects, and delivery teams
• Support backlog refinement, solution estimation, technical design, and release planning within Agile delivery frameworks
• Promote data engineering best practices, standards, and reusability across teams.

Operational Excellence & Continuous Improvement

• Drive improvements in reliability, observability, scalability, and performance of data pipelines
• Identify opportunities for simplification, standardization, and modernization within the data and integration landscape
• Contribute to functional excellence through the definition and maintenance of standards, methods, tooling, and patterns.

You are what we are looking for if you:

• Have 8–10+ years of relevant experience in Data Engineering and Data Integration roles
• Have proven experience delivering enterprise-grade data platforms and pipelines in cloud environments
• Are an expert in Azure, Azure Data Factory (ADF), data pipelines, Azure Data Lake Storage (ADLS), Databricks, PySpark, Python, and Kafka, with working knowledge of databases including Cosmos DB and MongoDB
• Are proficient in data modelling
• Have experience implementing performance optimization techniques using PySpark and SQL
• Have experience working with source control technologies (e.g., GitHub, Azure DevOps) and with build and release pipelines
• Have hands-on experience delivering digital solutions such as enterprise data platforms, and rolling out and setting up Master Data Management, Data Catalogue, and analytics solutions to support business decision-making
• Have experience working in Agile teams, applying best patterns and practices with an eye for quality and standards
• Have experience with Microsoft Power Platform, specifically Power Automate
• Are a Databricks Certified Associate / Professional Data Engineer (preferred)
• Have experience with LNG business stakeholders and data products (preferred)

NCCS Data and Computational Science (DCS) is a newly established computational hub within National Cancer Center of Singapore (NCCS) which focuses on leveraging data analytics and computational methods to advance cancer research and treatment. DCS features high-powered computing resources capable of processing ‘big data’ profiles and running advanced interpretable machine learning algorithms and robust statistical techniques. DCS offers in-house and centralised solutions for NCCS researchers who require computational analysis without the need to buy specialised equipment or contract with third party vendors. DCS aims to maximise the efficiency of data processes and accelerate research outcomes. With access to national level medical data spanning clinical, imaging and omics datasets, our efforts are concentrated on harvesting the innate value of these rich datasets to improve cancer patient care and treatment delivery through the production of world-class research.

The Data Scientist will provide support and insights for DCS core multi-omics research and big data analysis computing infrastructure that focus on using next-generation sequencing (NGS), radiological imaging and other multi-modal datatypes to develop biomarkers predictive of clinical responses in cancer patients. The Data Scientist will be expected to wrangle and manage large datasets, execute computational pipelines and interpret data to better understand the complexity of cancer progression and treatment resistance across multiple cancer types, as well as design new pipelines and/or optimise existing ones to meet evolving research needs.

Key Responsibilities:

- Drive and manage multiple projects: plan and perform sequencing data analyses, statistical analyses, and other relevant computational analyses and interpret the results in the context of assigned research projects/questions.

- Collaboration: Work closely with the Principal Investigator, clinicians, data scientists, researchers and stakeholders.

- Data pipeline management: Design, implement and maintain data processing pipelines for ingesting, transforming, and loading data from various sources.

- Security and Compliance: Define computing resources and data access controls, encryption, and authentication mechanisms. Ensure compliance with data privacy regulations (e.g., GDPR, PDPA, APAC Data Laws etc.) and organisation structures.

- IT Infrastructure Maintenance: Monitor system performance, identify and resolve bottlenecks or issues, ensuring minimal downtime. Apply software updates and patches. Backup data to prevent data loss. Source and liaise with vendors in procurement of the IT infrastructure to support the team's expansion needs as necessary.

Job Requirements:

- Master/PhD in Computational Biology or Computer Science or Mathematics or Biostatistics or Physics preferred.

- At least 3 years research experience in a Genomics-related field is mandatory.

- Knowledge and experience in omics analyses is mandatory (any of WGS, WES, RNAseq, single-cell sequencing or similar).

- Knowledge and experience in biostatistical analyses of clinical datasets preferred.

- Familiarity with data security and access control measures preferred.

- Ability to plan and execute data analysis and ad-hoc projects, both independently and in collaboration with external parties.

- Strong organisational, interpersonal and presentation skills.

- Familiarity with Linux or other Unix flavours, preferably as an administrator/superuser and server maintenance preferred.

- Familiarity with pipeline management systems (e.g. Nextflow), job schedulers (e.g. Slurm), container/virtualization systems (Docker, Singularity).

Role Summary

The Data Engineer will support the design, development, and operation of modern data systems and infrastructure for Data Programme. The role involves building scalable and secure data platforms, developing production-grade data pipelines, and enabling analytics, AI, and machine learning use cases across the ecosystem.

The candidate is expected to work closely with Product Managers, Data Scientists, engineers, and business stakeholders to deliver reusable, maintainable, and secure data solutions that support digital transformation objectives.

Key Responsibilities

1. Data Systems and Architecture

• Design, develop, and maintain end-to-end data systems and supporting architecture
• Build and integrate database systems, backend services, and infrastructure components to support business and analytical use cases
• Ensure solutions are designed with strong consideration for scalability, maintainability, reusability, and security
• Contribute to architecture and engineering decisions for data platforms and services

2. Data Engineering and Pipeline Development

• Develop and maintain production-grade ETL / ELT pipelines for ingestion, transformation, and delivery of data
• Build and administer databases and supporting data services for operational and analytical workloads
• Support reliable and efficient data workflows for reporting, analytics, data science, and machine learning applications
• Monitor, troubleshoot, and optimise data processing jobs, database operations, and pipeline performance

3. Cloud, DevOps and Infrastructure

• Develop infrastructure and services using modern cloud engineering practices
• Support backend, infrastructure, deployment, and operational components required for data systems
• Contribute to automation, CI/CD, monitoring, and operational readiness of data platforms
• Ensure secure and resilient deployment practices across environments

4. Cross-functional Delivery

• Work closely with Product Managers, Data Scientists, users, and other engineers to ensure solutions meet user and organisational needs
• Partner with policy and business divisions to support digital transformation initiatives through data and AI methods
• Translate requirements into implementable technical designs and engineering work items
• Participate actively in iterative product and platform delivery

5. Documentation and Support

• Document system designs, architecture decisions, data flows, and operational procedures
• Support knowledge transfer, maintainability, and operational support for delivered solutions
• Collaborate effectively across multidisciplinary teams and contribute to healthy engineering practices
• Support issue investigation, troubleshooting, and enhancement of production systems

Mandatory Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience
• Experience in data systems and architecture development, including databases, backend services, DevOps, and infrastructure engineering
• Experience developing and administering production-grade databases and data pipelines
• Strong understanding of scalable, secure, and maintainable engineering practices
• Strong communication and collaboration skills
• Interest in working on public good and supporting digital transformation in the education domain

• Experience with modern cloud-based data engineering environments
• Experience with backend development and system integration
• Experience with frontend development
• Exposure to data science and machine learning applications
• Familiarity with DevOps, CI/CD, infrastructure automation, and monitoring practices
• Experience working in agile, cross-functional product teams
• Experience in public sector, education, or mission-driven digital delivery environments

Seniority Expectations

Associate Consultant (1-3 Years)

• Supports design, development, and maintenance of data systems under guidance
• Contributes to data pipelines, database tasks, and operational support activities
• Demonstrates sound technical fundamentals and willingness to learn

Consultant (4-6 Years)

• Works independently on assigned engineering tasks and modules
• Designs and develops data pipelines, databases, and infrastructure components of moderate complexity
• Participates actively in technical discussions and cross-functional delivery

Senior Consultant (7 Years and above)

• Takes ownership of end-to-end system and architecture components
• Leads design and implementation of scalable, secure, and reusable data platforms
• Supports technical decision-making and mentors junior team members where needed
• Engages confidently with cross-functional stakeholders across product, business, and technical teams

Position: Data Analyst
Location: Singapore
Type of Employment: Full-Time
Compensation: -

Purpose of the Position: The Data Analyst will be responsible for transforming data into actionable insights to support business decision-making. This role focuses on data extraction, analysis, visualization, and reporting using modern data platforms such as Databricks, along with SQL and BI tools, to drive data-driven strategies across the organisation.

Key Result Areas and Activities:

• Extract, clean, and transform data from multiple sources using SQL and Databricks to support analytics and reporting needs.
• Develop and maintain scalable data models and datasets for business intelligence and dashboarding.
• Build interactive dashboards and reports using Tableau and/or Power BI to visualize key metrics, trends, and insights.
• Perform exploratory data analysis to identify patterns, anomalies, and opportunities for business improvement.
• Collaborate with business stakeholders to gather requirements and translate them into analytical solutions and reporting outputs.
• Support data validation, reconciliation, and quality checks to ensure accuracy and consistency of reporting data.
• Automate recurring reporting processes and improve efficiency of data workflows.
• Provide actionable insights and recommendations to support operational and strategic decision-making.
• Document data definitions, business rules, and reporting logic for governance and knowledge sharing.

Essential Skills:

• Strong proficiency in SQL for data querying, transformation, and analysis
• Experience working with Databricks or similar data platforms
• Hands-on experience with Tableau and/or Power BI for dashboard development
• Strong analytical and problem-solving skills
• Experience in data cleaning, validation, and data modelling
• Ability to work with large datasets and derive meaningful insights

Desirable Skills :

• Experience with Python (Pandas, PySpark) for data analysis
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of ETL/ELT processes and data pipeline concepts
• Experience working in government or regulated environments
• Understanding of data governance and data quality frameworks

Qualities:

• Strong attention to detail and data accuracy
• Good communication skills to translate data insights into business terms
• Proactive and solution-oriented mindset
• Ability to manage multiple stakeholders and priorities
• Collaborative team player with strong ownership of deliverables

Overview

Build the data pipelines, models, and dashboards that turn raw market and operational data into actionable insight.

Key Responsibilities

•    Design and implement secure, performant data pipelines to aggregate, cleanse, and transform data from internal and third-party sources.

•    Build and maintain analytics data models and data Mart supporting reporting, dashboards, and downstream consumers.

•    Develop interactive dashboards and visualisations that surface trends, investment patterns, and company-level insight.

•    Implement data quality controls, validation routines, and lineage tracking to meet regulatory-grade reliability standards.

•    Integrate with market data provider APIs for ingestion, reconciliation, and profile enrichment.

•    Optimise query performance and storage across relational, columnar, and analytical workloads.

•    Partner with business analysts and stakeholders to translate analytical questions into reusable datasets.

•    Document data contracts, ETL flows, and operational runbooks.

Key Requirements (Must-Have)

•    5+ years of hands-on data engineering /analytics development experience.

•    Strong SQL across at least one of PostgreSQL, SQL Server, Oracle, or Snowflake.

•    Proficiency in Python (pandas, PySpark, SQLAlchemy) for data transformation and automation.

•    Experience building ETL / ELT pipelines using Airflow, dbt, Informatica, or equivalent.

•    Proven delivery on Tableau, Power BI, or Qlik— including parameterised dashboards and row-level security.

•    Dimensional / star schema modelling experience and comfort with slowly changing dimensions.

•    Experience with REST API integration for data ingestion.

•    Version control (Git) and CI/CD for analytics code.

•    Able to work Singapore-based, on-site at client premises a minimum of three (3) days per week.

•    Eligible to undergo and pass security clearance /background screening for financial sector engagements.

Nice-to-Have

•    Familiarity with market data platforms (e.g.,PitchBook, Tracxn, Bloomberg, Refinitiv) and financial data schemas.

•    Experience with cloud data warehouses (BigQuery, Redshift, Synapse).

•    Exposure to streaming data (Kafka, Kinesis) and CDC tooling.

•    Working knowledge of machine learning pipelines or basic predictive analytics.

•    Tableau Desktop Specialist, Azure Data Engineer, or AWS Data Analytics certifications.

•    Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative discipline.

Job Overview

We are looking for a Senior Data Engineer with strong expertise in cloud platforms and AI-driven solutions. The ideal candidate will have hands-on experience in building scalable data platforms, leading AI initiatives, and managing end-to-end delivery in a cloud-native environment.

Key Responsibilities

• Design and implement scalable data engineering solutions using cloud-native architectures on Azure and AWS
• Lead end-to-end delivery of generative AI projects or AI-powered platforms
• Translate business requirements into robust technical solutions and manage delivery timelines
• Coordinate cross-functional teams including developers, cloud engineers, and data scientists
• Provide technical leadership, mentoring, and guidance to engineering teams
• Ensure adherence to cloud security best practices, including IAM and data privacy for AI workloads
• Troubleshoot complex issues related to AI model deployment and cloud infrastructure

Key Requirements

• Strong proficiency in cloud-native architectures and services on Azure and AWS
• Proven track record in delivering Generative AI / AI-powered platforms
• Experience in technical solutioning and delivery management
• Hands-on experience working with cross-functional teams
• Strong mentoring and leadership skills
• Knowledge of cloud security, IAM, and data privacy practices
• Ability to troubleshoot complex AI and infrastructure issues

Role and Responsibilities

Roles: NGEMR Data Conversion Lead for assigned data types.

Responsibilities:

1) Follow NGEMR Data Conversion Methodology to lead the execution of data conversion projects;

2) Assist the development of data conversion project plans;

3) Collaborate with project stakeholders and teams to drive the data conversion process;

4) Adhere to project timeline and deliverables planned;

5) Report project progress and status in a timely manner;

6) Support NGEMR go-lives, investigate and fix issues.
Requirements / Qualifications

1) Bachelor Degree in Engineering or Science;

2) Good communication skills;

3) Broad and in-depth healthcare domain knowledge;

4) System integration and interfacing via HL7/SFTP/DICOM experience;

5) Good database and SQL knowledge;

6) Able to understand and analyze complex workflow scenarios;

7) Able to manage and drive multiple projects concurrently;

8) Detailed, self-motivated, positive thinking, team player.

Job Description

Technical Responsibilities

• Lead the installation, maintenance, and repair of mechanical and electrical systems, including wiring, fixtures, and equipment
• Perform advanced troubleshooting and resolve complex M&E issues
• Conduct routine inspections and preventive maintenance on electrical systems and machinery
• Interpret blueprints, technical drawings, and manuals for accurate execution
• Supervise testing and commissioning of electrical and mechanical systems

Leadership & Supervision

• Mentor and guide junior technicians and electricians
• Assign tasks, monitor progress, and ensure quality of work
• Coordinate with supervisors and project managers to meet project timelines

Safety & Compliance

• Ensure all work complies with local electrical codes and safety regulations
• Enforce proper use of PPE and adherence to safety procedures
• Conduct toolbox meetings and proactively address safety concerns

Documentation & Coordination

• Maintain accurate records of maintenance, repairs, and site activities
• Collaborate with project teams to ensure timely completion of tasks
• Communicate effectively with stakeholders to resolve site issues

Requirements

• Qualifications: Diploma or higher certification in Electrical or Mechanical Engineering. Licensed Electrician certification will be an advantage
• Experience: Minimum 5 years of relevant experience in M&E works, preferably in construction projects
• Skills: Proficient in using electrical testing tools and equipment. Strong leadership and problem-solving abilities. Good communication and team management skills