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Accelerate Your Career in Business Development & Marketing

Join Royal Organisation – a rapidly growing firm representing leading brands and delivering measurable results across diverse markets.

Position Overview

We are seeking motivated and driven individuals to join our Business Development & Marketing team. In this role, you will represent well-established brands, engage with clients directly, and play a key part in executing impactful campaigns and initiatives.

Key Responsibilities

• Identify and engage new clients while managing their end-to-end journey
• Build and maintain strong relationships through direct, face-to-face engagement
• Support the planning and execution of marketing campaigns and events
• Provide leadership and guidance to team members to achieve collective goals

What We Offer

• Regional and international exposure through various projects
• Structured mentorship and clear career advancement pathways
• Recognition and rewards based on performance
• Opportunities for leadership and personal development

Ideal Candidate Profile

• Self-driven, professional, and goal-oriented
• Excellent interpersonal and communication skills
• Passionate about working with people and building meaningful connections

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

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

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

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.