Total 4,052 job vacancies in Singapore

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

Data Analytics Engineer (Contract)

Location: Singapore

Contract Type: 12-months Contract (Extendable & Convertible)

Keywords: Data Transformation, Data Architecture, Qlik Sense, Qlik Cloud, Snowflake, SQL, Python, Cloud (AWS/Azure), Data Governance, Analytics

Company / Role Overview

A well-established consumer retail organisation is looking to hire a Data Manager to support ongoing data transformation and analytics initiatives. This is a hands-on individual contributor role focused on building scalable data pipelines, managing cloud-based data platforms, and enabling business intelligence capabilities across the organisation. The role sits within the technology function and reports directly to the Head of Technology, working closely with business stakeholders to deliver reliable, high-quality data solutions. Exposure to AI-driven use cases is beneficial, particularly where data solutions have been embedded into operational workflows.

Key Responsibilities

• Design and implement end-to-end data pipelines, covering ingestion, transformation, modelling, and delivery
• Develop and maintain scalable cloud-based data architectures to support reporting, analytics, and evolving AI use cases
• Prepare structured, high-quality datasets to enable business intelligence and advanced analytics
• Act as the technical owner of enterprise data platforms, ensuring performance, stability, and continuous improvement
• Configure and manage data warehouse and analytics environments, including troubleshooting and optimisation
• Implement and maintain data governance standards, including data quality checks, validation rules, and documentation
• Support development of dashboards and reporting layers, improving accessibility and usability of data for business users
• Work closely with stakeholders to translate business needs into practical data solutions and promote self-service analytics

Job Requirements

Must-Have:

• 4–5 years of experience in data engineering, data analytics, or data platform roles
• Proven experience working on data transformation or data platform initiatives in an enterprise environment
• Hands-on experience with Qlik Sense and/or Qlik Cloud for analytics and reporting
• Strong proficiency in SQL and experience with data transformation tools
• Experience working with cloud-based data platforms (e.g. Snowflake or equivalent)
• Familiarity with cloud environments such as AWS and/or Azure
• Strong ownership mindset with the ability to work independently and manage multiple priorities

Nice-to-Have:

• Experience integrating AI or machine learning outputs into business workflows (not just exposure)
• Familiarity with Python or similar languages for data processing or analytics use cases
• Experience with additional BI tools such as Power BI or Tableau
• Exposure to data governance practices including lineage, quality, and compliance
• Background in retail or consumer-driven environments
• Demonstrated career stability (e.g. longer tenures in prior roles)

If this role aligns with your experience and career goals, please send your application to AviralBhargava@argyllscott.sg.

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Data Pipeline Development & Operations
• Design, build, and operate scalable and reliable data pipelines on the Databricks platform
• Develop end-to-end data workflows from ingestion through transformation to consumption
• Implement robust error handling, monitoring, and alerting mechanisms
• Ensure data pipeline reliability, performance, and maintainability
• Optimize pipeline performance through efficient Spark job design and cluster configuration
• Manage and orchestrate complex data workflows using Databricks Jobs and workflows

Legacy Code Modernization
• Refactor legacy code and data pipelines to PySpark for improved performance and scalability
• Migrate traditional ETL processes to modern ELT patterns on Databricks
• Assess existing codebases and identify opportunities for optimization and modernization
• Ensure backward compatibility and data integrity during migration processes
• Document refactoring approaches and create migration playbooks
• Collaborate with stakeholders to minimize disruption during code transitions

Data Engineering Excellence
• Implement data quality checks and validation frameworks
• Design and maintain Delta Lake tables with appropriate optimization strategies
• Develop reusable code libraries and frameworks for common data engineering tasks
• Follow software engineering best practices including version control, testing, and CI/CD
• Participate in code reviews and provide constructive feedback to team members
• Troubleshoot and resolve data pipeline issues in production environments

Collaboration & Knowledge Sharing
• Work closely with data architects, analysts, and business stakeholders
• Collaborate with Infrastructure (Infra), Applications (Apps), and Cyber teams
• Share knowledge and best practices with Team NCS
• Mentor junior data engineers on PySpark and Databricks technologies
• Document technical solutions and maintain comprehensive documentation

Essential Technical Skills
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or lakehouse architectures
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques
• Python: Strong Python programming skills for data processing and automation

Additional Technical Skills
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Understanding of data governance and security best practices
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Understanding of data quality frameworks and testing methodologies

Professional Experience
• Minimum 8 years in data engineering or related roles
• At least 2-3 years of hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments

Required Certifications – mandatory to have at least one
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional

Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications

Soft Skills
• Strong problem-solving and analytical thinking abilities
• Excellent communication skills to explain technical concepts clearly
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong attention to detail
• Adaptable to changing priorities and technologies
• Client-focused mindset with commitment to quality delivery

Focus: Engineering Analysis, Carbon Modelling & ESG Strategy

Role Purpose:

As a Sustainability Analyst, you will bridge the gap between engineering principles and environmental

strategy. This role is designed for an analytical professional who can take, raw data from industrial or

corporate environments and transform it into clear, actionable decarbonization roadmaps. You will use

your engineering logic to ensure that sustainability goals are not just ambitious, but technically

feasible.

Key Responsibilities

1. Advanced Data Analysis & Tool Building

 Excel Modeling: Build and manage complex, automated spreadsheets to calculate energy

intensity, and water usage.

 Automation: Utilize Advanced Excel (Power Query, Pivot Tables, and Arrays) to clean

large datasets from clients and create repeatable calculation templates.

 Quality Assurance: Audit client data for technical consistency, ensuring that engineering

units (kWh, tonnes, MJ) are converted and reported accurately.

2. Engineering-Led Sustainability Strategy

 Process Assessment: Review engineering diagrams (P&IDs), utility bills, and equipment

specs to identify energy-saving opportunities.

 Technical Feasibility: Assist in evaluating green technologies (e.g., HVAC upgrades,

electrification, or waste-to-energy systems) from both a carbon and cost perspective.

 Benchmark Modeling: Compare client performance against industry standards using first-

principles engineering calculations.

3. Reporting & ESG Frameworks

 Impact Visualization: Translate spreadsheet data into compelling charts and dashboards for

client presentations.

 Compliance Support: Draft technical sections of sustainability reports in alignment with

global frameworks like GHG Protocol, GRI, or CDP.

 Continuous Learning: Stay updated on emerging green technologies and carbon

regulations to provide & "ahead-of-the-curve" advice.

Requirements & Qualifications

 Experience: Minimum 2 years of professional experience in consulting, energy

management, or a technical engineering role.

 Education: Degree in Engineering (Mechanical, Chemical, Environmental, or Civil).

 Excel Skills: Advanced proficiency is non-negotiable. You should be comfortable handling

large datasets, building interactive models, and using complex formulas to solve problems.

 Analytical Mindset: A "detective" approach to data—finding the story within the numbers and

identifying errors in technical reports.

 Sustainability Flair: A demonstrated interest in the green transition, circular economy, or

renewable energy. You don't just "do the math"; you care about the impact.

Why This Role?

This role offers the opportunity to apply a "hard" engineering skill set to the "soft" world of corporate sustainability. You will be the technical backbone of the team, ensuring that every sustainability claim the client makes is backed by rigorous data and sound engineering logic.

Overview

We are partnering with a leading global technology company in the semiconductor industry to hire a Senior Data Scientist.

This role focuses on applying data science, machine learning, and optimization techniques to improve manufacturing efficiency, production yield, and operational performance in a highly complex, data-rich environment.

Key Responsibilities

• Analyze large-scale operational and manufacturing datasets to identify trends and improvement opportunities
• Develop and deploy machine learning models to enhance performance, quality, and efficiency
• Build and maintain data pipelines to integrate and process data from multiple sources
• Design and implement simulation models (e.g. digital twin environments) to optimize workflows, scheduling, and resource allocation
• Work with 3D simulation platforms (e.g. Omniverse or similar) to model and improve real world systems
• Collaborate with engineering, operations, and business stakeholders to translate requirements into scalable data solutions
• Communicate insights and recommendations to both technical and non-technical audiences

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field
• Strong programming skills in Python and experience with SQL
• Hands-on experience in machine learning, statistical modeling, and data analysis
• Exposure to optimization techniques (e.g. linear programming, operations research) or simulation is highly preferred 
• Experience working with large and complex datasets in a production environment 
• Strong problem-solving skills and ability to translate business problems into analytical solutions
• Good communication skills and experience working with cross-functional stakeholders

This entry-level role offers exposure to live events, client campaigns, and team-based marketing execution.

You’ll gain practical skills, performance-based rewards, and clear development pathways in a fast-paced environment.

Ideal for: Individuals starting their career and eager to grow through experience.

What We’re Looking For

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