261 Data Solutions jobs in Singapore

As a Data Engineer, you will design, develop and implement scalable data store solutions to support business needs. You will build and maintain data integration solutions using Talend Enterprise and other ETL tools.

You will collaborate with cross-functional teams to understand requirements and ensure data solutions meet their needs.

Job Title:

Data Solutions Architect

About the Role:

We are seeking an experienced Data Solutions Architect to join our team. As a key member of our data team, you will be responsible for designing and building secure mechanisms for end users and systems to access data in our data warehouse.

The ideal candidate will have a deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage. They will also have experience with cloud technologies such as AWS, Azure, and Google Cloud, as well as proficiency in working with Python, Shell Scripts, and SQL.

Key Responsibilities:

• Design and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Collaborate with partner agencies' IT teams on technology stack, infrastructure and security alignment.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

Requirements:

• A Bachelors Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience with Databricks.
• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred Requirements:

• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform.
• Experience with implementing technical processes to enforce data security, data quality, and data governance.
• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

Skills:

• System Design
• Python
• SQL
• Google Cloud
• Performance Tuning
• Orchestration

Site Name: Singapore - Rochester Park, China - Beijing, China - Shanghai - Shanghai, Japan - Tokyo - Akasaka

Posted Date: Sep 3 2025

Business Introduction

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, ensuring we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We unite science, technology, and talent to get ahead of disease together.

Team Introduction

Asia Development is a newly established function focused on enhancing patient outcomes in the region by delivering faster and more effectively. It aims to strengthen R&D in Asia by leveraging regional expertise and global capabilities to drive sustainable impact.

The Asia Development Innovative Data Solutions team consists of visionary thought leaders who harness the power of data and cutting-edge technologies such as AI/ML to solve business challenges and drive impact. From unlocking insights to streamlining processes and accelerating timelines, the team delivers solutions that go beyond execution. Working collaboratively with teams across GSK, they combine expertise to co-create innovative approaches that enable better outcomes for patients and communities in Asia and beyond.

Position Summary

This role will lead a dynamic team of 4-6 data experts across Asia. As a people manager, you will develop the skills of your direct reports on both technical and professional topics. Your highly motivated team will be responsible for delivering a portfolio of data solutions in partnership with other teams. The role will elevate the voice of Asia in R&D on data-related and innovation topics. Collaboration is key, as you will work with cross-functional teams centrally and regionally to ensure data solutions align with business needs. The initial focus will be on Japan and China.

We value candidates who are proactive, detail-oriented, visionary, and passionate about leveraging data solutions to make a meaningful impact.

Key Responsibilities:

• Manage a new team of 4-6 experts to design and deliver data solutions that improve decision-making and operational efficiency.
• Coach your team in their roles as Asia data solution business owners, Asia data experts for central solutions, and Citizen Technology Leads.
• Deliver a portfolio of Asia data solutions in partnership with other internal teams, including technology teams.
• Collaborate with internal teams to identify innovative opportunities.
• Ensure compliance with data governance and security standards.
• Identify opportunities to leverage advanced technology, including AI/ML, to enhance capabilities.
• Build and maintain strong relationships with stakeholders to understand business needs and deliver impactful data solutions.

Why You?

Basic Qualifications:

• Bachelor's degree in Life Sciences, Medical, Pharmacy, or a related field.
• Experience in the pharmaceutical or healthcare industry.
• Minimum 10 years of experience in data management or a related role.
• Strong understanding of data governance, security, and compliance in a regulated environment.
• Proven ability to manage complex projects and collaborate across teams.
• Strong written and verbal communication skills in a multicultural environment.
• Minimum 5 years of people management experience.
• Experience in Product Model and Agile mindset.

Preferred Qualifications:

• Master's degree in a relevant field.
• Knowledge of advanced techniques, including AI/ML.
• Hands-on experience with citizen technology tools (e.g., Power BI, PowerApps).
• Certification in Lean Six Sigma, change management, project management methodologies, or design thinking.

Work Arrangement:

This role is hybrid and requires on-site presence 2-3 days per week in Singapore, Shanghai, or Tokyo.

Join us in shaping the future of healthcare through data innovation. If you're ready to make a difference, apply today

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Apple is a place where extraordinary people gather to do their best work. Together we craft products and experiences people once couldn't have imagined - and now can't imagine living without. If you're excited by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job Apple is seeking a highly motivated and innovative MLOps engineer to join our worldwide sales team, Data Solutions & Initiatives (DSI). This is a unique opportunity to help the growth of one of Apple's global initiatives and contribute to launching ground-breaking new features in support of Apple's sales strategy. In this position, you will join a team of AI and ML engineers focused on automating machine learning pipelines, securing ML models and data infrastructures, and owning all aspects of our AI/ML operations to achieve high availability, scalability, and reliability of machine learning systems in production.

Description

We are looking for a world-class MLOps Engineer who is passionate about operational excellence through automation and machine learning engineering processes. As an MLOps Engineer, you will play a crucial role in ensuring the seamless integration of machine learning development and production operations, to deliver best in class and highly available ML systems. You will work with data science, data engineering, and AI/ML engineering teams to understand model deployment and infrastructure requirements, while promoting efficiency, scalability, security, and reliability throughout the machine learning lifecycle. Your expertise in cloud platforms, ML automation, model monitoring, and ML infrastructure management will be crucial to the success of our AI/ML projects. Your responsibilities will include: - Designing ML engineering platforms and tooling that simplify the process of building, training, deploying, and operating machine learning models at scale. - Developing automation for model training pipelines, deployment workflows, model monitoring, and ML operational tasks. - Monitoring ML model performance, data drift, model accuracy, and system availability, and remediating as necessary. - Collaborating with data science and ML engineering teams on finding operationally sustainable solutions to model deployment and lifecycle management challenges. - Provide guidance to the engineering organization on navigating ML governance, model security, and compliance requirements for AI/ML systems. - Mentoring other MLOps engineers around ML best practices, model deployment strategies, and MLOps design approaches.

Minimum Qualifications

• 3+ years in MLOps Engineering or ML Platform Engineering roles
• 2+ years in Data Engineering, Software Engineering, or Data Science roles
• Proficiency with containerization and orchestration technologies such as Docker, Kubernetes, or ML-specific platforms like Kubeflow.
• Proficiency with programming and scripting languages such as Python, R, SQL, or Bash, with strong Python expertise for ML workflows.
• Experience with infrastructure-as-code and ML pipeline tools (e.g. Terraform, MLflow, Airflow, Prefect).
• Proficiency in CI/CD for ML pipelines using Jenkins, or ML-specific platforms like Kubeflow Pipelines.
• Proficiency with ML monitoring and observability technologies such as MLflow, Prometheus, Grafana, or model drift detection tools.
• Proficiency with designing and operating ML workloads in a public cloud environment (AWS SageMaker, GCP Vertex AI, etc.).
• Experience integrating ML governance, model security, and compliance practices into all stages of the ML lifecycle.
• Continuously work with data science and ML engineering teams to improve model reliability, implementing actionable ML monitoring frameworks and participate in ML system on-call.
• Analytical & problem solving skills with understanding of ML concepts, ability to communicate technical ML concepts clearly.
• Excellent communication and collaboration abilities, with experience bridging data science and engineering teams.

Preferred Qualifications

• Bachelor's Degree in Computer Science, Data Science, Machine Learning, or equivalent in Engineering
• 4+ years in MLOps Engineering, ML Platform Engineering, or equivalent ML operational experience
• 3+ years in Software Engineering, Data Engineering, or ML Engineering roles with focus on production ML systems
• Expertise in operating and integrating with cloud ML services such as AWS SageMaker, EKS, CloudWatch, S3, or equivalent GCP ML services
• Experience with large-scale distributed ML systems and data platforms such as Spark, Snowflake, Ray, or Kubernetes-based ML frameworks
  Experience with ML model governance, AI compliance frameworks, and preparing for ML-specific audits (model validation, bias testing, explainability requirements)

Submit CV

Apple is a place where extraordinary people gather to do their best work. Together we craft products and experiences people once couldn't have imagined - and now can't imagine living without. If you're excited by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job Apple is seeking a highly motivated and innovative an exceptional DevOps engineer to join our worldwide sales team, Data Solutions & Initiatives (DSI). This is a unique opportunity to help the growth of one of Apple's global initiatives and contribute to launching ground-breaking new features in support of Apple's sales strategy. In this position, you will join a team of DevOps engineers focused on automating solutions, securing data and infrastructures, and owning all aspects of our infrastructure to achieve high availability, scalability and reliability.

Description

We are looking for a world-class DevOps Engineer who is passionate about operational excellence through automation and engineering processes. As a DevOps Engineer, you will play a crucial role in ensuring the seamless integration of development and operations processes, to deliver best in class and highly available systems. You will work with the application development teams to understand infrastructure requirements, while promoting efficiency, scalability, security, and reliability throughout the software lifecycle. Your expertise in cloud platforms, automation, and infrastructure management will be crucial to the success of our projects. Your responsibilities will include: - Designing engineering platforms and tooling that simplify the process of building, deploying, and operating applications. - Developing automation for common development and operational tasks. - Monitoring system performance and availability, and remediating as necessary. - Collaborating with software and data engineering team on finding operationally sustainable solutions to engineering problems - Provide guidance to the engineering organization on navigating security and compliance requirements - Mentoring other DevOps engineers around best practices and design approaches.

Minimum Qualifications

• 5+ years in DevOps Engineering roles
• 3+ years in Software Engineering roles
• Proficiency with containerization and orchestration technologies such as Docker, Kubernetes or equivalent.
• Proficiency with programming and scripting languages such as Ruby, Python, Node or Bash.
• Proficiency with IaC tools (e.g. Ansible, Terraform).
• Proficiency in CI/CD using Jenkins, Argo or similar systems.
• Proficiency with logging and observability technologies such as Prometheus, Grafana, Splunk or similar
• Proficiency with designing and operating applications in a public cloud environment (AWS, GCP, Azure, etc.)
• Experience integrating security practices into all stages of the software development lifecycle.
• Continuously work with the engineering teams to improve reliability, implementing actionable monitoring framework and be part of production on-call.
• Analytical & problem solving skills, ability to communicate ideas clearly.
• Excellent communication and collaboration abilities, with a strong focus on teamwork.

Preferred Qualifications

• Bachelors Degree in Computer Science or equivalent in Engineering
• 7+ years in DevOps Engineering roles or equivalent operational experience
• 5+ years in Software Engineering roles or equivalent software architecture roles
• Expertise in operating and integrating with AWS services such as EKS, RDS, CloudWatch, etc.
• Expertise in Infrastructure as Code such as Ansible, Terraform, Crossplane etc.
• Experience with large-scale distributed data systems such as Kafka, Hadoop, Redshift, Hive, Spark, etc.
  Experience with preparing and executing PCI, SOC2, SOX, or other compliance audits

Submit CV

Job Title:

Data Engineering Professional

We are seeking a skilled data engineering professional to manage data pipelines and processing within big data environments. The role involves designing, developing, and maintaining data ingestion and transformation jobs to support analytics and reporting needs.

Main Responsibilities:

• Design and develop data ingestion, processing, and integration pipelines using Python, PySpark, and Informatica.
• Analyse data requirements and build scalable data solutions.
• Support testing, deployment, and production operations.
• Collaborate with business and technical teams for smooth delivery.
• Drive automation, standardization, and performance optimization.

Key Requirements:

• Bachelor's degree in IT, Computer Science, or related field.
• Minimum 5 years' experience in data engineering.
• Hands-on skills in Python, PySpark, Linux, SQL, and ETL tools (Informatica preferred).
• Experience with Cloudera Data Platform is an advantage.
• Knowledge of data warehousing, Denodo, and reporting tools (SAP BO, Tableau) preferred.
• Strong analytical, problem-solving, and communication skills.

Job Overview:

We are seeking a highly skilled Chief Data Solutions Architect to lead the design and implementation of our enterprise-grade analytics solutions. As a key member of our team, you will play a pivotal role in shaping our organization's data architecture framework, standards, and principles.

Key Responsibilities:

• Develop and maintain data architecture frameworks, standards, and principles.
• Lead BI specialists and data scientists to build, support, and continuously improve data analytics solutions.
• Collaborate with data engineers and IT members to implement analytics solutions.
• Responsible for requirements analysis, design, development, testing, implementation, and maintenance of enterprise-grade analytics systems.

Requirements:

• Degree or Diploma in Computer Science, Information Technology, or a related field.
• Minimum 3 years' experience in architect and lead roles, showcasing proficiency in end-to-end BI solution design and architecture.
• Hands-on expertise in designing enterprise-grade BI solutions using Microsoft Power BI and/or Qlik Sense.

About Us:

We offer a dynamic work environment that fosters collaboration, innovation, and growth. Our ideal candidate will possess excellent interpersonal, persuasive, and communication skills, with proficiency in both oral and written communication. They will be able to collaborate effectively with individuals at various levels of the organization and demonstrate strong planning, organizational, and problem-solving skills.

Job Summary:

We are seeking an experienced Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining large-scale data pipelines and systems.

About the Role:

• Datasets and data pipelines preparation, support for Business, data troubleshooting
• Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
• Implementation and promotion of Data Platform, transformative data processes, and services
• Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use
• Maintain and model JSON-based schemas and metadata to re-use it across the organization (with central tools)
• Resolving and troubleshooting data-related issues and queries
• Covering all processes from enterprise reporting to data science (incl. ML Ops)

Requirements:

• Knowledge of reference architectures, especially concerning integrated, data-driven landscapes and solutions
• Expert SQL skills, preferably in mixed environments (i.e., classic DWH and distributed)
• Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs
• Data preparation for reporting/analytics and visualization tools (e.g., Tableau, Power BI or Python-based)
• Applying a data quality framework within the architecture

Job Opportunity:

As a Data Engineer, you will be responsible for designing and building robust and scalable data ingestion and management solutions.

This is an excellent opportunity to make a significant impact on an organization's success by working with big data.

Key Responsibilities:

Design and implement data ingestion and management solutions

Work closely with data stewards, analysts, and end-users to support data solutions

Requirements:

Passion for working with big data

Ability to design and build robust data solutions

Excellent collaboration and communication skills

Benefits:

Opportunity to work with cutting-edge technology

Chance to make a significant impact on the organization's success

What We Offer:

A dynamic and collaborative work environment

Ongoing training and development opportunities

Competitive salary and benefits package