7 Database Developer jobs in Singapore

About the Role:
We are looking for a skilled Database Developer with hands-on experience in Oracle and MS SQL to join our IT team. The ideal candidate will design, develop, and maintain database solutions, optimize performance and ensure data integrity across systems. This role requires strong problem-solving skills and the ability to collaborate with business and IT teams to deliver robust data solutions.

Key Responsibilities:

• Design, develop, and maintain database objects including tables, views, stored procedures, triggers and functions in Oracle and MS SQL .
• Optimize database performance through query tuning, indexing and monitoring .
• Ensure data integrity, security, and backup/recovery procedures are implemented and maintained.
• Collaborate with developers, analysts, and business users to translate requirements into database solutions .
• Perform database troubleshooting, issue resolution and support for production systems.
• Assist in database migrations, upgrades and deployment activities .
• Create and maintain technical documentation for database designs, scripts and processes.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems or related field .
• 3–5 years of experience as a Database Developer or similar role.
• Hands-on experience with Oracle PL/SQL and MS SQL Server (T-SQL) .
• Strong understanding of database design, normalization and relational modeling .
• Experience with performance tuning, query optimization and indexing .
• Knowledge of backup/recovery, security, and database monitoring tools .
• Strong analytical, problem-solving and communication skills .

Preferred:

• Experience with ETL processes, SSIS or data integration tools .
• Familiarity with reporting/BI tools like Power BI, Tableau or SSRS.
• Exposure to cloud database platforms (Azure SQL, Oracle Cloud) is a plus.

Please send your detailed resume in MS Word format to with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

We're seeking a skilled Database System Developer to design and build a custom database management system for our business operations.

This project-based role involves close collaboration with our internal team to understand our processes and deliver a functional, scalable solution.

• Design and develop a database management system aligned with operational needs.
• Build and manage a secure, scalable SQL database for storing customer and sales data.
• Implement data analysis features such as reporting, trend tracking, and customer segmentation.
• Integrate the developed solution with existing systems.
• Provide clear documentation and training for users.
• Offer technical support throughout testing, deployment, and post-launch.

To succeed in this role, you'll need:

• Proven experience in database, SQL, and/or CRM development or similar business tools.
• Strong understanding of data analytics and business intelligence.
• Good knowledge of retail/consumer business nature.
• High proficiency in SQL and database design.
• Familiarity with retail Point of Sales systems and working with APIs.
• Ability to work independently and meet deadlines.
• Excellent problem-solving skills and attention to detail.

Role Overview:

We are seeking a highly skilled tribologist with expertise in data modeling and machine learning to join our team. As a data modeling specialist, you will apply advanced data science techniques to model and simulate the behavior of lubricants and related materials.

Key Responsibilities:

• Develop and deploy predictive models using Azure Machine Learning to support product development and process optimization.
• Collaborate with cross-functional teams to uncover insights from experimental, simulation, and operational datasets.
• Translate domain knowledge into interpretable machine learning features and modeling strategies.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and correlations in large-scale, multi-source datasets.
• Build and maintain pipelines for continuous learning and performance monitoring in production environments.
• Contribute to the development of scientific publications and internal knowledge bases.
• Ensure data governance, quality, and reproducibility of scientific modeling efforts.

Required Qualifications:

• MSc or PhD in Tribology, Chemical Engineering, Materials Science, Mechanical Engineering, or a related field with strong data science exposure.
• Solid understanding of lubricants, dispersants, and their chemical/physical mechanisms.
• 3+ years of experience in data science, machine learning, or computational modeling roles.
• Proficiency in Python and key data science libraries (e.g., scikit-learn, pandas, NumPy, matplotlib).
• Hands-on experience with Azure Machine Learning (AML) – model training, deployment, versioning, and monitoring.
• Familiarity with statistical modeling, optimization, and time-series or multivariate analysis.

Preferred Qualifications:

• Experience working with sensor data, lab data, or simulation data in a tribological or chemical context.
• Knowledge of physics-informed machine learning, hybrid modeling, or surrogate modeling techniques.
• Familiarity with tools like MLflow, Databricks, Azure Data Factory, or Power BI.
• Strong communication skills, especially in conveying complex technical insights to non-technical stakeholders.

Desired Skills:

• Materials Science
• Factory
• Pandas
• Statistical Modeling
• Modeling
• Pipelines
• Azure Machine Learning
• Tribology
• Data Quality
• Data Governance
• Process Optimization
• Publications
• Power BI
• Chemical Engineering
• Matplotlib
• Mechanical Engineering

We offer a dynamic work environment that fosters innovation, collaboration, and professional growth. If you are passionate about applying data science to solve real-world problems, we encourage you to apply for this exciting opportunity.

Key Responsibilities include:

• Create data models to meet various business needs by combining data from multiple sources, providing a comprehensive view of the data landscape.
• Clean, transform, and analyze large data sets to extract valuable insights and identify trends, patterns, and correlations.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI, clearly communicating findings and recommendations to stakeholders.
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks, ensuring efficiency, accuracy, and scalability.
• Collaborate closely with other departments to understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements:

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modeling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts and ability to apply them effectively in real-world scenarios.
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical fields.

Overview
Full Stack Software Developer (Web, API, Database, Parallel Processing), AIDD
The Artificial Intelligence (AI) in Drug Discovery (AIDD), hosted by the Singapore Agency for Science, Technology and Research (A*STAR), is Singapore's national programme for the utilization of AI in drug discovery. AIDD will develop novel machine learning models and algorithms towards the discovery and validation of drug targets, biomarkers, and molecular entities as therapeutics. A cornerstone of our programme is the AIDD LeadFactory, a central technology platform specifically designed for AI-driven medicinal chemistry. This cutting-edge facility provides the experimental and computational infrastructure to translate AI-generated insights into tangible chemical matter, enabling rapid iteration and validation in the drug discovery pipeline.
We are seeking a talented and motivated Full Stack Software Developer to join us. As a Full Stack Software Developer, you will play a pivotal role in developing and optimizing the computational tools and infrastructure that power our research, with a focus on developing cutting-edge web interfaces and apps, strong APIs, efficient parallel processes, and robust database solutions. You will be instrumental in designing, developing, and maintaining critical software components that drive our projects. You will work across the full stack, leveraging your expertise in various programming languages to deliver high-quality, performant, and user-friendly applications.
Key Responsibilities
Develop and optimize web interfaces for scientific applications, ensuring an intuitive and responsive user experience.
Design and implement scalable and secure APIs to facilitate seamless data exchange between systems.
Architect and build parallel processes to handle complex computations and large datasets efficiently.
Manage and optimize database systems, ensuring data integrity, performance, and reliability.
Collaborate closely with cross-functional teams, including product managers, designers, and other engineers and scientists, to define requirements and deliver innovative solutions.
Write clean, maintainable, and well-documented code.
Participate in code reviews and contribute to a culture of continuous improvement.
Qualifications
Master's degree in Computer Science, Software Engineering, Computational Chemistry, Bioinformatics, or a related field.
Demonstrable experience with modern web frameworks and libraries (e.g., React, Angular, Vue.js, Django, Flask, Node.js, Spring Boot).
Solid understanding of relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis).
Experience with designing and implementing RESTful or GraphQL APIs.
Experience with scientific libraries and frameworks (e.g., RDKit, OpenEye, NumPy, SciPy, Pandas, scikit-learn, TensorFlow/PyTorch), and web-based software platforms.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Proven ability to develop and optimize parallel processing solutions (e.g., multi-threading, multi-processing, distributed computing).
Excellent problem-solving skills and an analytical mindset.
Strong communication and collaboration abilities.
A proactive and self-motivated approach to work.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
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Ensures seamless collaboration with all stakeholders to resolve technical issues and facilitate the smooth transmission of data. Coordinates schedules and ensures quality is consistently implemented.

1. Coordinate site supervision works, quality implementation, and technical matters.
2. Assist in implementing BIM processes and oversee modeling and drafting operations.

• Collaborate effectively with team members and other departments to ensure drawings are accurate.
• Handle inspections and handovers to achieve customer satisfaction.

• Degree in Architecture or Engineering.
• Minimum 2 years of experience in coordination roles (Architectural or M&E).
• Minimum 2-3 years of experience in BIM modeling (Architectural or M&E).