264 Data Systems jobs in Singapore

Position Overview

We are seeking a Data & Systems Engineer to ensure seamless data migration, build reliable in-house applications, and support system improvements that drive business performance. This role blends hands-on coding, data integrity, and system development—perfect for someone who enjoys problem-solving, teamwork, and making technology work smarter for the business.

Roles & Responsibilities

• Manage end-to-end data migration activities (mapping, standardization, mock runs, validation, and reconciliation) to ensure integrity and consistency across systems.
• Troubleshoot and resolve critical data issues, safeguarding accuracy and quality during migration.
• Develop and maintain dashboards and reports for project tracking, migration progress, and performance metrics.
• Design, build, test, and deploy in-house applications that meet evolving business and customer needs.
• Collaborate with IT project team to translate functional specifications into features, conduct unit testing, and resolve bugs.
• Maintain high coding standards, adhering to SDLC practices, and manage version control via source code repositories.
• Conduct system analysis and recommend feasible technical solutions for business operations.
• Support ERP/software implementation, including administrative tasks and customized reporting.

Requirements

• Proficiency in programming languages (Python with libraries, Java, C#, R, SQL, NoSQL).
• Experience with database design, data models, ETL processes, and data mining techniques.
• Familiarity with ERP systems (Business Central 365, SAP) and reporting tools (Power BI, Business Objects).
• Hands-on experience with reporting, queries, and data visualization.
• Knowledge of IoT, APIs, machine learning, or AI is a plus.
• Strong analytical, problem-solving, and presentation skills.
• Meticulous attention to detail with a commitment to accuracy.
• Effective team player with strong oral and written communication skills.
• Solid work experience in data analysis, programming, or data science.

We are seeking a highly skilled Data Systems Specialist to join our team. As a key member of our organization, you will be responsible for designing, developing, and maintaining data pipelines and models to support Finance reporting and analytics.

• Data Engineering Expertise:
• Design, implement, and operate ETL/ELT processes to ingest data from enterprise systems into the data platform.
• Collaborate with system owners to extract and consolidate report data from multiple platforms.
• Data Modeling and Optimization:
• Develop well-documented and efficient data models to support Finance reporting requirements.
• Ensure scalability and performance for analytics workloads.
• Data Quality and Governance:
• Implement data validation, observability, and lineage tracking.
• Enforce compliance with internal security policies and regulatory requirements.
• Automation and Orchestration:
• Develop automated workflows and transformation processes using CI/CD principles.
• Contribute to infrastructure-as-code practices for deployment consistency.
• Business Intelligence Enablement:
• Partner with Finance analysts to provision curated data sets for dashboards and reporting.
• Optimize SQL queries for performance and reliability.
• AI/ML Support (Optional):
• Prepare datasets and features for AI/ML use cases.
• Collaborate with data science teams on model deployment and evaluation.

Our organization is seeking a skilled Data Engineer to design, deploy and manage data management solutions. This role will be based in Singapore - CBD, with 2 days WFH.

• Develop and implement data governance and quality solutions using Google Cloud Dataplex.
• Design and deploy data management solutions integrating data lakes, warehouses, BI applications.
• Develop proficiency in programming languages such as Java, Python.
• Experience in data lineage, metadata management, and RBAC within Dataplex.

• Strong understanding of cloud platforms (Google Cloud or AWS) and services.
• Familiarity with data processing frameworks like Apache Spark, Cloud Dataflow.
• Reltio MDM experience and data governance certifications are a plus.

• Bachelor's or Master's Degree in Computer Science, Information Technology, or related field.
• 5–7 years of hands-on experience in Data Engineering or a related role.
• Strong proficiency in SQL and experience with relational and non-relational databases.
• Expertise in data pipeline tools such as Apache Airflow, Kafka, Spark, NiFi, or Talend.
• Strong programming skills in Python, Java, or Scala for data manipulation and automation.

Job Overview

We are seeking a Lead Data Systems Architect to design and implement data pipelines that meet the needs of our organization.

This is a senior-level position responsible for developing and maintaining large-scale data systems, collaborating with cross-functional teams, and driving technical solutions to business problems.

• Design and implement scalable data pipelines using Hadoop ecosystem components, ensuring high data quality and reliability.
• Create optimized SQL queries to extract and manipulate data for reporting and analysis, working closely with data analysts and scientists.
• Collaborate with stakeholders to understand data requirements and provide strategic guidance on data architecture and engineering.
• Serve as a subject matter expert in data modeling, ETL processes, and data warehousing, providing training and support to team members.
• Monitor and troubleshoot complex data systems, identifying opportunities for improvement and implementing changes to enhance performance and efficiency.

Benefits

We offer a dynamic work environment, opportunities for professional growth and development, and a competitive compensation package.

About Us

We are a forward-thinking organization dedicated to innovation and excellence in all aspects of our work.

The role of Data Architect focuses on designing and implementing scalable data systems to meet business needs. This position requires expertise in integrating data from multiple sources, ensuring data quality, and enforcing security and compliance regulations.

Main responsibilities include:

• Designing data pipelines for efficient data transfer
• Developing and maintaining large-scale data systems
• Ensuring data accuracy and consistency across all platforms
• Implementing robust security measures to protect against data breaches

Key requirements for this position include:

• Bachelor's or master's degree in computer science, information technology, or a related field
• Strong knowledge of databases, data structures, and algorithms
• Proficiency in languages such as Python, SQL, Java, and Scala
• Experience with data visualization tools like Power BI, Plotly, Grafana, and Redash

To succeed in this role, you must have excellent problem-solving skills, attention to detail, and the ability to work well under pressure. The ideal candidate will be highly motivated, passionate about data engineering, and committed to delivering high-quality results.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• 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.
• Collaborate closely with other departments 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 modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• 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.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.

The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.

Key responsibilities include:

• Designing and implementing data architectures to support business objectives.
• Developing and maintaining complex models using machine learning algorithms.
• Analyzing large datasets to identify trends and insights.

Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.

In addition to technical skills, strong communication and collaboration skills are essential for success in this role.