309 Data Systems jobs in Singapore

We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a key role in designing, developing, and maintaining robust, scalable ETL/ELT pipelines and data platforms.

This position requires strong expertise in SQL, relational and NoSQL databases, and data modeling. You should have proficiency in Python, Scala, or Java for data engineering tasks.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field required.
• 6 years of experience as a Data Engineer or in a similar role is essential.

In this role, you will lead the design, development, and maintenance of large-scale data systems. You will also partner with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.

The ideal candidate will have hands-on experience with big data frameworks and tools (e.g., Apache Spark, Kafka, Airflow, dbt) and cloud platforms (AWS, Azure, or GCP). They will also have a deep understanding of ETL/ELT design patterns, data governance, and best practices.

If you are passionate about data engineering and have a strong desire to work on complex data projects, we encourage you to apply.

Job Overview

A Data Engineer is required to design and implement scalable data pipelines and ETL processes, ensuring high-quality, consistent, and reliable data.

The role involves automating data collection processes where feasible, collecting and consolidating data from various sources, clean, transform, and load data into data lakes or warehouses.

Key responsibilities include monitoring and maintaining pipeline performance, reliability, and security, designing and managing cost-effective and optimized data storage solutions.

The Data Engineer will ensure compliance with data governance and regulatory requirements, develop interactive dashboards using tools like Tableau, Power BI, etc., collaborate with stakeholders to design impactful and user-friendly visualizations.

Analyze data to identify trends, patterns, and insights, prepare reports and present findings to support strategic decision-making, provide data-driven recommendations to internal teams and leadership.

Required Skills and Qualifications:

• Diploma in any discipline, preferably in Data Sciences or Business Analytics.
• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with Databricks.
• Experience with Data visualization tools such as Tableau/ Tableau Cloud.
• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Design and develop data warehouses and big data systems.
• Develop and maintain ETL processes using Apache Spark, Scala, and Python.
• Implement data pipelines using Hadoop, Kafka, and Docker.
• Ensure data quality and integrity through regular testing and validation.
• Maintain expertise in AWS cloud architecture and services, including Terraform for cloud deployment.

• Bachelor's degree in Computer Science or related field.
• 8-12 years of experience in data warehousing and big data technologies.
• Extensive knowledge of ERD design, ETL, querying, and data management.
• Minimum 6-8 years of Python development experience in data engineering.
• Minimum 8-10 years of SQL experience.
• Experience with CI/CD, Kubernetes, and containerization using Docker.

• Opportunity to work with cutting-edge technology.
• Collaborative and dynamic work environment.
• Professional growth and development opportunities.

We are a leading organization in the tech industry, dedicated to innovation and excellence.

Roles & Responsibilities:

• Develop and manage data systems, ensuring high-quality, reliable, and consistent data.
• Implement data governance processes to improve data quality and management.
• Build scalable and efficient data processing pipelines in cloud, on-premise, and hybrid environments.
• Collaborate with cross-functional teams to derive actionable insights from large datasets.
• Design and implement internal processes to automate manual workflows and optimize data delivery.
• Establish expertise in designing, analyzing, and troubleshooting large-scale distributed systems.

Requirements:

• Experience with big data tools including Spark, Kafka, Cloudera Hadoop ecosystem, Impala, and Trino.
• Experience with Master Data Management (MDM) tools and platforms such as Informatica MDM, Talend Data Catalog, Semarchy xDM, IBM PIM & IKC, or Profisee.
• Knowledge of data governance, including data quality management, data profiling, data remediation, and automated data lineage.
• Experience working with cloud services using one or more providers such as Azure, GCP, or AWS.
• Advanced working experience with relational SQL and NoSQL databases, including Hive, HBase, and Postgres.
• Deep understanding of SQL and the ability to optimize data queries.

Benefits:

Opportunity to work with cutting-edge technologies and innovative projects.

Chance to collaborate with a dynamic team and contribute to business growth.

Competitive compensation package.

Professional development opportunities.

We are hiring a motivated individual to lead the development and regulation of digital platforms supporting electric vehicle (EV) charging systems in Singapore.

• Contribute to the digital transformation of national sustainability efforts.
• Work on meaningful, large-scale data and platform projects.
• Engage with multiple stakeholders to shape future-ready infrastructure

Responsibilities:

• Lead initiatives to collect, manage, and publish EV charging data such as real-time availability and pricing.
• Manage the development of digital tools for charger planning, data integration, and system monitoring.
• Coordinate with development teams and vendors to ensure successful prototyping, testing, and deployment.
• Plan for post-launch platform maintenance, including vendor transition and operations support.
• Collaborate with external stakeholders on data transmission, platform security, and system integration.
• Ensure robust measures are in place for safeguarding data and maintaining long-term platform sustainability.

Requirements:

• Degree in a data-related or technical discipline (e.g. engineering, data science, IT).
• Strong project coordination and stakeholder management experience.
• Comfortable working in a fast-paced environment across multiple initiatives.
• Meticulous with documentation, system planning, and risk assessment.
• Experience with platform development or IT systems is preferred.
• Knowledge of EV charging communication protocols is a bonus but not required.
• Strong communicator and collaborative team player across technical and non-technical groups.
• Prior involvement in Government project.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781

We are hiring a motivated individual to lead the development and regulation of digital platforms supporting electric vehicle (EV) charging systems in Singapore.

• Contribute to the digital transformation of national sustainability efforts.
• Work on meaningful, large-scale data and platform projects.
• Engage with multiple stakeholders to shape future-ready infrastructure

Responsibilities:

• Lead initiatives to collect, manage, and publish EV charging data such as real-time availability and pricing.
• Manage the development of digital tools for charger planning, data integration, and system monitoring.
• Coordinate with development teams and vendors to ensure successful prototyping, testing, and deployment.
• Plan for post-launch platform maintenance, including vendor transition and operations support.
• Collaborate with external stakeholders on data transmission, platform security, and system integration.
• Ensure robust measures are in place for safeguarding data and maintaining long-term platform sustainability.

Requirements:

• Degree in a data-related or technical discipline (e.g. engineering, data science, IT).
• Strong project coordination and stakeholder management experience.
• Comfortable working in a fast-paced environment across multiple initiatives.
• Meticulous with documentation, system planning, and risk assessment.
• Experience with platform development or IT systems is preferred.
• Knowledge of EV charging communication protocols is a bonus but not required.
• Strong communicator and collaborative team player across technical and non-technical groups.
• Prior involvement in Government project.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781

We are hiring a motivated individual to lead the development and regulation of digital platforms supporting
electric vehicle (EV) charging systems
in Singapore.
Contribute to the digital transformation of national sustainability efforts.
Work on meaningful, large-scale data and platform projects.
Engage with multiple stakeholders to shape future-ready infrastructure
Responsibilities:
Lead initiatives to collect, manage, and publish EV charging data such as real-time availability and pricing.
Manage the development of digital tools for charger planning, data integration, and system monitoring.
Coordinate with development teams and vendors to ensure successful prototyping, testing, and deployment.
Plan for post-launch platform maintenance, including vendor transition and operations support.
Collaborate with external stakeholders on data transmission, platform security, and system integration.
Ensure robust measures are in place for safeguarding data and maintaining long-term platform sustainability.
Requirements:
Degree in a data-related or technical discipline (e.g. engineering, data science, IT).
Strong project coordination and stakeholder management experience.
Comfortable working in a fast-paced environment across multiple initiatives.
Meticulous with documentation, system planning, and risk assessment.
Experience with platform development or IT systems is preferred.
Knowledge of EV charging communication protocols is a bonus but not required.
Strong communicator and collaborative team player across technical and non-technical groups.
Prior involvement in Government project.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781
#J-18808-Ljbffr

We are hiring a motivated individual to lead the development and regulation of digital platforms supporting electric vehicle (EV) charging systems in Singapore.

• Contribute to the digital transformation of national sustainability efforts.
• Work on meaningful, large-scale data and platform projects.
• Engage with multiple stakeholders to shape future-ready infrastructure

Responsibilities:

• Lead initiatives to collect, manage, and publish EV charging data such as real-time availability and pricing.
• Manage the development of digital tools for charger planning, data integration, and system monitoring.
• Coordinate with development teams and vendors to ensure successful prototyping, testing, and deployment.
• Plan for post-launch platform maintenance, including vendor transition and operations support.
• Collaborate with external stakeholders on data transmission, platform security, and system integration.
• Ensure robust measures are in place for safeguarding data and maintaining long-term platform sustainability.

Requirements:

• Degree in a data-related or technical discipline (e.g. engineering, data science, IT).
• Strong project coordination and stakeholder management experience.
• Comfortable working in a fast-paced environment across multiple initiatives.
• Meticulous with documentation, system planning, and risk assessment.
• Experience with platform development or IT systems is preferred.
• Knowledge of EV charging communication protocols is a bonus but not required.
• Strong communicator and collaborative team player across technical and non-technical groups.
• Prior involvement in Government project.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781

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.