- Outram Central Region (Singapore) Singapore
Kerja Sepenuh Masa Senior Data Engineer (Databricks, Power BI), Gaji tinggi SGD 7,500 di CMC-APAC PRIVATE LIMITED Central Region (Singapore) - Maukerja
Senior Data Engineer (Databricks, Power BI)
CMC-APAC PRIVATE LIMITED
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Job Purpose / Job Summary
You will be part of a high-performing and multi-disciplinary research division that conducts a range of research initiatives that impacts policy and operations in Singapore’s social service sector. Our client has multiple operations systems and is currently implementing a new Data Platform where data will be aggregated and transformed to answer strategic business questions.
The Senior Data Engineer will mentor data engineers to build and maintain robust infrastructure and systems across digital ecosystem. The team will be instrumental in supporting the development of data pipelines and infrastructure that ensure clean, accurate, and timely data is available for business analytics, decision-making, and AI applications.
Key Responsibilities and Activities
Data Engineering Leadership
Guide and plan data engineering processes for digital systems.
Lead technical discussions with the data engineering team and stakeholders to shape the future of digital products.
Lead and advise agency on data engineering strategy, architecture, and implementation aligned with the Digital Government Blueprint (DGB2.0).
Provide technical leadership across multiple product teams by establishing data architecture standards and developer operations best practices that ensure consistency, quality, and enhanced system reliability across all data initiatives.
Mentor and Train the Data Engineering Team
Data Infrastructure Support
Assist in designing and developing data pipelines and architectures to collect, process, harmonize and store data from various source systems across digital products.
Support the building of data pipelines that integrate data from multiple platforms and services.
Help maintain data lakes and database infrastructure to support analytical, reporting, and AI workloads across the ecosystem.
Data Quality and Monitoring
Implement data validation, cleansing, and normalisation processes under supervision to ensure data quality and integrity.
Monitor data pipelines and systems to identify potential issues and performance bottlenecks.
Assist in maintaining data governance frameworks that support compliance and data security requirements.
System Maintenance and Documentation
Support the maintenance of data infrastructure supporting digital products.
Assist in troubleshooting and resolving data-related issues under guidance from senior team members.
Create and maintain documentation of data engineering processes and system configurations.
Collaboration to Facilitate Business Requirements
Work closely with senior data engineers, product teams, analysts, and stakeholders across to understand business data requirements into technical specifications and scalable solutions.
Design, develop and deploy data tables, visualisation and marts for business reporting.
Professional Development
Stay current with emerging technologies and trends in data engineering through training and mentorship.
Participate in continuous learning opportunities to develop technical skills and domain knowledge.
Contribute to process improvements and suggest enhancements to existing data systems.
Participate in knowledge sharing sessions and contribute to team learning initiatives.
Behaviors Needed to Succeed
Personal Competencies
Self-driven and takes the initiative
Analytical and critical thinker
Strong project management
Excellent communication and stakeholder management skills
Skills & Knowledge
Technical Skills
Proficiency in at least one programming language such as Python, Java, or Scala for data processing and scripting.
Basic knowledge of database systems, both relational and non-relational, and their query languages (SQL knowledge essential).
Advanced knowledge of data modelling and schema design principles.
Familiarity with data integration and ETL (Extract, Transform, Load) concepts and processes.
Basic experience with version control systems such as Git.
Cloud and Platform Knowledge
Basic familiarity with cloud platforms, preferably AWS services such as S3, EC2, and RDS.
Exposure to big data technologies and frameworks such as Spark or similar platforms.
Experience with Databricks and implementing batch/real-time data pipelines.
Understanding of data governance policies, access controls, and security best practices in government environments.
Knowledge in data science, statistical analysis and/or machine learning techniques to allow better collaboration with researchers and analysts to support their workflows within the Data Platform ecosystem.
Requirements
Education
A Bachelor's Degree in Computer Science, Data Science, Engineering, Information Technology, or related technical field.
Experience
5+ years of experience in data engineering, cloud infrastructure, platform engineering or related technical roles.
Experience with any cloud platform (AWS, Azure, or GCP).
Knowledge and experience in business intelligence tools such as Power BI, AWS QuickSight, or similar platforms.
Experience with data visualisation tools and techniques.
Familiarity with agile development methodologies.
Previous project experience involving data processing or analytics.
Preferred Certifications
Possess any of the certifications below would be considered:
AWS Certified Data Engineer
Databricks Certified Data Engineer
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
You will be part of a high-performing and multi-disciplinary research division that conducts a range of research initiatives that impacts policy and operations in Singapore’s social service sector. Our client has multiple operations systems and is currently implementing a new Data Platform where data will be aggregated and transformed to answer strategic business questions.
The Senior Data Engineer will mentor data engineers to build and maintain robust infrastructure and systems across digital ecosystem. The team will be instrumental in supporting the development of data pipelines and infrastructure that ensure clean, accurate, and timely data is available for business analytics, decision-making, and AI applications.
Key Responsibilities and Activities
Data Engineering Leadership
Guide and plan data engineering processes for digital systems.
Lead technical discussions with the data engineering team and stakeholders to shape the future of digital products.
Lead and advise agency on data engineering strategy, architecture, and implementation aligned with the Digital Government Blueprint (DGB2.0).
Provide technical leadership across multiple product teams by establishing data architecture standards and developer operations best practices that ensure consistency, quality, and enhanced system reliability across all data initiatives.
Mentor and Train the Data Engineering Team
Data Infrastructure Support
Assist in designing and developing data pipelines and architectures to collect, process, harmonize and store data from various source systems across digital products.
Support the building of data pipelines that integrate data from multiple platforms and services.
Help maintain data lakes and database infrastructure to support analytical, reporting, and AI workloads across the ecosystem.
Data Quality and Monitoring
Implement data validation, cleansing, and normalisation processes under supervision to ensure data quality and integrity.
Monitor data pipelines and systems to identify potential issues and performance bottlenecks.
Assist in maintaining data governance frameworks that support compliance and data security requirements.
System Maintenance and Documentation
Support the maintenance of data infrastructure supporting digital products.
Assist in troubleshooting and resolving data-related issues under guidance from senior team members.
Create and maintain documentation of data engineering processes and system configurations.
Collaboration to Facilitate Business Requirements
Work closely with senior data engineers, product teams, analysts, and stakeholders across to understand business data requirements into technical specifications and scalable solutions.
Design, develop and deploy data tables, visualisation and marts for business reporting.
Professional Development
Stay current with emerging technologies and trends in data engineering through training and mentorship.
Participate in continuous learning opportunities to develop technical skills and domain knowledge.
Contribute to process improvements and suggest enhancements to existing data systems.
Participate in knowledge sharing sessions and contribute to team learning initiatives.
Behaviors Needed to Succeed
Personal Competencies
Self-driven and takes the initiative
Analytical and critical thinker
Strong project management
Excellent communication and stakeholder management skills
Skills & Knowledge
Technical Skills
Proficiency in at least one programming language such as Python, Java, or Scala for data processing and scripting.
Basic knowledge of database systems, both relational and non-relational, and their query languages (SQL knowledge essential).
Advanced knowledge of data modelling and schema design principles.
Familiarity with data integration and ETL (Extract, Transform, Load) concepts and processes.
Basic experience with version control systems such as Git.
Cloud and Platform Knowledge
Basic familiarity with cloud platforms, preferably AWS services such as S3, EC2, and RDS.
Exposure to big data technologies and frameworks such as Spark or similar platforms.
Experience with Databricks and implementing batch/real-time data pipelines.
Understanding of data governance policies, access controls, and security best practices in government environments.
Knowledge in data science, statistical analysis and/or machine learning techniques to allow better collaboration with researchers and analysts to support their workflows within the Data Platform ecosystem.
Requirements
Education
A Bachelor's Degree in Computer Science, Data Science, Engineering, Information Technology, or related technical field.
Experience
5+ years of experience in data engineering, cloud infrastructure, platform engineering or related technical roles.
Experience with any cloud platform (AWS, Azure, or GCP).
Knowledge and experience in business intelligence tools such as Power BI, AWS QuickSight, or similar platforms.
Experience with data visualisation tools and techniques.
Familiarity with agile development methodologies.
Previous project experience involving data processing or analytics.
Preferred Certifications
Possess any of the certifications below would be considered:
AWS Certified Data Engineer
Databricks Certified Data Engineer
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
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