Data Engineer

Astek Group; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Astek Singapore is seeking a Data Engineer to design, build, and maintain scalable data pipelines and integration solutions, delivering end-to-end data workflows.

You will work across requirements, design, development, data quality, production support, and governance, ensuring data accuracy and reliability in a fast-paced Agile environment.

Candidates must be Singapore Citizens with at least 5 years of hands-on data engineering experience and strong Python/SQL skills.

Qualifications

• Minimum 5 years of hands-on experience in data engineering and/or application support.
• Strong proficiency in Python and SQL.
• Experience with data pipelines, data integration, data transformation, data modeling, and data quality.
• Excellent problem-solving, debugging and analytical skills in production environments.
• Good written and verbal communication skills.
• Adaptable and quick to learn in an Agile environment.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines, data models, and integration solutions.
• Ingest, transform, and curate data from multiple sources for downstream systems and analytics.
• Translate business and data requirements into reliable, maintainable technical solutions.
• Partner with analysts to validate business rules, data mappings, transformation logic, and user requirements.
• Perform data profiling, reconciliation, testing, and root-cause analysis to ensure data quality.

Skills

Python

SQL

Data pipelines

Data integration

Data transformation

Data modeling

Data quality

Agile

Education

Bachelor's degree in Computer Science or Information Technology

Job description

Do note that this role is only open to Singapore Citizens.

ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 10,000 passionate experts in 22 countries throughout Europe, APAC, Middle East and the Americas

We are looking for an experienced Data Engineer to develop, enhance, and support data pipelines and integration solutions. The role covers the full delivery lifecycle, from requirements analysis and technical design to development, data quality, production support, and ongoing optimisation.

Key Responsibilities

• Design, develop, test, and maintain scalable data pipelines, data models, and integration solutions.
• Ingest, transform, and curate data from multiple internal and external sources for downstream systems and analytics.
• Translate business, functional, and data requirements into reliable and maintainable technical solutions.
• Partner with business analysts to validate business rules, data mappings, transformation logic, and user requirements.
• Perform data profiling, reconciliation, testing, and root-cause analysis to maintain data accuracy, completeness, and consistency.

Application & Production Support

• Manage application enhancements, defects, production incidents, and change requests through proper assessment, testing, and implementation.
• Provide BAU support for data platforms and pipelines, including monitoring, incident investigation, troubleshooting, and remediation.
• Monitor system and pipeline performance and implement improvements in automation, performance, reliability, and resilience.

Documentation & Governance

• Maintain technical documentation including data flow diagrams, pipeline designs, data models, mappings, interface specifications, and operational runbooks.
• Implement appropriate data governance, security, risk, and technology controls across data solutions.
• Ensure solutions comply with internal data management and technology standards.

Requirements

• Only SG Citizens will be considered.
• Degree in Computer Science, Information Technology, or a related discipline.
• Minimum 5 years of hands-on experience in data engineering and/or application support.
• Strong hands-on proficiency in Python and SQL.
• Experience with data pipelines, data integration, data transformation, data modeling, and data quality.
• Strong troubleshooting and analytical skills, particularly within production environments.
• Good written and verbal communication skills.
• Adaptable, quick to learn, and comfortable working in an Agile environment