Data Engineer Assistant Manager

Business Edge Personnel Services; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A recruitment agency in Singapore is seeking a Data Engineer responsible for designing, developing, and maintaining data pipelines to support finance reporting. The ideal candidate has proficiency in SQL and Python, experience in ETL processes, and strong collaboration skills. This role ensures data compliance and quality while enabling advanced analytics and AI capabilities.

Qualifications

• Proficiency in SQL and Python for data processing and automation.
• Experience in ETL/ELT pipeline development and data modeling.
• Knowledge of data quality, observability, and governance practices.
• Familiarity with enterprise systems integration (Workday RAAS experience preferred).
• Understanding of CI/CD principles and version control tools.
• Strong communication and documentation skills.

Responsibilities

• Design, develop, and maintain data pipelines and models to support Finance reporting.
• Ensure data integrity, security, and compliance with government standards.
• Develop automated workflows and transformation processes using CI/CD.
• Partner with Finance analysts to provision curated data sets for dashboards.
• Produce technical documentation, including runbooks and design records.

Skills

Data Integration and Pipeline Development

Data Modeling and Optimization

Data Quality and Governance

Automation and Orchestration

Business Intelligence Enablement

AI/ML Support

Documentation and Collaboration

Tools

SQL

Python

Tableau

Power BI

Azure

AWS

GCP

Job description

Location: Mapletree Business City

The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and models to support Finance reporting and analytics. The role ensures data integrity, security, and compliance with government standards while enabling downstream business intelligence and emerging AI capabilities.

Requirement - Skills

• Data Integration and Pipeline Development
  • Design, implement, and operate ETL/ELT processes to ingest data from enterprise systems, including Workday RAAS, 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 PDPA and internal security policies.
• 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.
• Documentation and Collaboration
  • Produce technical documentation, including runbooks and design records.
  • Work closely with Finance stakeholders to align solutions with business needs.

Requirements - Work Experience:

Essential

• Proficiency in SQL and Python for data processing and automation.
• Experience in ETL/ELT pipeline development and data modeling.
• Knowledge of data quality, observability, and governance practices.
• Familiarity with enterprise systems integration (Workday RAAS experience preferred).
• Understanding of CI/CD principles and version control tools.
• Strong communication and documentation skills.

Desirable

• Exposure to BI tools such as Tableau or Power BI.
• Experience with cloud data platforms (Azure, AWS, or GCP).
• Familiarity with data orchestration frameworks and infrastructure automation.
• Knowledge of AI/ML enablement and data governance frameworks.