SalaryPeak

IT Enablement Engineer (12 months contract)

ESOL PTE. LTD.
Singapore 7+ years Posted Mar 26, 2026

Salary Range

SGD 54,000 - SGD 78,000 /year

SGD 4,500 - SGD 6,500/month

Skills Required

ValidationDesignETL ToolsData PipelineAWSPowershellSystems IntegrationEC2Data EngineeringValidation and VerificationSQL DevelopmentPower BIData Visualization

Job Description

Key Responsibilities

Data Engineering & Integration

  • Design, build, and maintain end-to-end ETL data pipelines
  • Integrate data from multiple enterprise systems (e.g., ServiceNow, Tenable, SharePoint)
  • Perform data modelling, transformation, and validation
  • Optimize data pipelines within AWS (S3, Glue, Lambda, EC2)

API & System Integration

  • Develop and manage integrations using REST APIs
  • Automate data extraction and ingestion processes across systems

Dashboard Development (Power BI)

  • Design and enhance interactive dashboards using Power BI
  • Translate key metrics (governance, risk, finance, operations) into actionable insights
  • Ensure dashboards follow strong UX and business reporting standards

Automation & DevSecOps

  • Support automation initiatives across IT Operations and DevSecOps
  • Contribute to building and improving automation pipelines

Technical Support & Governance

  • Provide support for applications/tools managed by the enablement team
  • Troubleshoot incidents, optimize performance, and ensure system reliability
  • Ensure compliance with ITIL processes, security, and governance standards

Stakeholder Collaboration

  • Work closely with IT and business teams to gather and validate requirements
  • Coordinate testing, validate outputs, and ensure successful delivery
  • Prepare technical documentation, design specifications, and test plans

Required Skills & Experience

  • 7+ years of hands-on experience in data engineering, system integration, or related roles
  • Strong SQL skills for data analysis and profiling
  • Solid experience in ETL development (data cleaning, transformation, validation)
  • Hands-on experience with AWS services (S3, Glue, Lambda, EC2)
  • Experience with REST APIs and system integrations
  • Proficiency in Python, Shell scripting, or PowerShell
  • Experience with Power BI or other data visualization tools