SalaryPeak

Senior Data Engineer - Up to $13K

PEOPLE ADVANTAGE PTE. LTD.
Singapore 5+ years Posted Apr 20, 2026

Salary Range

SGD 108,000 - SGD 156,000 /year

SGD 9,000 - SGD 13,000/month

Skills Required

TerraformAirflowFoundation DesignETL ToolsAWSHadoopPublic SectorSoftware EngineeringPlatform ArchitectureData GovernanceSparkPythonData ArchitectureProgrammingAlgorithms

Job Description

Job Description

  • Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.

  • Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.

  • Translate business data requirements into technical specifications and scalable solutions.

  • Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.

  • Design and implement secure, cloud-based data infrastructure and access mechanisms.

  • Monitor and optimize ETL systems and databases for performance, reliability, and scalability.

  • Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.

  • Collaborate with data stewards to enforce data governance, quality, and security policies.

  • Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.

  • Develop standardized approaches for assessments, discovery, and solutioning grounded in best practices.

  • Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Requirements

  1. Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

  2. 5–10 years of experience in data engineering, cloud infrastructure, or platform engineering, with strong foundation in data system design, data structures, algorithms, and data architecture modelling.

  3. Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop), along with proficiency in Python and SQL.

  4. Experience with orchestration and DevOps tools (Airflow, Azure Data Factory, Docker, Git, Terraform), CI/CD pipelines, and infrastructure-as-code practices; familiarity with Databricks, Snowflake, or Denodo and building batch/real-time data pipelines.

  5. Strong understanding of data governance, security, and privacy (especially in public sector environments would be an added advantage), with excellent communication, stakeholder management, and mentoring capabilities.

This is a 1-year Contract position under People Advantage(Certis Group). We appreciate your application and regret only shortlisted candidates will be notified.

By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (www.certisgroup.com/privacy-policy).

EA Personnel Name: Siti Khatijah

EA Personnel No: R22111204

EA License No: 11C3955