Senior Data Engineer (Paya Lebar)

Job Scope

• 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 GovTech best practices.

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



Requirements

• Bachelor's degree in computer science, Software Engineering, Information Technology, or related disciplines.
• 5-10 years of experience in data engineering, cloud infrastructure, or platform engineering
• Deep understanding of data system design, data structures, algorithms, and data architecture modelling.
  
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
  
• Proficiency in Python and SQL.
  
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
  
• Familiarity with CI/CD pipelines and infrastructure-as-code practices.
  
• Experience with Databricks / Snowflake / Denodo and implementing batch/real-time data pipelines.
  
• Strong knowledge of data governance, security, and privacy (especially in public sector contexts).
  
• Exceptional communication and stakeholder management skills.
  

• Proven ability to mentor and develop future technical leaders.

Duration/Working Hours

6 months from 1st June 2026, 42 hours / week