SalaryPeak

Data Engineer (GIS)

WEBSPARKS PTE. LTD.
Singapore 4+ years Posted Apr 18, 2026

Salary Range

SGD 84,000 - SGD 132,000 /year

SGD 7,000 - SGD 11,000/month

Skills Required

CleaningDesignCollaborating With Product ManagersData Pipelinespatial dataPostGIScoordinating developersData IntegrationGISTransformationArcGISPythonGeospatial DataBig-picture ThinkingBackend Development

Job Description

  • 1-year contract, renewable
  • Hybrid work arrangement
  • Government project

General Requirements

  • 4 years of experience in supporting the development of scalable, data-driven products in a government environment.
  • Able to communicate well, with strong conviction in the Government’s mission and good user management skills
  • Experienced in running major projects with strong management skills
  • Able to think of the big picture while being able to deep-dive into details when required
  • Comfortable being hands-on and going onsite (e.g. project sites) if required

Responsibilities

  • Design, develop and deploy data tables, views and marts in data warehouses, operational data stores, data lakes and data virtualization environments
  • Perform data extraction, cleaning, transformation, and data flow management
  • Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks
  • Integrate and collate data silos in a scalable and compliant manner
  • Collaborate with Product Managers, Data Architects, Business Analysts, Frontend Developers, Designers and Data Analysts to build scalable data-driven products
  • Develop backend APIs and work on databases to support applications
  • Work in an Agile environment that practices Continuous Integration and Delivery
  • Work closely with fellow developers through pair programming and code review processes

GIS / Spatial Skillsets

  • Familiar with GIS platforms such as ArcGIS Server and PostGIS
  • Able to use spatial Python libraries such as GeoPandas and Shapely
  • Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources
  • Implement data cataloging, metadata, lineage, and security; optimize storage and performance for GIS analytics (e.g. PostGIS, data lakes)
  • Provide reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams
  • Apply data validation, cleansing, reprojection, metadata, and data lineage for geospatial data
  • Design enterprise geospatial data models, schemas, pipelines, and services; build or configure web map services and front-end visualization components
  • Ensure data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets